[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-cdn-caching":3,"mdc-yk1tz5-key":36,"related-repo-openai-cdn-caching":3876,"related-org-openai-cdn-caching":3978},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":25,"repoUrl":26,"updatedAt":27,"license":28,"forks":29,"topics":30,"repo":31,"sourceUrl":34,"mdContent":35},"cdn-caching","debug Vercel CDN caching performance","Debug Vercel CDN caching — cache hit rate, stale content, revalidation behavior, ISR + PPR, per-request cache reasons (cacheReason), and costs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"openai","OpenAI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fopenai.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"Performance","performance","tag",{"name":17,"slug":18,"type":15},"Vercel","vercel",{"name":20,"slug":21,"type":15},"Caching","caching",{"name":23,"slug":24,"type":15},"Debugging","debugging",4888,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-08-28T15:09:46.317613",null,661,[],{"repoUrl":26,"stars":25,"forks":29,"topics":32,"description":33},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fvercel\u002Fskills\u002Fcdn-caching","---\nname: cdn-caching\ndescription: Debug Vercel CDN caching — cache hit rate, stale content, revalidation behavior, ISR + PPR, per-request cache reasons (cacheReason), and costs.\nmetadata:\n  priority: 6\n  docs:\n    - 'https:\u002F\u002Fvercel.com\u002Fdocs\u002Fcaching'\n    - 'https:\u002F\u002Fvercel.com\u002Fdocs\u002Fcaching\u002Fcdn-cache'\n    - 'https:\u002F\u002Fvercel.com\u002Fdocs\u002Fincremental-static-regeneration'\n    - 'https:\u002F\u002Fvercel.com\u002Fdocs\u002Fcli\u002Fmetrics'\n  bashPatterns:\n    - '\\bvercel\\s+cache\\s+(purge|invalidate|dangerously-delete)\\b'\n  promptSignals:\n    phrases:\n      - 'cache hit rate'\n      - 'isr cost'\n      - 'isr read units'\n      - 'isr write units'\n      - 'stale content'\n      - 'x-vercel-cache'\n      - 'cache reason'\n      - 'cacheReason'\n      - 'x-vercel-cache-reason'\n      - 'stale_time'\n      - 'stale_tag'\n      - 'stale_error'\n      - 'draft_mode'\n      - 'prerender_bypass'\n    allOf:\n      - [cache, debug]\n      - [stale, cache]\n      - [revalidation, count]\n      - [cache, reason]\n      - [why, stale]\n      - [why, bypass]\n      - [cache, miss]\n    anyOf:\n      - 'revalidate'\n      - 'prerender'\n      - 'invalidate'\n      - 'draft mode'\n      - 'crawler'\n      - 'cold cache'\n      - 'request collapsed'\n    minScore: 6\n---\n\n# Vercel Caching\n\nYou are an expert in understanding Vercel's caching infrastructure, and how the CDN Cache, ISR, and PPR work.\n\n## Core Knowledge\n\n- ISR (and PPR, a rendering strategy built on it) is a framework feature — Next.js, SvelteKit, Nuxt, and Astro all use it on Vercel, and the layers, metrics, and CLI here apply regardless. (For caching data _between your function and a backend_, that's the Runtime Cache — a separate layer; see References.)\n- **PPR (Partial Prerendering)** — a rendering strategy, _not_ a cache layer: the static shell lives in the **ISR cache** while a function renders the dynamic holes per request and streams them into the same response. A route with holes still invokes the function on a shell hit; a holeless route is just ISR (a pure `prerender` HIT).\n\n### How caching works\n\nVercel caches at multiple layers between the visitor and your backend. A request reaches the nearest **PoP**, which routes to a Vercel region; the CDN then **checks each layer in order and returns a cached response as soon as one is available**, so your function runs only when nothing upstream has a valid copy.\n\n#### Cache layers\n\n- **CDN cache** — regional, ephemeral. On a hit the region returns the response with no function call. Reads\u002Fwrites are **free**.\n- **ISR cache** — durable, in a single [Function region](https:\u002F\u002Fvercel.com\u002Fdocs\u002Ffunctions\u002Fconfiguring-functions\u002Fregion). On a CDN miss, Vercel reads here _before_ invoking your function (cache shielding), then replicates the result back to the CDN. Survives deploys for 31 days or until revalidated; reads\u002Fwrites are **billed in 8 KB units**.\n- **Function invocation** — runs only if neither cache has a valid copy. It may read the Runtime\u002Fdata cache (a separate layer; see References) and your backend, then Vercel stores the response in the ISR cache.\n- **Image cache** — optimized images, cached on the CDN after the first transform.