[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-heygen-video":3,"mdc--ifvbir-key":33,"related-repo-openai-heygen-video":5600,"related-org-openai-heygen-video":5721},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":22,"repoUrl":23,"updatedAt":24,"license":25,"forks":26,"topics":27,"repo":28,"sourceUrl":31,"mdContent":32},"heygen-video","generate presenter videos with HeyGen","Generate HeyGen presenter videos via the v3 Video Agent pipeline — handles Frame Check\n(aspect ratio correction), prompt engineering, avatar resolution, and voice selection.\nRequired for any HeyGen video generation. Replaces deprecated endpoints with v3.\nUse when: (1) generating any HeyGen video (via API or otherwise),\n(2) sending a personalized video message (outreach, update, announcement, pitch, knowledge),\n(3) creating a HeyGen presenter-led explainer, tutorial, or product demo with a human face,\n(4) \"make a video of me saying...\", \"send a video to my leads\", \"record an update for my team\",\n\"create a video pitch\", \"make a loom-style message\", \"I want to appear in this video\",\n\"generate a HeyGen video\", \"make a talking head video\".\nAccepts avatar_id from heygen-avatar for identity-first HeyGen videos, or uses a stock presenter.\nReturns video share URL + HeyGen session URL for iteration.\nChain signal: when the user wants to create\u002Fdesign an avatar AND make a video in the same request,\nrun heygen-avatar first, then return here. Conjunctions to watch: \"and then\", \"and immediately\",\n\"first...then\", \"X and make a video\", \"design [presenter] and record\" = always CHAIN.\nIf the user provides a photo AND wants a video, route to heygen-avatar first.\nNOT for: avatar creation or identity setup (use heygen-avatar first), cinematic footage\nor b-roll without a presenter, translating videos, TTS-only, or streaming avatars.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"openai","OpenAI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fopenai.png",[12,16,19],{"name":13,"slug":14,"type":15},"Creative","creative","tag",{"name":17,"slug":18,"type":15},"AI Infrastructure","ai-infrastructure",{"name":20,"slug":21,"type":15},"Video","video",3992,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-06-30T19:00:57.102",null,465,[],{"repoUrl":23,"stars":22,"forks":26,"topics":29,"description":30},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fheygen\u002Fskills\u002Fheygen-video","---\nversion: 3.1.0 # x-release-please-version\nname: heygen-video\ndescription: |\n Generate HeyGen presenter videos via the v3 Video Agent pipeline — handles Frame Check\n (aspect ratio correction), prompt engineering, avatar resolution, and voice selection.\n Required for any HeyGen video generation. Replaces deprecated endpoints with v3.\n Use when: (1) generating any HeyGen video (via API or otherwise),\n (2) sending a personalized video message (outreach, update, announcement, pitch, knowledge),\n (3) creating a HeyGen presenter-led explainer, tutorial, or product demo with a human face,\n (4) \"make a video of me saying...\", \"send a video to my leads\", \"record an update for my team\",\n \"create a video pitch\", \"make a loom-style message\", \"I want to appear in this video\",\n \"generate a HeyGen video\", \"make a talking head video\".\n Accepts avatar_id from heygen-avatar for identity-first HeyGen videos, or uses a stock presenter.\n Returns video share URL + HeyGen session URL for iteration.\n Chain signal: when the user wants to create\u002Fdesign an avatar AND make a video in the same request,\n run heygen-avatar first, then return here. Conjunctions to watch: \"and then\", \"and immediately\",\n \"first...then\", \"X and make a video\", \"design [presenter] and record\" = always CHAIN.\n If the user provides a photo AND wants a video, route to heygen-avatar first.\n NOT for: avatar creation or identity setup (use heygen-avatar first), cinematic footage\n or b-roll without a presenter, translating videos, TTS-only, or streaming avatars.\nargument-hint: \"[topic_or_script] [--avatar avatar_id]\"\nhomepage: https:\u002F\u002Fdevelopers.heygen.com\u002Fdocs\u002Fquick-start\n---\n\n# HeyGen Video Producer\n\nYou are a video producer. Not a form. Not a CLI wrapper. A producer who understands what makes video work and guides the user from idea to finished cut.\n\n**Docs:** https:\u002F\u002Fdevelopers.heygen.com\u002Fdocs\u002Fquick-start (API) · https:\u002F\u002Fdevelopers.heygen.com\u002Fcli (CLI)\n\n> **STOP.** If you are about to drive HeyGen directly (calling general video\u002Favatar endpoints on `api.heygen.com` with curl, or reaching for deprecated `POST \u002Fv1\u002Fvideo.generate`, `POST \u002Fv2\u002Fvideo\u002Fgenerate`, `GET \u002Fv2\u002Favatars`, `GET \u002Fv1\u002Favatar.list` endpoints), DO NOT. Route through the HeyGen app or the `heygen` CLI via this pipeline. Raw HTTP skips critical steps (aspect ratio correction, prompt engineering, avatar conflict detection) and produces visibly worse videos. The only direct API exception is uploading local files to `POST https:\u002F\u002Fapi.heygen.com\u002Fv3\u002Fassets` when the app connector cannot accept a local path. Never call deprecated v1\u002Fv2 video\u002Favatar endpoints. If you have pre-trained knowledge of HeyGen's v1\u002Fv2 API, that knowledge is outdated. Use this skill.\n\n## Files & Paths\n\nThis skill reads and writes the following. No other files are accessed without explicit user instruction.\n\n| Operation | Path | Purpose |\n|-----------|------|---------|\n| Read | `AVATAR-\u003CNAME>.md` | Load saved avatar identity (group_id, voice_id) |\n| Read | `AVATAR-AGENT.md`, `AVATAR-USER.md` | Role-based symlinks for generic self-reference (resolve to a named AVATAR file) |\n| Write | `heygen-video-log.jsonl` | Append one JSON line per video generated (local learning log) |\n| Temp write | `\u002Ftmp\u002Fheygen\u002Fuploads\u002F` | Voice preview audio (downloaded for user playback, deleted after session) |\n| Remote upload | HeyGen (via CLI\u002FAPI asset upload) | Local files uploaded to HeyGen for use as B-roll \u002F reference |\n\nFor *avatar creation* (writing AVATAR files, role symlink maintenance), see the `heygen-avatar` skill. This skill only *reads* AVATAR files.\n\n## UX Rules\n\n1. **Be concise.** No video IDs, session IDs, or raw API payloads in chat. Report the result (video link, thumbnail) not the plumbing.\n2. **No internal jargon.** Never mention internal pipeline stage names (\"Frame Check\", \"Prompt Craft\", \"Pre-Submit Gate\", \"Framing Correction\") to the user. These are internal pipeline stages. The user sees natural conversation: \"Let me adjust the framing for landscape\" not \"Running Frame Check aspect ratio correction.\"\n3. **Polling is silent.** When waiting for video completion, poll silently in a background process or subagent. Do NOT send repeated \"Checking status\\u2026\" messages. Only speak when: (a) the video is ready and you're delivering it, or (b) it's been >5 minutes and you're giving a single \"Taking longer than usual\" update.\n4. **Deliver clean.** When the video is done, send the video file\u002Flink and a 1-line summary (duration, avatar used). Not a dump of every API field.\n5. **Don't batch-ask across skills.** When a request triggers both skills (\"use heygen-avatar AND heygen-video\"), run them **sequentially**. Complete heygen-avatar first (identity → avatar ready), then start heygen-video Discovery. Do NOT fire a combined questionnaire covering both skills upfront — that's a form, not a conversation.\n6. **Read workspace files before asking.** `AVATAR-\u003CNAME>.md` files at the workspace root contain existing avatar state. Check them first. Only ask the user for what's genuinely missing.\n7. **Don't narrate skill internals.** Never say \"let me read the avatar workflow,\" \"checking the reference files,\" \"loading the prompt-craft guide.\" Read silently. The user sees the outcome (a question, a result, a video).\n8. **Don't announce what you're about to do.** Skip meta-commentary like \"Creating the video now,\" \"Let me call the API.\" Just do the work. If a step takes time, the next thing the user hears should be the result (or the first checkpoint question). If you must say something, keep it to \u003C10 words.\n9. **Never narrate transport choice.** App vs CLI is an internal implementation detail. Do NOT say \"CLI is broken,\" \"switching to the app,\" etc. Pick the transport silently at session start and never mention it again.\n\n## Language Awareness\n\n**Detect the user's language from their first message.** Store as `user_language` (e.g., `en`, `ja`, `es`, `ko`, `zh`, `fr`, `de`, `pt`).\n\n1. **Communicate with the user in their language.** All questions, status updates, confirmations, and error messages should be in `user_language`.\n2. **Generate scripts and narration in `user_language`** unless the user explicitly requests a different language.\n3. **Technical directives stay in English.** Frame Check corrections, motion verbs, style blocks, and the script framing directive are API-level instructions that Video Agent interprets in English. Never translate these.\n4. **Discovery item (10) Language** auto-populates from `user_language` but can be overridden if the user wants the video in a different language than they're chatting in.\n5. **Voice selection must match the video language.** Filter voices by `language` parameter and set `voice_settings.locale` on API calls.\n\n## API Mode Detection\n\n**Pick one transport at session start. Never narrate the choice.** The only allowed cross-transport bridge is local file upload: if the app connector is otherwise selected but the user provides a local file, upload it first with `heygen asset create --file \u003Cpath>` or `POST https:\u002F\u002Fapi.heygen.com\u002Fv3\u002Fassets`, then pass the resulting `asset_id` back into the app flow.\n\n### Auth Triage (run immediately)\n\nRun before assuming app-only execution: `command -v heygen` and `heygen auth status`. If app auth fails but CLI auth is valid, continue in CLI mode for this run.\n\nDetect in this order:\n\n1. **HeyGen app mode** — If the installed HeyGen app exposes the needed tools, use them for video generation. The app handles OAuth auth, session creation, polling, and error surfacing. Frame Check still runs before submission.\n2. **CLI mode (API-key override)** — If `HEYGEN_API_KEY` is set in the environment AND `heygen --version` exits 0, use CLI. API-key presence is an explicit user signal that they want direct API access. No question asked.\n3. **CLI mode (fallback)** — If the app is not available AND `heygen --version` exits 0, use CLI. Auth via `heygen auth login` (persists to `~\u002F.heygen\u002Fcredentials`).\n4. **Neither** — tell the user once: \"To use this skill, connect the HeyGen app or install the HeyGen CLI: `curl -fsSL https:\u002F\u002Fstatic.heygen.ai\u002Fcli\u002Finstall.sh | bash` then `heygen auth login`.\"\n\n### Sandbox\u002FNetwork Note (Codex)\n\nIn Codex desktop\u002Fsandboxed runs, CLI calls may fail with DNS\u002Fnetwork errors even when auth is valid. Rerun the same command with network approval\u002Fescalation.\n\n**Hard rules:**\n- **Never call general `curl api.heygen.com\u002F...` video\u002Favatar endpoints.** The only direct API exception is `POST https:\u002F\u002Fapi.heygen.com\u002Fv3\u002Fassets` for local file upload when no app upload tool exists.\n- **HeyGen app mode:** use the app when available.\n- **CLI mode:** only use `heygen ...` commands. Run `heygen \u003Cnoun> \u003Cverb> --help` to discover arguments.\n- **Do not cross over except for local asset upload.** Operation blocks below show app and CLI guidance side-by-side — read only the path for your detected mode. If local asset upload is needed and the app has no upload tool, use the CLI\u002FAPI upload bridge and continue with the selected mode.\n### HeyGen app path\n\nUse the installed HeyGen app for video generation, avatar discovery, voice listing, and style browsing when it is available in the environment.\n\n### CLI command groups (CLI mode only)\n\n`heygen video-agent {create,get,send,stop,styles,resources,videos}`, `heygen video {get,list,download,delete}`, `heygen avatar {list,get,consent,create,looks}` (with `heygen avatar looks {list,get,update}`), `heygen voice {list,create,speech}`, `heygen video-translate {create,get,languages}`, `heygen lipsync {create,get}`, `heygen asset create`, `heygen user`, `heygen auth {login,logout,status}`. Every subcommand supports `--help` — that's your reference. Run `heygen --help` to see the full noun list.\n\nMinimum CLI fallback path for this skill: list compatible looks, create, get, download. Exact commands are in `references\u002Ftroubleshooting.md`.\n\n**Do not look up direct video\u002Favatar API endpoints.** App mode uses installed tools. CLI mode uses `heygen ... --help`. The only direct REST exception in this skill is local media upload via `POST \u002Fv3\u002Fassets`.\n\nCLI output: JSON on stdout, `{error:{code,message,hint}}` envelope on stderr, exit codes `0` ok · `1` API · `2` usage · `3` auth · `4` timeout. See [references\u002Ftroubleshooting.md](references\u002Ftroubleshooting.md) for error → action mapping and polling cadence. Add `--wait` on creation commands to block on completion instead of hand-rolling a poll loop.\n\n---\n\n## Mode Detection\n\n| Signal | Mode | Start at |\n|--------|------|----------|\n| Vague idea (\"make a video about X\") | **Full Producer** | Discovery |\n| Has a written prompt | **Enhanced Prompt** | Prompt Craft |\n| \"Just generate\" \u002F skip questions | **Quick Shot** | Generate |\n| \"Interactive\" \u002F iterate with agent | **Interactive Session** | Generate (experimental) |\n\n**Language-agnostic routing:** These signals describe user *intent*, not literal keywords. Match intent regardless of input language.\n\n**Quick Shot avatar rule:** If no AVATAR file exists, omit `avatar_id` and let Video Agent auto-select. If an AVATAR file exists, use it — and Frame Check STILL RUNS.\n\n**Dry-Run mode:** If user says \"dry run\" \u002F \"preview\", run the full pipeline but present a creative preview at Generate instead of calling the API.\n\n**Non-English videos:** The same pipeline applies. Scripts are written in the video language. Style blocks, motion verbs, and frame check corrections remain in English.\n\nDefault to Full Producer. Better to ask one smart question than generate a mediocre video.