\n- Purges propagate globally in ~300 ms.\n\n**Request collapsing**: when many requests hit the same uncached path at once, Vercel collapses them into one function invocation per region to protect the origin.\n\n#### Key concepts\n\n- **Cache hit rate** — share served from cache (`HIT`\u002F`STALE`\u002F`PRERENDER`) versus origin (`MISS`\u002F`REVALIDATED`). Measure it over _cacheable_ requests — exclude `BYPASS` and `(not set)` (redirects, errors, uncacheable methods), or they drag the ratio down for non-cache reasons. Low hit rate means more origin load and higher latency.\n- **Revalidation** — refreshing cached content. **Time-based** runs automatically after an interval; **on-demand** runs when you call an API. Both use stale-while-revalidate: visitors keep getting the cached version while the new one regenerates in the background.\n- **Invalidate vs. dangerously-delete** — two ways to clear content, with very different blast on hit rate:\n  - _Invalidate_ (`invalidateByTag`, Next.js `revalidateTag`\u002F`revalidatePath`) = stale-while-revalidate. Keeps serving stale while refreshing in the background → response shows `x-vercel-cache: STALE`.\n  - _Dangerously-delete_ (`dangerouslyDeleteByTag`, Next.js `updateTag` or a revalidate with no lifetime) = hard removal. The next request blocks in the **foreground** to regenerate → `x-vercel-cache: REVALIDATED`.\n- **Cache tags & blast radius** — tags group cached entries so one call can clear many. A coarse tag attached to thousands of paths has a large _blast radius_: a single write drops them all and the hit rate collapses until they re-warm. Prefer granular tags (`product-${id}`) plus a roll-up tag.\n- **Cache status** (`x-vercel-cache` response header) — the _outcome_:\n\n  | Value         | Meaning                                                          |\n  | ------------- | ---------------------------------------------------------------- |\n  | `HIT`         | Served from cache; no function ran                               |\n  | `MISS`        | Not cached; origin\u002Ffunction ran                                  |\n  | `STALE`       | Served stale while revalidating in background (SWR \u002F invalidate) |\n  | `PRERENDER`   | Served a prerendered ISR\u002FPPR shell                               |\n  | `REVALIDATED` | Foreground revalidation after a delete (or `Pragma: no-cache`)   |\n  | `BYPASS`      | Caching skipped (`no-store`, `private`, cookies, etc.)           |\n\n- **Cache reason** (`cacheReason`) — the finer _explanation_ of that outcome for a single request. The `cache_result` metric lumps all `MISS`es (and all `STALE`s) together; the reason is the only thing that tells them apart. Nine values, three per group:\n\n  | `cacheReason`      | Refines  | Meaning                                                                       |\n  | ------------------ | -------- | ----------------------------------------------------------------------------- |\n  | `cold`             | MISS     | Cache empty for this key\u002Fvariant (first request or evicted); the function ran |\n  | `collapsed`        | MISS     | Concurrent requests to one uncached path collapsed into a single invocation   |\n  | `error`            | MISS     | An error prevented serving from cache                                         |\n  | `draft_mode`       | → BYPASS | Next.js Draft Mode active — bypassed so editors see live content              |\n  | `prerender_bypass` | → BYPASS | Prerender-bypass cookie\u002Ftoken present                                         |\n  | `crawler`          | → BYPASS | SEO-crawler UA — full response served so bots index real content              |\n  | `stale_time`       | STALE    | Time-based `revalidate` interval elapsed; regenerating in background (SWR)     |\n  | `stale_tag`        | STALE    | Tag invalidated (`revalidateTag` \u002F `invalidateByTag`); regenerating           |\n  | `stale_error`      | STALE    | A revalidation attempt **failed**; serving the last-good copy (a bug signal)  |\n\n  A raw `MISS` with reason `draft_mode` \u002F `prerender_bypass` \u002F `crawler` is **displayed as `BYPASS`** (all usually expected). The three `stale_*` reasons separate a healthy time refresh (`stale_time`) from a broad-tag blast (`stale_tag`) from a failing regen (`stale_error`). Read `cacheReason` from `vercel logs` or the dashboard Logs \"Reason\" row — the `x-vercel-cache-reason` header is internal-only and not visible via `curl`.