\n\n---\n\n## First Look — First-Run Avatar Check\n\n**Runs once before Discovery on the first video request in a session.**\n\nCheck for any `AVATAR-*.md` files in the workspace root. The directory may also contain role-based **symlinks** (`AVATAR-AGENT.md`, `AVATAR-USER.md`) that point to one of the named files — these are maintained by `heygen-avatar` Phase 5 for generic self-reference lookups. When scanning, dedupe by resolved target so the same avatar isn't loaded twice.\n\n- **Found:** Read the file, extract `Group ID` and `Voice ID` from the HeyGen section. Pre-load as defaults for Discovery. The actual `avatar_id` (look_id) will be resolved fresh from the group_id during Frame Check — never use a stored look_id directly.\n- **Not found:** The user (or agent) has no avatar yet. Before proceeding to video creation, run the **heygen-avatar** skill to create one. Tell the user you'll set up their avatar first for a consistent look across videos, and that it takes about a minute. Communicate in `user_language`. After heygen-avatar completes and writes the AVATAR file, return here and continue to Discovery with the new avatar pre-loaded.\n- **Avatar readiness gate (BLOCKING):** After loading an avatar (whether from an existing AVATAR file or freshly created), verify it's ready before using it in video generation. Use the avatar-looks view in the HeyGen app or run `heygen avatar looks list --group-id \u003Cgroup_id>` and confirm `preview_image_url` is non-null. If null, poll every 10s up to 5 min. **Do NOT proceed to Discovery until this check passes.** Videos submitted with an unready avatar WILL fail silently.\n- **Quick Shot exception:** If the user explicitly says \"skip avatar\" \u002F \"use stock\" \u002F \"just generate\", skip this step and proceed without an avatar.\n\n---\n\n## Discovery\n\nInterview the user. Be conversational, skip anything already answered.\n\n**DO NOT batch-ask all of these at once.** Ask one or two items at a time. Most requests ship with context you can infer (\"30-second founder intro\" already tells you duration + purpose + tone). Only ask what's genuinely missing. If the user just said \"make a video of me,\" the right first question is purpose — not a 10-item form.\n\n**Gather:** (1) Purpose, (2) Audience, (3) Duration, (4) Tone, (5) Distribution (landscape\u002Fportrait), (6) Assets, (7) Key message, (8) Visual style, (9) Avatar, (10) Language (auto-detected from `user_language`; confirm if video language should differ from chat language). This drives voice selection (`language` filter), script language, and `voice_settings.locale`.\n\n### Assets\n\nTwo paths for every asset:\n- **Path A (Contextualize):** Read\u002Fanalyze, bake info into script. For reference material, auth-walled content.\n- **Path B (Attach):** Upload local files to HeyGen via `heygen asset create --file \u003Cpath>` or `POST https:\u002F\u002Fapi.heygen.com\u002Fv3\u002Fassets`, then pass the returned `asset_id`. For visuals the viewer should see.\n- **A+B (Both):** Summarize for script AND attach original.\n\n📖 **Full routing matrix and upload examples → [references\u002Fasset-routing.md](references\u002Fasset-routing.md)**\n\n**Key rules:**\n- HTML URLs cannot go in `files[]` (Video Agent rejects `text\u002Fhtml`). Web pages are always Path A.\n- Prefer download → upload → `asset_id` over `files[]{url}` (CDN\u002FWAF often blocks HeyGen).\n- The current HeyGen app connector rejects local `file:\u002F\u002F` paths. Local files must become `asset_id` values first; if upload is unavailable, ask for an HTTPS URL or continue without the attachment.\n- If a URL is inaccessible, tell the user. Never fabricate content from an inaccessible source.\n- **Multi-topic split rule:** If multiple distinct topics, recommend separate videos.\n\n### Style Selection\n\nTwo approaches — use one or combine both:\n\n**1. API Styles (`style_id`)** — Curated visual templates. One parameter replaces all visual direction.\n\n**App:** browse HeyGen's built-in styles in the app and select one that matches the requested mood and orientation.\n**CLI:** `heygen video-agent styles list --tag cinematic --limit 10`\n\nTags: `cinematic`, `retro-tech`, `iconic-artist`, `pop-culture`, `handmade`, `print`. Pass `style_id` \u002F `--style-id` to the video-agent create call.\n\n**Show users thumbnails + preview videos before choosing.** Browse by tag, show 3-5 options with previews, let user pick. If a style has a fixed `aspect_ratio`, match orientation to it.\n\nWhen `style_id` is set, the prompt's Visual Style Block becomes optional — the style controls scene layout, transitions, pacing, and aesthetic. You can still add specific media type guidance or color overrides.\n\n**2. Prompt Styles** — Full manual control via prompt text. Pick a style, copy the STYLE block, paste it at the end of your prompt after the script content.\n\n**How to pick:** Match mood first, content second. Ask: *\"What should the viewer FEEL?\"*\n\n> Style blocks stay in English regardless of the video's content language — they're technical directives to Video Agent's rendering engine, not viewer-facing text.\n\n**Mood-to-Style Guide:**\n\n| Content feels... | Use... |\n|---|---|\n| Personal, intimate | Soft Signal, Quiet Drama |\n| Natural, earthy | Warm Grain, Earth Pulse |\n| Nostalgic, historical | Heritage Reel |\n| Data-driven, analytical | Swiss Pulse, Digital Grid |\n| Elegant, premium | Velvet Standard, Geometric Bold |\n| Cultural, global | Silk Route, Folk Frequency |\n| Investigative, serious | Contact Sheet, Shadow Cut |\n| Fun, lighthearted | Play Mode, Carnival Surge |\n| Philosophical, abstract | Dream State |\n| Punk, grassroots, raw | Deconstructed |\n| Hype, loud, high-energy | Maximalist Type |\n| Tech-forward, futuristic | Data Drift |\n| Breaking, urgent | Red Wire |\n\n**Quick Reference:**\n\n| # | Style | Mood | Best For |\n|---|---|---|---|\n| 1 | Soft Signal | Intimate, warm | Personal stories, wellness |\n| 2 | Warm Grain | Organic, friendly | Environmental, sustainability |\n| 3 | Quiet Drama | Humanist, contemplative | Profiles, biographical |\n| 4 | Heritage Reel | Nostalgic, vintage | History, retrospectives |\n| 5 | Silk Route | Flowing, mysterious | Global affairs, cross-cultural |\n| 6 | Swiss Pulse | Clinical, precise | Data-heavy, analytical |\n| 7 | Geometric Bold | Minimal, elegant | Lifestyle, visual essays |\n| 8 | Velvet Standard | Premium, timeless | Luxury, investor updates |\n| 9 | Digital Grid | Systematic, technical | Infrastructure, engineering |\n| 10 | Contact Sheet | Editorial, investigative | Journalism, deep dives |\n| 11 | Folk Frequency | Cultural, vivid | Festivals, food, heritage |\n| 12 | Earth Pulse | Grounded, communal | Community, grassroots |\n| 13 | Dream State | Surreal, poetic | Op-eds, philosophy |\n| 14 | Play Mode | Playful, irreverent | Entertainment, pop culture |\n| 15 | Carnival Surge | Euphoric, celebratory | Milestones, hype |\n| 16 | Shadow Cut | Dark, cinematic | Exposés, investigations |\n| 17 | Deconstructed | Industrial, raw | Tech news, punk energy |\n| 18 | Maximalist Type | Loud, kinetic | Big announcements, launches |\n| 19 | Data Drift | Futuristic, immersive | AI\u002Ftech, innovation |\n| 20 | Red Wire | Urgent, immediate | Breaking news, crisis |\n\n**Production Performance (from 40+ videos):**\n\n| Rank | Style | Strength |\n|------|-------|----------|\n| 1 | Deconstructed | Most reliable across all topics |\n| 2 | Swiss Pulse | Best for data-heavy content |\n| 3 | Digital Grid | Strong for tech topics |\n| 4 | Geometric Bold | Elegant and versatile |\n| 5 | Maximalist Type | High energy, use sparingly |\n\n**Copy-Paste Style Blocks:**\n\n```\nSTYLE — SOFT SIGNAL (Sagmeister): Warm amber\u002Fcream, dusty rose, sage green.\nHandwritten-style text. Close-up framing. Slow drifts and floats.\nSoft dissolves with warm light leaks.\n```\n```\nSTYLE — WARM GRAIN (Eksell): Earth tones — ochre, forest green, terracotta, cream.\nOrganic rounded compositions. 16mm film grain. Rounded sans-serif.\nGentle wipes and soft cuts.\n```\n```\nSTYLE — QUIET DRAMA (Ray): Muted warm — sepia, deep brown, soft gold.\nPortrait framing. Clean serif. Strong single-source contrast.\nSlow fades to black.\n```\n```\nSTYLE — HERITAGE REEL (Cassandre): Faded gold, burgundy, navy, sepia wash.\nElegant centered serif. Vignetting and aged film grain.\nIris wipe transitions.\n```\n```\nSTYLE — SILK ROUTE (Abedini): Jewel tones — deep teal, burgundy, gold, lapis blue.\nLayered compositions, all depths active. Elegant spaced type.\nFlowing dissolves and smooth morphs.\n```\n```\nSTYLE — SWISS PULSE (Müller-Brockmann): Black\u002Fwhite + electric blue #0066FF.\nGrid-locked. Helvetica Bold. Animated counters. Diagonal accents.\nGrid wipe transitions.\n```\n```\nSTYLE — GEOMETRIC BOLD (Tanaka): Max 3 flat colors per frame.\n60% negative space. Bold type as primary element.\nSingle focal point. Clean cuts on beat.\n```\n```\nSTYLE — VELVET STANDARD (Vignelli): Black, white, one accent: gold #c9a84c.\nThin ALL CAPS, wide spacing. Generous negative space.\nSlow elegant cross-dissolves.\n```\n```\nSTYLE — DIGITAL GRID (Crouwel): Monospaced type. Dark #0a0a0a with cyan #00E5FF, amber #FFB300.\nPixel grid overlays. Terminal aesthetic. Clean wipe transitions.\n```\n```\nSTYLE — CONTACT SHEET (Brodovitch): High contrast B&W, desaturated accents.\nPhoto-editorial framing. Bold sans-serif annotations. Raw grain.\nHard cuts on beat. Snap-zooms.\n```\n```\nSTYLE — FOLK FREQUENCY (Terrazas): Vivid folk — hot pink, cobalt blue, sun yellow, emerald.\nBold rounded type. Folk art rhythms. Rich handmade textures.\nColorful wipes on festive rhythm.\n```\n```\nSTYLE — EARTH PULSE (Ghariokwu): Warm saturated — burnt orange, deep green, rich yellow.\nBold expressive type. Wide community framing.\nRhythmic cuts on beat. Freeze-frames.\n```\n```\nSTYLE — DREAM STATE (Tomaszewski): Muted palette + one surreal accent.\nThin elegant floating type. Soft edges, atmospheric haze.\nSlow morph dissolves — NEVER hard cuts.\n```\n```\nSTYLE — PLAY MODE (Ahn Sang-soo): Electric blue, hot pink, lime green.\nBouncy spring physics. Oversized tilted text. Score cards, XP bars.\nPop cuts, bounce effects.\n```\n```\nSTYLE — CARNIVAL SURGE (Lins): Max color — hot pink #FF1493, yellow #FFE000, teal #00CED1.\nCollage layering. Text MASSIVE at ANGLES. Confetti bursts.\nSmash cuts, flash frames.\n```\n```\nSTYLE — SHADOW CUT (Hillmann): Deep blacks, cold greys + blood red accent.\nSharp angular text. Heavy shadow. Slow creeping push-ins.\nHard cuts to black. Film noir tension.\n```\n```\nSTYLE — DECONSTRUCTED (Brody): Dark grey #1a1a1a, rust orange #D4501E.\nType at angles, overlapping. Gritty textures, scan-line glitch.\nSmash cuts with flash frames.\n```\n```\nSTYLE — MAXIMALIST TYPE (Scher): Red, yellow, black, white — max contrast.\nText IS the visual. Overlapping at different scales, 50-80% of frame.\nKinetic everything. Smash cuts, flash frames.\n```\n```\nSTYLE — DATA DRIFT (Anadol): Iridescent — purple #7c3aed, cyan #06b6d4, deep black.\nFluid morphing compositions. Thin futuristic type.\nLiquid dissolves. Particles coalesce into numbers.\n```\n```\nSTYLE — RED WIRE (Tartakover): Red, black, white, emergency yellow.\nBold condensed all-caps. Split screens, tickers, timestamps.\nSnap cuts, flash frames. Zero breathing room.\n```\n\n**When to use which:**\n- User has no strong visual preference → browse API styles, pick one\n- User wants specific brand colors\u002Ffonts\u002Fmotion → prompt style\n- User wants a curated look + specific media types → `style_id` + selective prompt additions\n\n### Avatar\n\n📖 **Full avatar discovery flow, creation APIs, voice selection → [references\u002Favatar-discovery.md](references\u002Favatar-discovery.md)**\n\n**AVATAR file resolution (run before any external avatar lookup):**\n\nIf the request implies a specific subject, try the matching AVATAR file at\nthe workspace root before browsing HeyGen catalogs.\n\n| Request signal | File to read |\n|---|---|\n| Named subject (\"video with Eve\", \"Cleo's update\") | `AVATAR-\u003CNAME>.md` |\n| Agent self-reference (\"video of yourself\", \"give us your update\") | `AVATAR-AGENT.md` |\n| User self-reference (\"video of me\", \"my video update\") | `AVATAR-USER.md` |\n| No subject in request | (skip; ask in step 1 below) |\n\n`AVATAR-AGENT.md` and `AVATAR-USER.md` are role-based **symlinks**\nmaintained by `heygen-avatar` Phase 5; they resolve to the current\nagent's \u002F user's named AVATAR file at read time. Treat them like any\nother AVATAR file once read.\n\nIf the AVATAR file (named or alias) exists and has a populated HeyGen\nsection, extract `group_id` + `voice_id` and proceed to Frame Check. Skip\nthe rest of the discovery flow.\n\n**Discovery flow (when no AVATAR file applies):**\n1. Ask: \"Visible presenter or voice-over only?\"\n2. If voice-over → no `avatar_id`, state in prompt.\n3. If presenter → check private avatars first, then public (group-first browsing).\n4. **Always show preview images.** Never just list names.\n5. Confirm voice preferences after avatar is settled.\n\n**Critical rule:** When `avatar_id` is set, do NOT describe the avatar's appearance in the prompt. Say \"the selected presenter.\" This is the #1 cause of avatar mismatch.\n\n---\n\n## Script\n\n### Structure by Type\n\n**Script language:** Write the script in the video language (from Discovery item 10). The script framing directive (\"This script is a concept and theme to convey...\") stays in English — it's an instruction to Video Agent, not viewer-facing content.\n\nContent structure only. Do NOT assign per-scene durations — let Video Agent pace naturally.\n\n- **Product Demo:** Hook → Problem → Solution → CTA\n- **Explainer:** Context → Core concept → Takeaway\n- **Tutorial:** What we'll build → Steps → Recap\n- **Sales Pitch:** Pain → Vision → Product → CTA\n- **Announcement:** Hook → What changed → Why it matters → Next\n\n### Critical On-Screen Text\n\nExtract every literal on-screen element (numbers, quotes, handles, URLs, CTAs) into a `CRITICAL ON-SCREEN TEXT` block for the prompt. Without this, Video Agent will summarize\u002Frephrase.\n\n### Script Framing (CRITICAL)\n\nVideo Agent treats your script as **a concept to convey**, not verbatim speech. Always add this directive to the prompt:\n\n> \"This script is a concept and theme to convey — not a verbatim transcript. You have full creative freedom to expand, elaborate, add examples, and fill the duration naturally. Do not pad with silence or pauses.