\n\n## Investigating cache issues\n\nReach for the Vercel CLI. `vercel metrics` gives aggregate numbers (requires [Observability Plus](https:\u002F\u002Fvercel.com\u002Fdocs\u002Fobservability\u002Fobservability-plus)); `vercel logs` shows per-request behavior.\n\nMetrics need to be queried by team and project (`-S \u003Cteam> -p \u003Cproject>`). Filter production with `-f \"environment eq 'production'\"` (there is no `--prod` flag). Run `vercel metrics schema \u003Cmetric>` to discover dimensions; use `-F json` for machine-readable output. With `-g`, remember **`--limit` is per time bucket** — omit `-g` when you need totals across the whole window.\n\n### Cache hit rate\n\nStart here for an overall picture of how well caching is working.\n\n**Step 1 — overall split.** Group `vercel.request.count` by `cache_result`. Treat `HIT`, `STALE`, and `PRERENDER` as cache-served; focus investigation on `MISS`. Exclude `BYPASS` and `(not set)` when computing a hit rate over _cacheable_ traffic (see [Debugging BYPASS traffic](#debugging-bypass-traffic)). `STALE` means stale-while-revalidate is working — dig into revalidation frequency in [Analyzing ISR costs](#analyzing-isr-costs), not here.\n\n```bash\nvercel metrics vercel.request.count -S \u003Cteam> -p \u003Cproject> \\\n  -f \"environment eq 'production'\" --group-by cache_result --since 24h\n```\n\n**Step 2 — where misses concentrate.** Split the `MISS` bucket (and optionally `STALE`) by `path_type`, then by `route` or `request_path`:\n\n```bash\nvercel metrics vercel.request.count -S \u003Cteam> -p \u003Cproject> \\\n  -f \"environment eq 'production' and cache_result eq 'MISS'\" \\\n  --group-by path_type --since 24h\n\nvercel metrics vercel.request.count -S \u003Cteam> -p \u003Cproject> \\\n  -f \"environment eq 'production' and cache_result eq 'MISS' and path_type eq 'prerender'\" \\\n  --group-by request_path --since 24h\n```\n\n**What to expect:** `prerender` routes (static shells, ISR pages) should show a high share of `HIT`\u002F`PRERENDER`. A `prerender` path with a disproportionate `MISS` count is your short list for per-path header inspection (`curl` above) and code review.\n\n`streaming_func` routes render dynamically by default, but you can still cache them with `Cache-Control` headers — matching requests are cached on the CDN. Each cache entry varies by `Vary` headers (cookies, RSC, etc.) as well as path and query parameters, so expect more cache keys and a lower hit rate than a fully static `prerender` route.\n\n### Analyzing ISR costs\n\nOnce you know hit rate, quantify ISR spend and whether revalidation — not traffic volume — is driving it.\n\n**Utilization vs. ISR billing.** **Utilization** is `vercel.request.count` — total request volume. **ISR cost** is billed separately in 8 KB units: `read_units` when the regional CDN misses and falls through to the ISR cache, and `write_units` on every revalidation\u002Fregeneration. The regional CDN shields ISR heavily — most requests never touch the ISR layer, so **read_units will be far below request count**. Do not compare read_units to write_units as a utilization check; focus on **write_units** (revalidation cost) and how they relate to total traffic.\n\n```bash\nvercel metrics vercel.request.count -S \u003Cteam> -p \u003Cproject> -a sum --since 24h\nvercel metrics vercel.isr_operation.write_units -S \u003Cteam> -p \u003Cproject> -a sum --since 24h\n```\n\n**Write utilization = cache serves ÷ ISR writes** — cached reads per regeneration.\n\n```bash\n# numerator: cache serves — sum the HIT + STALE + PRERENDER buckets\nvercel metrics vercel.request.count -S \u003Cteam> -p \u003Cproject> \\\n  -f \"environment eq 'production' and (cache_result eq 'HIT' or cache_result eq 'STALE')\" \\\n  --group-by route -a sum --since 24h\n# denominator: ISR writes\nvercel metrics vercel.isr_operation.write_units -S \u003Cteam> -p \u003Cproject> \\\n  -f \"environment eq 'production'\" --group-by route -a sum --since 24h\n```\n\nHigh is good; near or below ~1 means you regenerate about as fast as the page is read (wasted writes) → lengthen the revalidate interval or move time-based to on-demand tag revalidation.\n\n**Which routes revalidate most.** Break write units down by `route` and `request_path` to find paths that regenerate often relative to traffic:\n\n```bash\nvercel metrics vercel.isr_operation.write_units -S \u003Cteam> -p \u003Cproject> \\\n  -a sum --group-by route --since 24h\n\nvercel metrics vercel.isr_operation.write_units -S \u003Cteam> -p \u003Cproject> \\\n  -a sum --group-by request_path --since 24h\n```\n\n**Regeneration vs. serving.** Group write units by `path_type` — concentration in `background_func` confirms revalidation (not per-request dynamic work) is the cost driver.\n\n**Time-based vs. tag-based revalidation.** Time-based intervals regenerate on a schedule whether or not content changed — often inefficient. Tag-based on-demand revalidation is usually better, but an **overly broad tag** has a large blast radius: one invalidate drops every entry that carries it.\n\n- **Tag blast radius** — group write units by `cache_tags`. If many _unrelated_ routes show near-identical write counts, a shared hot tag is invalidating them in lockstep (e.g. every blog post rewriting at the same rate because they share one broad `blogPost` tag):\n\n```bash\nvercel metrics vercel.isr_operation.write_units -S \u003Cteam> -p \u003Cproject> \\\n  -a sum --group-by cache_tags --since 24h\n```\n\n- **What triggered revalidation** — group `vercel.request.count` by `triggering_tag` to see which tags fire most often (`triggering_tag` is on request count only, not ISR operation metrics. It is one of the tags that triggered the page to be stale):\n\n```bash\nvercel metrics vercel.request.count -S \u003Cteam> -p \u003Cproject> \\\n  -f \"triggering_tag ne null\" --group-by triggering_tag --since 24h\n```\n\nTags with a large blast radius that revalidate frequently are the usual root cause of high write_units. Prefer granular tags (`product-${id}`) and on-demand invalidation over short time-based intervals for event-driven content.\n\n**Confirm in code.** Metrics tell you _which_ tag is hot; the repo tells you _why_. Grep for the tag's invalidation call site — `revalidateTag(`, `invalidateByTag(`, `updateTag(`, `dangerouslyDeleteByTag(` — and read the trigger. A CMS webhook or a sync cron that invalidates a **broad** tag on every event (instead of a specific `${type}:${id}`) is the classic amplifier.\n\n### Debugging BYPASS traffic\n\nThe largest legitimate sources of `BYPASS` are **Draft Mode** and **SEO crawlers**. Draft Mode must bypass cache so editors see live content. SEO bots must receive the **full response** — especially on PPR routes where the static shell and dynamic holes are assembled at request time — so crawlers index what users actually see. That BYPASS is expected, not a misconfiguration.\n\nBefore tuning headers or revalidate intervals, confirm what's left after those two buckets:\n\n```bash\nvercel metrics vercel.request.count -S \u003Cteam> -p \u003Cproject> \\\n  -f \"cache_result eq 'BYPASS'\" --group-by bot_category --since 24h\n\nvercel metrics vercel.request.count -S \u003Cteam> -p \u003Cproject> \\\n  -f \"cache_result eq 'BYPASS'\" --group-by user_agent --since 24h\n\nvercel metrics vercel.request.count -S \u003Cteam> -p \u003Cproject> \\\n  -f \"cache_result eq 'BYPASS'\" --group-by request_method --since 24h\n```\n\nThe **Firewall\u002FWAF** with the `vercel-firewall` skill can be used to manage verified SEO crawlers, block abusive bots, and rate-limit junk traffic before it distorts your hit-rate picture.\n\n## Reducing ISR cost\n\n- **Prefer tag-based over time-based revalidation.** Replace short `revalidate` intervals with on-demand `revalidateTag` \u002F `invalidateByTag` when content changes — time-based regeneration runs whether or not anything changed. If using Cache Components, analyze `cacheLife` calls with the `next-cache-components` skill.\n- **Scope tags to specific IDs.** Invalidate `blogPost:\u003Cid>`, not a generic `blogPost`\u002F`page` tag — one broad invalidate regenerates everything that carries it.\n- Tune the revalidate interval where your framework declares it (Next.js `revalidate` \u002F `cacheLife`, SvelteKit `isr`, Nuxt `routeRules`, Astro). For Next.js Cache Components, see the `next-cache-components` skill.\n- Use `CDN-Cache-Control` headers to cache dynamic functions.\n\n### Inspect one path\n\n```bash\ncurl -sSI https:\u002F\u002F\u003Chost>\u002F\u003Cpath> | grep -iE 'x-vercel-cache|x-matched-path|cache-control|vary|age|set-cookie'\n```\n\nThis zero-dependency first reach shows the status (`x-vercel-cache`), the cache directives (`Cache-Control` \u002F `CDN-Cache-Control` \u002F `Vercel-CDN-Cache-Control`), and — crucially — **`x-matched-path`**, which reveals rewrites like `\u002Fprecomputed\u002Fexp~...\u002F...