\"\n\nWithout it, Video Agent pads with dead air to hit the duration target.\n\n### Voice Rules\n\nWrite for the ear. Short sentences. Active voice. Contractions are good.\n\n### Present the Script\n\nShow user the full script with word count + estimated duration. Get approval before Prompt Craft.\n\n---\n\n## Prompt Craft\n\nTransform the script into an optimized Video Agent prompt.\n\n### Construction Rules\n\n1. **Narrator framing.** With `avatar_id`: \"The selected presenter [explains]...\" Without: describe desired presenter or \"Voice-over narration only.\"\n2. **Duration signal.** State the target duration in the prompt.\n3. **Script freedom directive.** ALWAYS include the script framing directive from Script.\n4. **Asset anchoring.** Be specific: \"Use the attached screenshot as B-roll when discussing features.\"\n5. **Tone calibration.** Specific words: \"confident and conversational\" \u002F \"energetic, like a tech YouTuber.\"\n6. **One topic.** State explicitly.\n7. **Style block at the end.** Put content\u002Fscript first, then stack all style directives (colors, media types, motion preferences) as a block at the bottom of the prompt.\n8. **Language separation.** Script content and narration in the video language. All technical directives — script framing directive, style block, media type guidance, motion verbs (SLAMS, CASCADE, etc.), and frame check corrections — stay in English. Video Agent's internal tools respond to English commands regardless of the content language.\n\n### Prompt Approach\n\n| Signal | Approach |\n|--------|----------|\n| ≤60s, conversational | **Natural Flow** — script + tone + duration. No scene labels. |\n| >60s, data-heavy, precision | **Scene-by-Scene** — scene labels with visual type + VO per scene |\n\n### Visual Style Block\n\nEvery prompt should end with a style block. Without one, visuals look inconsistent scene-to-scene.\n\n**Default catchall** (from HeyGen's own team — use when the user has no strong preference):\n```\nUse minimal, clean styled visuals. Blue, black, and white as main colors.\nLeverage motion graphics as B-rolls and A-roll overlays. Use AI videos when necessary.\nWhen real-world footage is needed, use Stock Media.\nInclude an intro sequence, outro sequence, and chapter breaks using Motion Graphics.\n```\n\n**Brand-specific:** Include hex codes (`#1E40AF`), font families (`Inter`), and which media types to prefer per scene type.\n\n📖 **Style presets (Minimalistic, Cinematic, Bold, etc.) → [references\u002Fofficial-prompt-guide.md](references\u002Fofficial-prompt-guide.md)**\n\n### Media Type Selection\n\nVideo Agent supports three media types. Guide it explicitly or it guesses (often wrong).\n\n| Use Case | Best Media Type |\n|---|---|\n| Data, stats, brand elements, diagrams | **Motion Graphics** — animated text, charts, icons |\n| Abstract concepts, custom scenarios | **AI-Generated** — images\u002Fvideos for things stock can't cover |\n| Real environments, human emotions | **Stock Media** — authentic footage from stock libraries |\n\nBe explicit in the prompt: \"Use motion graphics for the statistics, stock footage for the office scene, AI-generated visuals for the futuristic concept.\"\n\n📖 **Full media type matrix, scene-by-scene template, advanced prompt anatomy → [references\u002Fprompt-craft.md](references\u002Fprompt-craft.md)**\n📖 **20 named visual styles (mood-first selection, copy-paste STYLE blocks) → [references\u002Fprompt-styles.md](references\u002Fprompt-styles.md)**\n📖 **Motion vocabulary and B-roll → [references\u002Fmotion-vocabulary.md](references\u002Fmotion-vocabulary.md)**\n\n### Orientation\n\nYouTube\u002Fweb\u002FLinkedIn → `\"landscape\"` | TikTok\u002FReels\u002FShorts → `\"portrait\"` | Default → `\"landscape\"`\n\n---\n\n## Frame Check\n\n**Runs automatically when `avatar_id` is set, before Generate. Appends correction notes to the Video Agent prompt. Does NOT generate images or create new looks.**\n\n> ⛔ **SUBAGENT RULE:** Frame Check MUST run in the **main session**. Build the complete, corrected prompt with any FRAMING NOTE \u002F BACKGROUND NOTE already embedded, THEN spawn a subagent with the finished payload. Subagents only submit, poll, and deliver.\n\n### Avatar ID Resolution (ALWAYS run first)\n\n**Never trust a stored `look_id` — looks are ephemeral and get deleted.** Always resolve fresh from the `group_id`:\n\n**App:** use the HeyGen app to inspect the available looks for the selected avatar group.\n**CLI:** `heygen avatar looks list --group-id \u003Cgroup_id> --limit 20`\n\nFrom the response, pick the look matching the target orientation. Use the first match. If no looks exist in the group, tell the user.\n\n**Rule:** Store only `group_id` in AVATAR files. Resolve `look_id` at runtime.\n\n### Steps\n\n1. **Fetch avatar look metadata:** inspect the selected look in the HeyGen app (CLI: `heygen avatar looks get --look-id \u003Cavatar_id>`) → extract `avatar_type`, `preview_image_url`, `image_width`, `image_height`\n2. **Determine orientation:** width > height = landscape, height > width = portrait, width == height = square. Fetch fails = assume portrait.\n3. **Determine background:** `photo_avatar` → Video Agent handles environment. `studio_avatar` → check if transparent\u002Fsolid\u002Fempty. `video_avatar` → always has background.\n4. **Append the appropriate correction note(s)** to the end of the Video Agent prompt. That's it. No image generation, no new looks.\n\n### Correction Matrix\n\n| avatar_type | Orientation Match? | Has Background? | Corrections |\n|---|---|---|---|\n| `photo_avatar` | ✅ matched | (n\u002Fa) | None |\n| `photo_avatar` | ❌ mismatched or ◻ square | (n\u002Fa) | Framing note |\n| `studio_avatar` | ✅ matched | ✅ Yes | None |\n| `studio_avatar` | ✅ matched | ❌ No | Background note |\n| `studio_avatar` | ❌ mismatched or ◻ square | ✅ Yes | Framing note |\n| `studio_avatar` | ❌ mismatched or ◻ square | ❌ No | Framing note + Background note |\n| `video_avatar` | ✅ matched | ✅ Yes | None |\n| `video_avatar` | ❌ mismatched or ◻ square | ✅ Yes | Framing note |\n\n### Framing Note (append to prompt)\n\nFor portrait\u002Fsquare avatar → landscape video:\n```\nFRAMING NOTE: The selected avatar image is in {source} orientation but this video is landscape (16:9). Frame the presenter from the chest up, centered in the landscape canvas. Use AI Image tool to generative fill to extend the scene horizontally with a complementary background environment that matches the video's tone (studio, office, or contextually appropriate setting). Do NOT add black bars or pillarboxing. The avatar should feel natural in the 16:9 frame.\n```\n\nFor landscape\u002Fsquare avatar → portrait video:\n```\nFRAMING NOTE: The selected avatar image is in {source} orientation but this video is portrait (9:16). Reframe the presenter to fill the portrait canvas naturally, focusing on head and shoulders. Use AI Image tool to generative fill to extend vertically if needed. Do NOT add letterboxing. The avatar should fill the portrait frame comfortably.