` that expose experiment\u002Fflag precomputation. `vary` flags personalization (RSC, cookies); `set-cookie` forces `BYPASS`. For a per-phase timing breakdown, `vercel httpstat \u002Fsome\u002Fpath` (CLI v48.9.0+; needs the `httpstat` tool installed) adds latency stats. A path that should cache but shows `MISS`\u002F`BYPASS` usually has `private`, `no-store`, `max-age=0`, a per-request input (cookies\u002Fheaders\u002F`searchParams`), or an uncacheable method (see FAQ).\n\n**Inspect one request.** When metrics or headers give you a request ID, pull the full log record:\n\n```bash\nvercel logs --request-id \u003Crequest-id> --json\n```\n\nUse `--json` so the agent can parse cache status, path, and timing fields programmatically.\n\n## FAQ\n\n- **What are prerender variant misses?** When a route uses a dynamic param, each distinct cache-key variant is prerendered and cached separately, so each variant misses on its first hit per region and low-traffic ones rarely stay warm. The most common modern cause is **feature-flag \u002F experiment precomputation** — middleware picks a variant per request (`\u002Fprecomputed\u002Fexp~...\u002F...` paths), and flags × routes × PPR segments multiply into thousands of ISR entries (also a middleware-invocation cost). Fix: collapse the variant matrix (retire finished experiments), or accept the cost.\n- **Does PPR avoid function invocations?** No — a PPR route has dynamic holes by definition, so the cached shell hit still runs the function to fill them. (A route with _no_ holes is just ISR and serves a pure `prerender` HIT — see Key concepts.)\n- **Why are there more function invocations than PPR requests?** PPR requests have a static shell and a dynamic function invocation. When the static shell needs to be regenerated, it incurs a function invocation on top of the dynamic function for the content.\n\n## Related skills\n\n- `vercel-firewall` — manage verified SEO crawlers, block abusive bots, and rate-limit junk BYPASS traffic.\n- `runtime-cache` — caching data _between your function and a backend_ (per-region key-value \u002F data cache). 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A different layer from the CDN\u002FISR caches; use it to cache an API response or query result inside a function.",{"type":92,"tag":118,"props":3751,"children":3752},{},[3753,3758,3760,3766,3767,3772,3773,3779,3780,3785],{"type":92,"tag":157,"props":3754,"children":3756},{"className":3755},[],[3757],{"type":98,"value":3259},{"type":98,"value":3759}," — Next.js ",{"type":92,"tag":157,"props":3761,"children":3763},{"className":3762},[],[3764],{"type":98,"value":3765},"use cache",{"type":98,"value":667},{"type":92,"tag":157,"props":3768,"children":3770},{"className":3769},[],[3771],{"type":98,"value":3251},{"type":98,"value":667},{"type":92,"tag":157,"props":3774,"children":3776},{"className":3775},[],[3777],{"type":98,"value":3778},"cacheTag",{"type":98,"value":1219},{"type":92,"tag":157,"props":3781,"children":3783},{"className":3782},[],[3784],{"type":98,"value":81},{"type":98,"value":3786}," tuning (one framework's ISR\u002FPPR controls).",{"type":92,"tag":107,"props":3788,"children":3790},{"id":3789},"references",[3791],{"type":98,"value":3792},"References:",{"type":92,"tag":114,"props":3794,"children":3795},{},[3796,3806,3816,3827,3838,3849,3859],{"type":92,"tag":118,"props":3797,"children":3798},{},[3799,3801],{"type":98,"value":3800},"Caching overview: ",{"type":92,"tag":227,"props":3802,"children":3804},{"href":41,"rel":3803},[231],[3805],{"type":98,"value":41},{"type":92,"tag":118,"props":3807,"children":3808},{},[3809,3811],{"type":98,"value":3810},"ISR: ",{"type":92,"tag":227,"props":3812,"children":3814},{"href":43,"rel":3813},[231],[3815],{"type":98,"value":43},{"type":92,"tag":118,"props":3817,"children":3818},{},[3819,3821],{"type":98,"value":3820},"Partial Prerendering (PPR): ",{"type":92,"tag":227,"props":3822,"children":3825},{"href":3823,"rel":3824},"https:\u002F\u002Fvercel.com\u002Fdocs\u002Fpartial-prerendering",[231],[3826],{"type":98,"value":3823},{"type":92,"tag":118,"props":3828,"children":3829},{},[3830,3832],{"type":98,"value":3831},"Cache-Control headers: ",{"type":92,"tag":227,"props":3833,"children":3836},{"href":3834,"rel":3835},"https:\u002F\u002Fvercel.com\u002Fdocs\u002Fcaching\u002Fcache-control-headers",[231],[3837],{"type":98,"value":3834},{"type":92,"tag":118,"props":3839,"children":3840},{},[3841,3843],{"type":98,"value":3842},"Diagnosing and fixing cache issues (full runbook): ",{"type":92,"tag":227,"props":3844,"children":3847},{"href":3845,"rel":3846},"https:\u002F\u002Fvercel.com\u002Fdocs\u002Fcaching\u002Fcdn-cache\u002Fdebug-cache-issues",[231],[3848],{"type":98,"value":3845},{"type":92,"tag":118,"props":3850,"children":3851},{},[3852,3854],{"type":98,"value":3853},"vercel metrics CLI: ",{"type":92,"tag":227,"props":3855,"children":3857},{"href":44,"rel":3856},[231],[3858],{"type":98,"value":44},{"type":92,"tag":118,"props":3860,"children":3861},{},[3862,3864],{"type":98,"value":3863},"vercel logs CLI: ",{"type":92,"tag":227,"props":3865,"children":3868},{"href":3866,"rel":3867},"https:\u002F\u002Fvercel.com\u002Fdocs\u002Fcli\u002Flogs",[231],[3869],{"type":98,"value":3866},{"type":92,"tag":3871,"props":3872,"children":3873},"style",{},[3874],{"type":98,"value":3875},"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":3877,"total":3977},[3878,3897,3913,3925,3940,3953,3965],{"slug":3879,"name":3879,"fn":3880,"description":3881,"org":3882,"tags":3883,"stars":25,"repoUrl":26,"updatedAt":3896},"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},[3884,3887,3890,3893],{"name":3885,"slug":3886,"type":15},"Accessibility","accessibility",{"name":3888,"slug":3889,"type":15},"Charts","charts",{"name":3891,"slug":3892,"type":15},"Data Visualization","data-visualization",{"name":3894,"slug":3895,"type":15},"Design","design","2026-06-30T19:00:57.102",{"slug":3898,"name":3898,"fn":3899,"description":3900,"org":3901,"tags":3902,"stars":25,"repoUrl":26,"updatedAt":3912},"adobe-batch-edit-photos","apply consistent photo adjustments","Apply consistent photo adjustments across a set of images so they look like they were edited together. Use this skill whenever the user says \"make my photos look cohesive\", \"give all these the same style\", \"apply a warm and golden feel to all of these\", \"make this cinematic\", \"match the look across my photos\", \"edit all my travel photos the same way\", \"batch edit these\", \"make these consistent\", \"fix my phone photos\", or uploads a folder of photos and wants a unified, polished result. Also triggers for requests like \"apply a preset to all of these\", \"make these look professional\", or \"they were shot in mixed lighting — can you fix them all\". Outputs direct final image URLs plus an in-chat preview grid and optional Firefly Board link. Access: 🔐 Signed-In required | Gen AI: ❌\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3903,3906,3909],{"name":3904,"slug":3905,"type":15},"Creative","creative",{"name":3907,"slug":3908,"type":15},"Editing","editing",{"name":3910,"slug":3911,"type":15},"Imaging","imaging","2026-08-28T15:09:11.185865",{"slug":3914,"name":3914,"fn":3915,"description":3916,"org":3917,"tags":3918,"stars":25,"repoUrl":26,"updatedAt":3924},"adobe-create-mockups","create product and scene mockups","Use when a user wants to see their logo, design, or sketch on a product or scene mockup — mugs, t-shirts, business cards, hats, phone screens, posters, billboards, or similar. Triggers on \"create mockups\", \"show my logo on products\", or any logo upload with a request to visualize it on items. Access: 🔐 Signed-In required | Gen AI: ✅ Adobe Firefly via `image_generate` used for design creation, sketch polishing, and mockup scene generation\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3919,3920,3921],{"name":3904,"slug":3905,"type":15},{"name":3894,"slug":3895,"type":15},{"name":3922,"slug":3923,"type":15},"Graphics","graphics","2026-08-28T15:09:07.42507",{"slug":3926,"name":3926,"fn":3927,"description":3928,"org":3929,"tags":3930,"stars":25,"repoUrl":26,"updatedAt":3939},"adobe-create-social-variations","export platform-ready social media assets","Resize, crop, or export any image or video into platform-ready social media assets using Adobe Creative Cloud tools. Use this skill when a user wants to prepare a photo, image, or video for one or more social platforms — Instagram, TikTok, LinkedIn, Facebook, YouTube, Snapchat, Pinterest, Threads, or X\u002FTwitter. Triggers on: \"prepare my image for Instagram\", \"resize for TikTok\", \"get this ready to post\", \"make versions for all platforms\", \"social media sizes\", \"crop for stories\", \"export for LinkedIn\", \"resize my video for social\", \"make social media assets\", or any request to adapt a photo or video for specific platforms. Handles subject-aware cropping, AI canvas expansion, test previews before full runs, and same-ratio video resizing.