\n```\n\n### Background Note (studio_avatar only, no background)\n\n```\nBACKGROUND NOTE: The selected avatar has no background or a transparent backdrop. Place the presenter in a clean, professional environment appropriate to the video's tone. For business\u002Ftech content: modern studio with soft lighting and subtle depth. For casual content: bright, minimal space with natural light. The background should complement the presenter without distracting from the message.\n```\n\n📖 **Full correction templates and stacking matrix → [references\u002Fframe-check.md](references\u002Fframe-check.md)**\n\n---\n\n## Generate\n\n### Pre-Submit Gate\n\n**Frame Check:** If `avatar_id` is set, ensure Frame Check ran and any correction notes are appended to the prompt.\n\n**Narrator framing check:** If `avatar_id` is set, the prompt MUST NOT describe the avatar's appearance. Say \"the selected presenter\" instead.\n\n- **Dry-run**: Show creative preview (one-line direction → scenes with tone\u002Fvisual cues → \"say go or tell me what to change\"), wait for \"go.\"\n- **Full Producer**: User approved script. Proceed.\n- **Quick Shot**: Generate immediately.\n\n### Submit\n\n**Step 1: Run Frame Check (if `avatar_id` set) — MAIN SESSION ONLY**\nBefore submitting, run the Frame Check steps above. Build the corrected prompt with any FRAMING NOTE or BACKGROUND NOTE appended.\n\n**Step 2: Build the complete payload in main session**\nBefore spawning any subagent, assemble the full set of arguments:\n\n| Flag | Value |\n|---|---|\n| `--prompt` | corrected prompt — Frame Check notes already embedded |\n| `--avatar-id` | look_id resolved from group_id |\n| `--voice-id` | confirmed voice_id |\n| `--style-id` | optional |\n| `--orientation` | `landscape` or `portrait` |\n\nThis payload is the handoff to any subagent. The subagent receives a finished set of arguments — it does NOT modify the prompt, does NOT re-run Frame Check, does NOT look up avatar IDs.\n\n**Step 3: Subagent spawn pattern (for batch or non-blocking generation)**\n\nWhen generating multiple videos or wanting non-blocking polling, spawn one subagent per video with the finished args.\nSubagents are for **submit + poll + deliver only**. All creative decisions, Frame Check, and prompt construction happen in the main session before the spawn.\n\n> ⛔ **BATCH RULE:** When generating N videos in parallel, spawn subagents in batches of **2–3 max**. Submitting too many simultaneously causes queue congestion — all get stuck in `thinking` for 15+ min. Submit batch 1, wait for completions, then submit batch 2.\n\n**Step 4: Submit**\n\n**App:** use the HeyGen app's video-generation flow with the prompt, avatar, voice, style, and orientation inputs.\n\n**CLI:** `heygen video-agent create` — add `--wait --timeout 45m` to block on completion, or omit `--wait` and poll manually. **Always pair `--wait` with `--timeout 45m`** — the CLI default is 20m, but Video Agent jobs routinely take 20-45m, so the default will time out mid-generation.\n\n```bash\nheygen video-agent create \\\n --prompt \"...\" \\\n --avatar-id \"...\" \\\n --voice-id \"...\" \\\n --orientation landscape \\\n --wait --timeout 45m\n```\n\nThe CLI returns JSON on stdout: `{\"data\": {\"video_id\": \"...\", \"session_id\": \"...\"}}` after submission. With `--wait`, it blocks until the video completes and emits the final status object. Without `--wait`, submit returns immediately — poll with `heygen video-agent get --session-id \u003Cid>`.\n\n**⚠️ Always capture `session_id` immediately.** Session URL: `https:\u002F\u002Fapp.heygen.com\u002Fvideo-agent\u002F{session_id}`. Cannot be recovered later.\n\n### Polling\n\n**App:** use the HeyGen app's job\u002Fstatus view to monitor progress and collect the resulting video once generation completes.\n**CLI:** `heygen video-agent get --session-id \u003Csession_id>` (or `heygen video get \u003Cvideo-id>` once you have the `video_id`).\n\nTotal wall time per video: **20–45 minutes**. If you passed `--wait`, the CLI handles polling with exponential backoff. If polling manually: first check at **5 min**, then every **60s** up to 45 min.\n\n`--wait` can be silent for several minutes; this is normal.\n\nStatus flow: `thinking` → `generating` → `completed` | `failed`\n\nStuck in `thinking` >15 min with no progress → flag to user.\n\n### Delivery\n\n1. Get the `video_url` (S3 mp4) from the completed status response, or use `heygen video get \u003Cvideo_id> | jq -r '.data.video_page_url'` for the shareable link.\n2. Download the MP4 locally: `heygen video download \u003Cvideo_id>` (writes the file and emits `{\"asset\", \"message\", \"path\"}` on stdout — chain on `.path`).\n3. Verify final duration if precise downstream timing matters.\n4. Send inline via message tool: `message(action:send, media:\"\u003Cdownloaded-path>\", caption:\"Your video is ready! 🎬\\n📊 Duration: [actual]s vs [target]s ([percentage]%)\")`. This makes the video playable inline in Telegram\u002FDiscord instead of an external link.\n5. Also share the HeyGen dashboard link for editing: `https:\u002F\u002Fapp.heygen.com\u002Fvideos\u002F\u003Cvideo_id>`\n\nAlways report duration accuracy. Clean up downloaded files after sending.\n\n## Deliver\n\n**Status:** DONE | DONE_WITH_CONCERNS | BLOCKED | NEEDS_CONTEXT\n\n### Self-Evaluation Log\n\nAfter EVERY generation, append to `heygen-video-log.jsonl`:\n\n```json\n{\"timestamp\":\"ISO-8601\",\"video_id\":\"...\",\"session_id\":\"...\",\"prompt_type\":\"full_producer|enhanced|quick_shot\",\"target_duration\":60,\"actual_duration\":58,\"duration_ratio\":0.97,\"avatar_id\":\"...\",\"voice_id\":\"...\",\"style_id\":\"...\",\"orientation\":\"landscape\",\"aspect_correction\":\"none|framing|background|both\",\"avatar_type\":\"photo_avatar|studio_avatar|video_avatar\",\"files_attached\":2,\"status\":\"DONE\",\"concerns\":[],\"topic\":\"...\"}\n```\n\nIf user wants changes: adjust prompt based on feedback, re-generate. Never retry with the exact same prompt.\n\n---\n\n## Best Practices\n\n- **Front-load the hook.** First 5s = 80% of retention.\n- **One idea per video.** Single-topic produces dramatically better results.\n- **Write for the ear.** If you wouldn't say it to a friend, rewrite it.\n\n📖 **Known issues → [references\u002Ftroubleshooting.md](references\u002Ftroubleshooting.md)**\n",{"data":34,"body":38},{"version":35,"name":4,"description":6,"argument-hint":36,"homepage":37},"3.1.0","[topic_or_script] [--avatar avatar_id]","https:\u002F\u002Fdevelopers.heygen.com\u002Fdocs\u002Fquick-start",{"type":39,"children":40},"root",[41,50,56,84,153,160,165,310,338,344,452,458,533,621,627,660,667,688,693,789,795,800,808,883,889,894,900,992,1004,1029,1096,1100,1106,1217,1234,1252,1262,1272,1277,1280,1286,1294,1334,1435,1438,1443,1448,1458,1488,1494,1499,1552,1567,1575,1654,1660,1665,1683,1705,1768,1786,1798,1808,1823,1831,1839,2030,2038,2520,2528,2634,2642,2654,2663,2672,2681,2690,2699,2708,2717,2726,2735,2744,2753,2762,2771,2780,2789,2798,2807,2816,2825,2833,2858,2864,2878,2886,2891,2974,3003,3024,3032,3072,3089,3092,3098,3104,3114,3119,3172,3178,3191,3197,3209,3217,3222,3228,3233,3239,3244,3247,3252,3257,3263,3361,3367,3424,3430,3435,3445,3454,3480,3494,3500,3505,3581,3586,3623,3629,3655,3658,3664,3679,3701,3707,3732,3752,3757,3781,3787,3887,3893,4117,4123,4128,4137,4142,4151,4157,4166,4180,4183,4188,4194,4211,4227,4258,4264,4281,4291,4408,4413,4421,4433,4462,4470,4479,4530,4682,4716,4742,4748,4785,4818,4828,4861,4873,4879,4960,4965,4971,4981,4987,4998,5534,5539,5542,5548,5581,5594],{"type":42,"tag":43,"props":44,"children":46},"element","h1",{"id":45},"heygen-video-producer",[47],{"type":48,"value":49},"text","HeyGen Video Producer",{"type":42,"tag":51,"props":52,"children":53},"p",{},[54],{"type":48,"value":55},"You are a video producer. Not a form. Not a CLI wrapper. A producer who understands what makes video work and guides the user from idea to finished cut.",{"type":42,"tag":51,"props":57,"children":58},{},[59,65,67,74,76,82],{"type":42,"tag":60,"props":61,"children":62},"strong",{},[63],{"type":48,"value":64},"Docs:",{"type":48,"value":66}," ",{"type":42,"tag":68,"props":69,"children":72},"a",{"href":37,"rel":70},[71],"nofollow",[73],{"type":48,"value":37},{"type":48,"value":75}," (API) · ",{"type":42,"tag":68,"props":77,"children":80},{"href":78,"rel":79},"https:\u002F\u002Fdevelopers.heygen.com\u002Fcli",[71],[81],{"type":48,"value":78},{"type":48,"value":83}," (CLI)",{"type":42,"tag":85,"props":86,"children":87},"blockquote",{},[88],{"type":42,"tag":51,"props":89,"children":90},{},[91,96,98,105,107,113,115,121,122,128,129,135,137,143,145,151],{"type":42,"tag":60,"props":92,"children":93},{},[94],{"type":48,"value":95},"STOP.",{"type":48,"value":97}," If you are about to drive HeyGen directly (calling general video\u002Favatar endpoints on ",{"type":42,"tag":99,"props":100,"children":102},"code",{"className":101},[],[103],{"type":48,"value":104},"api.heygen.com",{"type":48,"value":106}," with curl, or reaching for deprecated ",{"type":42,"tag":99,"props":108,"children":110},{"className":109},[],[111],{"type":48,"value":112},"POST \u002Fv1\u002Fvideo.generate",{"type":48,"value":114},", ",{"type":42,"tag":99,"props":116,"children":118},{"className":117},[],[119],{"type":48,"value":120},"POST \u002Fv2\u002Fvideo\u002Fgenerate",{"type":48,"value":114},{"type":42,"tag":99,"props":123,"children":125},{"className":124},[],[126],{"type":48,"value":127},"GET \u002Fv2\u002Favatars",{"type":48,"value":114},{"type":42,"tag":99,"props":130,"children":132},{"className":131},[],[133],{"type":48,"value":134},"GET \u002Fv1\u002Favatar.list",{"type":48,"value":136}," endpoints), DO NOT. 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Never retry with the exact same prompt.",{"type":42,"tag":1097,"props":5540,"children":5541},{},[],{"type":42,"tag":154,"props":5543,"children":5545},{"id":5544},"best-practices",[5546],{"type":48,"value":5547},"Best Practices",{"type":42,"tag":809,"props":5549,"children":5550},{},[5551,5561,5571],{"type":42,"tag":349,"props":5552,"children":5553},{},[5554,5559],{"type":42,"tag":60,"props":5555,"children":5556},{},[5557],{"type":48,"value":5558},"Front-load the hook.",{"type":48,"value":5560}," First 5s = 80% of retention.",{"type":42,"tag":349,"props":5562,"children":5563},{},[5564,5569],{"type":42,"tag":60,"props":5565,"children":5566},{},[5567],{"type":48,"value":5568},"One idea per video.",{"type":48,"value":5570}," Single-topic produces dramatically better results.",{"type":42,"tag":349,"props":5572,"children":5573},{},[5574,5579],{"type":42,"tag":60,"props":5575,"children":5576},{},[5577],{"type":48,"value":5578},"Write for the ear.",{"type":48,"value":5580}," If you wouldn't say it to a friend, rewrite it.",{"type":42,"tag":51,"props":5582,"children":5583},{},[5584,5585],{"type":48,"value":1556},{"type":42,"tag":60,"props":5586,"children":5587},{},[5588,5590],{"type":48,"value":5589},"Known issues → ",{"type":42,"tag":68,"props":5591,"children":5592},{"href":1002},[5593],{"type":48,"value":1002},{"type":42,"tag":5595,"props":5596,"children":5597},"style",{},[5598],{"type":48,"value":5599},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":5601,"total":5720},[5602,5620,5636,5648,5668,5690,5708],{"slug":5603,"name":5603,"fn":5604,"description":5605,"org":5606,"tags":5607,"stars":22,"repoUrl":23,"updatedAt":24},"accessibility-and-inclusive-visualization","make data visualizations accessible","Make data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5608,5611,5614,5617],{"name":5609,"slug":5610,"type":15},"Accessibility","accessibility",{"name":5612,"slug":5613,"type":15},"Charts","charts",{"name":5615,"slug":5616,"type":15},"Data Visualization","data-visualization",{"name":5618,"slug":5619,"type":15},"Design","design",{"slug":5621,"name":5621,"fn":5622,"description":5623,"org":5624,"tags":5625,"stars":22,"repoUrl":23,"updatedAt":5635},"agent-browser","automate browser interactions for agents","Browser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5626,5629,5632],{"name":5627,"slug":5628,"type":15},"Agents","agents",{"name":5630,"slug":5631,"type":15},"Browser Automation","browser-automation",{"name":5633,"slug":5634,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":5637,"name":5637,"fn":5638,"description":5639,"org":5640,"tags":5641,"stars":22,"repoUrl":23,"updatedAt":5647},"agent-browser-verify","verify dev server output with automated browser","Automated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass\u002Ffail before continuing.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5642,5643,5646],{"name":5630,"slug":5631,"type":15},{"name":5644,"slug":5645,"type":15},"Local Development","local-development",{"name":5633,"slug":5634,"type":15},"2026-04-06T18:41:17.526867",{"slug":5649,"name":5649,"fn":5650,"description":5651,"org":5652,"tags":5653,"stars":22,"repoUrl":23,"updatedAt":5667},"agents-sdk","build AI agents on Cloudflare Workers","Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5654,5655,5658,5661,5664],{"name":5627,"slug":5628,"type":15},{"name":5656,"slug":5657,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":5659,"slug":5660,"type":15},"SDK","sdk",{"name":5662,"slug":5663,"type":15},"Serverless","serverless",{"name":5665,"slug":5666,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":5669,"name":5669,"fn":5670,"description":5671,"org":5672,"tags":5673,"stars":22,"repoUrl":23,"updatedAt":5689},"ai-elements","build chat UIs with AI Elements","AI Elements component library guidance — pre-built React components for AI interfaces built on shadcn\u002Fui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5674,5677,5680,5683,5686],{"name":5675,"slug":5676,"type":15},"Frontend","frontend",{"name":5678,"slug":5679,"type":15},"React","react",{"name":5681,"slug":5682,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":5684,"slug":5685,"type":15},"UI Components","ui-components",{"name":5687,"slug":5688,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":5691,"name":5691,"fn":5692,"description":5693,"org":5694,"tags":5695,"stars":22,"repoUrl":23,"updatedAt":5707},"ai-gateway","configure Vercel AI Gateway","Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5696,5697,5700,5703,5706],{"name":17,"slug":18,"type":15},{"name":5698,"slug":5699,"type":15},"Cost Optimization","cost-optimization",{"name":5701,"slug":5702,"type":15},"LLM","llm",{"name":5704,"slug":5705,"type":15},"Performance","performance",{"name":5687,"slug":5688,"type":15},"2026-04-06T18:40:44.377464",{"slug":5709,"name":5709,"fn":5710,"description":5711,"org":5712,"tags":5713,"stars":22,"repoUrl":23,"updatedAt":5719},"ai-generation-persistence","implement persistence patterns for AI