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3931,3932,3933,3936],{"name":3904,"slug":3905,"type":15},{"name":3922,"slug":3923,"type":15},{"name":3934,"slug":3935,"type":15},"Marketing","marketing",{"name":3937,"slug":3938,"type":15},"Social Media","social-media","2026-08-28T15:10:07.282096",{"slug":3941,"name":3941,"fn":3942,"description":3943,"org":3944,"tags":3945,"stars":25,"repoUrl":26,"updatedAt":3952},"adobe-design-from-template","create visual designs from templates","Create any visual design using Adobe Express templates — flyers, posters, social media posts (Instagram, Facebook, LinkedIn), business cards, invitations, greeting cards, resumes, cover letters, brochures, newsletters, certificates, presentations, YouTube thumbnails, email headers, logos, menus, and labels. Use this skill whenever the user wants to make, design, or build any visual — even if they just say \"make me a flyer\", \"design a poster\", \"I need something for Instagram\", \"create an event invite\", or \"make a business card\". Also handles browsing templates, editing text, replacing images, changing backgrounds, animating, and exporting designs. Access: 🔐 Signed-In required | Gen AI: ❌ by default — image replacement only where the surface permits generative AI (e.g. Codex); none on Claude\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3946,3947,3948,3949],{"name":3904,"slug":3905,"type":15},{"name":3894,"slug":3895,"type":15},{"name":3922,"slug":3923,"type":15},{"name":3950,"slug":3951,"type":15},"Templates","templates","2026-08-28T15:10:03.050113",{"slug":3954,"name":3954,"fn":3955,"description":3956,"org":3957,"tags":3958,"stars":25,"repoUrl":26,"updatedAt":3964},"adobe-edit-quick-cut","create video sizzle reels","Create a punchy sizzle reel from a video using Adobe Quick Cut. Use this skill whenever a user wants to cut, trim, or shorten a video into highlights — including phrases like \"make a sizzle reel\", \"make a highlight reel\", \"quick cut this\", \"cut the best parts\", \"shorten this video\", \"make a highlight clip\", \"summarize this video visually\", or any request to produce a shorter edited version of a video. Use this skill for Quick Cut requests before suggesting manual editing in Premiere. Requires the user to upload a video file.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3959,3960,3961],{"name":3904,"slug":3905,"type":15},{"name":3907,"slug":3908,"type":15},{"name":3962,"slug":3963,"type":15},"Video","video","2026-08-28T15:09:07.765245",{"slug":3966,"name":3966,"fn":3967,"description":3968,"org":3969,"tags":3970,"stars":25,"repoUrl":26,"updatedAt":3976},"adobe-retouch-portraits","batch retouch portrait photos","Bulk-retouch a folder of portrait photos using Adobe tools — designed for wedding photographers and event photographers who need fast, walk-away batch processing. Use this skill when the user says \"retouch my photos\", \"batch process these portraits\", \"process my wedding photos\", \"clean up this folder of images\", \"run my headshots through Adobe\", or uploads\u002Fselects a folder of photos and wants them polished and ready to review. Automatically applies auto-straighten, auto-tone, and auto-light to every image. Outputs a preview grid and download folder. Access: 🔐 Signed-In required | Gen AI: ❌ by default — optional background-only cleanup only where the surface permits generative AI (e.g. Codex); none on Claude\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3971,3972,3973],{"name":3904,"slug":3905,"type":15},{"name":3910,"slug":3911,"type":15},{"name":3974,"slug":3975,"type":15},"Photography","photography","2026-08-28T15:09:10.386974",499,{"items":3979,"total":4180},[3980,4001,4024,4041,4057,4076,4095,4109,4125,4139,4151,4164],{"slug":3981,"name":3981,"fn":3982,"description":3983,"org":3984,"tags":3985,"stars":3998,"repoUrl":3999,"updatedAt":4000},"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},[3986,3989,3992,3995],{"name":3987,"slug":3988,"type":15},"Documents","documents",{"name":3990,"slug":3991,"type":15},"Healthcare","healthcare",{"name":3993,"slug":3994,"type":15},"Insurance","insurance",{"name":3996,"slug":3997,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-08-02T05:48:07.395855",{"slug":4002,"name":4002,"fn":4003,"description":4004,"org":4005,"tags":4006,"stars":4021,"repoUrl":4022,"updatedAt":4023},"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},[4007,4010,4012,4015,4018],{"name":4008,"slug":4009,"type":15},".NET","dotnet",{"name":4011,"slug":4002,"type":15},"ASP.NET Core",{"name":4013,"slug":4014,"type":15},"Blazor","blazor",{"name":4016,"slug":4017,"type":15},"C#","csharp",{"name":4019,"slug":4020,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":4025,"name":4025,"fn":4026,"description":4027,"org":4028,"tags":4029,"stars":4021,"repoUrl":4022,"updatedAt":4040},"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},[4030,4033,4036,4039],{"name":4031,"slug":4032,"type":15},"Apps SDK","apps-sdk",{"name":4034,"slug":4035,"type":15},"ChatGPT","chatgpt",{"name":4037,"slug":4038,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":4042,"name":4042,"fn":4043,"description":4044,"org":4045,"tags":4046,"stars":4021,"repoUrl":4022,"updatedAt":4056},"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},[4047,4050,4053],{"name":4048,"slug":4049,"type":15},"API Development","api-development",{"name":4051,"slug":4052,"type":15},"CLI","cli",{"name":4054,"slug":4055,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":4058,"name":4058,"fn":4059,"description":4060,"org":4061,"tags":4062,"stars":4021,"repoUrl":4022,"updatedAt":4075},"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},[4063,4066,4069,4072],{"name":4064,"slug":4065,"type":15},"Cloudflare","cloudflare",{"name":4067,"slug":4068,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":4070,"slug":4071,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":4073,"slug":4074,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":4077,"name":4077,"fn":4078,"description":4079,"org":4080,"tags":4081,"stars":4021,"repoUrl":4022,"updatedAt":4094},"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},[4082,4085,4088,4091],{"name":4083,"slug":4084,"type":15},"Productivity","productivity",{"name":4086,"slug":4087,"type":15},"Project Management","project-management",{"name":4089,"slug":4090,"type":15},"Strategy","strategy",{"name":4092,"slug":4093,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":4096,"name":4096,"fn":4097,"description":4098,"org":4099,"tags":4100,"stars":4021,"repoUrl":4022,"updatedAt":4108},"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},[4101,4102,4104,4107],{"name":3894,"slug":3895,"type":15},{"name":4103,"slug":4096,"type":15},"Figma",{"name":4105,"slug":4106,"type":15},"Frontend","frontend",{"name":4037,"slug":4038,"type":15},"2026-04-12T05:06:47.939943",{"slug":4110,"name":4110,"fn":4111,"description":4112,"org":4113,"tags":4114,"stars":4021,"repoUrl":4022,"updatedAt":4124},"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},[4115,4116,4119,4120,4121],{"name":3894,"slug":3895,"type":15},{"name":4117,"slug":4118,"type":15},"Design System","design-system",{"name":4103,"slug":4096,"type":15},{"name":4105,"slug":4106,"type":15},{"name":4122,"slug":4123,"type":15},"UI Components","ui-components","2026-05-10T05:59:52.971881",{"slug":4126,"name":4126,"fn":4127,"description":4128,"org":4129,"tags":4130,"stars":4021,"repoUrl":4022,"updatedAt":4138},"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},[4131,4132,4133,4136,4137],{"name":3894,"slug":3895,"type":15},{"name":4117,"slug":4118,"type":15},{"name":4134,"slug":4135,"type":15},"Documentation","documentation",{"name":4103,"slug":4096,"type":15},{"name":4105,"slug":4106,"type":15},"2026-05-16T06:07:47.821474",{"slug":4140,"name":4140,"fn":4141,"description":4142,"org":4143,"tags":4144,"stars":4021,"repoUrl":4022,"updatedAt":4150},"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},[4145,4146,4147,4148,4149],{"name":3894,"slug":3895,"type":15},{"name":4103,"slug":4096,"type":15},{"name":4105,"slug":4106,"type":15},{"name":4122,"slug":4123,"type":15},{"name":4019,"slug":4020,"type":15},"2026-05-16T06:07:40.583615",{"slug":4152,"name":4152,"fn":4153,"description":4154,"org":4155,"tags":4156,"stars":4021,"repoUrl":4022,"updatedAt":4163},"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},[4157,4160,4161,4162],{"name":4158,"slug":4159,"type":15},"Animation","animation",{"name":4054,"slug":4055,"type":15},{"name":3904,"slug":3905,"type":15},{"name":3894,"slug":3895,"type":15},"2026-05-02T05:31:48.48485",{"slug":4165,"name":4165,"fn":4166,"description":4167,"org":4168,"tags":4169,"stars":4021,"repoUrl":4022,"updatedAt":4179},"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},[4170,4171,4172,4175,4178],{"name":3904,"slug":3905,"type":15},{"name":3894,"slug":3895,"type":15},{"name":4173,"slug":4174,"type":15},"Image Generation","image-generation",{"name":4176,"slug":4177,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",578]