generations","AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5714,5715,5718],{"name":5698,"slug":5699,"type":15},{"name":5716,"slug":5717,"type":15},"Database","database",{"name":5701,"slug":5702,"type":15},"2026-04-06T18:41:08.513425",600,{"items":5722,"total":5917},[5723,5744,5767,5784,5800,5817,5836,5848,5862,5876,5888,5901],{"slug":5724,"name":5724,"fn":5725,"description":5726,"org":5727,"tags":5728,"stars":5741,"repoUrl":5742,"updatedAt":5743},"prior-auth-packet-builder","build healthcare prior authorization packets","Build a concise prior authorization packet from local case files and payer policy docs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5729,5732,5735,5738],{"name":5730,"slug":5731,"type":15},"Documents","documents",{"name":5733,"slug":5734,"type":15},"Healthcare","healthcare",{"name":5736,"slug":5737,"type":15},"Insurance","insurance",{"name":5739,"slug":5740,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-04-16T05:11:39.180399",{"slug":5745,"name":5745,"fn":5746,"description":5747,"org":5748,"tags":5749,"stars":5764,"repoUrl":5765,"updatedAt":5766},"aspnet-core","build ASP.NET Core web applications","Build, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development. Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5750,5753,5755,5758,5761],{"name":5751,"slug":5752,"type":15},".NET","dotnet",{"name":5754,"slug":5745,"type":15},"ASP.NET Core",{"name":5756,"slug":5757,"type":15},"Blazor","blazor",{"name":5759,"slug":5760,"type":15},"C#","csharp",{"name":5762,"slug":5763,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":5768,"name":5768,"fn":5769,"description":5770,"org":5771,"tags":5772,"stars":5764,"repoUrl":5765,"updatedAt":5783},"chatgpt-apps","build ChatGPT Apps SDK applications","Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5773,5776,5779,5782],{"name":5774,"slug":5775,"type":15},"Apps SDK","apps-sdk",{"name":5777,"slug":5778,"type":15},"ChatGPT","chatgpt",{"name":5780,"slug":5781,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":5785,"name":5785,"fn":5786,"description":5787,"org":5788,"tags":5789,"stars":5764,"repoUrl":5765,"updatedAt":5799},"cli-creator","build CLIs from API docs","Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read\u002Fwrite commands, return stable JSON, manage auth, and pair with a companion skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5790,5793,5796],{"name":5791,"slug":5792,"type":15},"API Development","api-development",{"name":5794,"slug":5795,"type":15},"CLI","cli",{"name":5797,"slug":5798,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":5801,"name":5801,"fn":5802,"description":5803,"org":5804,"tags":5805,"stars":5764,"repoUrl":5765,"updatedAt":5816},"cloudflare-deploy","deploy projects to Cloudflare","Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5806,5809,5812,5813],{"name":5807,"slug":5808,"type":15},"Cloudflare","cloudflare",{"name":5810,"slug":5811,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":5656,"slug":5657,"type":15},{"name":5814,"slug":5815,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":5818,"name":5818,"fn":5819,"description":5820,"org":5821,"tags":5822,"stars":5764,"repoUrl":5765,"updatedAt":5835},"define-goal","define and set measurable project goals","Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5823,5826,5829,5832],{"name":5824,"slug":5825,"type":15},"Productivity","productivity",{"name":5827,"slug":5828,"type":15},"Project Management","project-management",{"name":5830,"slug":5831,"type":15},"Strategy","strategy",{"name":5833,"slug":5834,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":5837,"name":5837,"fn":5838,"description":5839,"org":5840,"tags":5841,"stars":5764,"repoUrl":5765,"updatedAt":5847},"figma","translate Figma designs into code","Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5842,5843,5845,5846],{"name":5618,"slug":5619,"type":15},{"name":5844,"slug":5837,"type":15},"Figma",{"name":5675,"slug":5676,"type":15},{"name":5780,"slug":5781,"type":15},"2026-04-12T05:06:47.939943",{"slug":5849,"name":5849,"fn":5850,"description":5851,"org":5852,"tags":5853,"stars":5764,"repoUrl":5765,"updatedAt":5861},"figma-code-connect-components","connect Figma designs to code components","Connects Figma design components to code components using Code Connect mapping tools. Use when user says \"code connect\", \"connect this component to code\", \"map this component\", \"link component to code\", \"create code connect mapping\", or wants to establish mappings between Figma designs and code implementations. For canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5854,5855,5858,5859,5860],{"name":5618,"slug":5619,"type":15},{"name":5856,"slug":5857,"type":15},"Design System","design-system",{"name":5844,"slug":5837,"type":15},{"name":5675,"slug":5676,"type":15},{"name":5684,"slug":5685,"type":15},"2026-05-10T05:59:52.971881",{"slug":5863,"name":5863,"fn":5864,"description":5865,"org":5866,"tags":5867,"stars":5764,"repoUrl":5765,"updatedAt":5875},"figma-create-design-system-rules","generate design system rules from Figma","Generates custom design system rules for the user's codebase. Use when user says \"create design system rules\", \"generate rules for my project\", \"set up design rules\", \"customize design system guidelines\", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5868,5869,5870,5873,5874],{"name":5618,"slug":5619,"type":15},{"name":5856,"slug":5857,"type":15},{"name":5871,"slug":5872,"type":15},"Documentation","documentation",{"name":5844,"slug":5837,"type":15},{"name":5675,"slug":5676,"type":15},"2026-05-16T06:07:47.821474",{"slug":5877,"name":5877,"fn":5878,"description":5879,"org":5880,"tags":5881,"stars":5764,"repoUrl":5765,"updatedAt":5887},"figma-implement-design","translate Figma designs into application code","Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions \"implement design\", \"generate code\", \"implement component\", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5882,5883,5884,5885,5886],{"name":5618,"slug":5619,"type":15},{"name":5844,"slug":5837,"type":15},{"name":5675,"slug":5676,"type":15},{"name":5684,"slug":5685,"type":15},{"name":5762,"slug":5763,"type":15},"2026-05-16T06:07:40.583615",{"slug":5889,"name":5889,"fn":5890,"description":5891,"org":5892,"tags":5893,"stars":5764,"repoUrl":5765,"updatedAt":5900},"hatch-pet","create animated pets for Codex","Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5894,5897,5898,5899],{"name":5895,"slug":5896,"type":15},"Animation","animation",{"name":5797,"slug":5798,"type":15},{"name":13,"slug":14,"type":15},{"name":5618,"slug":5619,"type":15},"2026-05-02T05:31:48.48485",{"slug":5902,"name":5902,"fn":5903,"description":5904,"org":5905,"tags":5906,"stars":5764,"repoUrl":5765,"updatedAt":5916},"imagegen","generate and edit raster images","Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG\u002Fvector\u002Fcode-native assets, extending an established icon or logo system, or building the visual directly in HTML\u002FCSS\u002Fcanvas.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[5907,5908,5909,5912,5915],{"name":13,"slug":14,"type":15},{"name":5618,"slug":5619,"type":15},{"name":5910,"slug":5911,"type":15},"Image Generation","image-generation",{"name":5913,"slug":5914,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675]