[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"org-letta":3,"repo-skills-v-0-3-0":145},{"org":4,"repos":57},{"slug":5,"name":6,"logoUrl":7,"githubOrg":8,"website":9,"skillCount":10,"repoCount":11,"topRepos":12,"topTags":25,"lastUpdatedAt":56},"letta","Letta","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fletta.png","letta-ai","https:\u002F\u002Fwww.letta.com",69,4,[13,16,19,22],{"name":14,"skillCount":15},"letta-ai\u002Fskills",45,{"name":17,"skillCount":18},"letta-ai\u002Fletta-code",19,{"name":20,"skillCount":21},"letta-ai\u002Fsocial-cli",3,{"name":23,"skillCount":24},"letta-ai\u002Fletta-code-action",2,[26,29,32,35,38,41,44,47,50,53],{"slug":27,"name":28},"agents","Agents",{"slug":30,"name":31},"cli","CLI",{"slug":33,"name":34},"automation","Automation",{"slug":36,"name":37},"memory","Memory",{"slug":39,"name":40},"engineering","Engineering",{"slug":42,"name":43},"messaging","Messaging",{"slug":45,"name":46},"api-development","API Development",{"slug":48,"name":49},"desktop","Desktop",{"slug":51,"name":52},"knowledge-management","Knowledge Management",{"slug":54,"name":55},"search","Search","2026-07-29T06:00:29.688356",[58,74,100,119],{"name":59,"fullName":14,"repoUrl":60,"skillCount":15,"stars":61,"forks":62,"description":63,"topics":64,"topTags":65,"topTagCount":72,"lastUpdatedAt":73},"skills","https:\u002F\u002Fgithub.com\u002Fletta-ai\u002Fskills",127,20,"A shared repository for skills. Intended to be used with Letta Code, Claude Code, Codex CLI, and other agents that support skills.",[],[66,67,68,69,70,71],{"slug":30,"name":31},{"slug":27,"name":28},{"slug":45,"name":46},{"slug":33,"name":34},{"slug":42,"name":43},{"slug":54,"name":55},92,"2026-07-16T06:02:20.640859",{"name":75,"fullName":17,"repoUrl":76,"skillCount":18,"stars":77,"forks":78,"description":79,"topics":80,"topTags":88,"topTagCount":99,"lastUpdatedAt":56},"letta-code","https:\u002F\u002Fgithub.com\u002Fletta-ai\u002Fletta-code",2831,329,"Stateful agents that are like people, with memory, identity, and the ability to learn and adapt",[81,82,83,84,85,5,86,87],"agent-memory","ai","claude","codex","continual-learning","memgpt","stateful-agents",[89,90,91,92,95,96],{"slug":27,"name":28},{"slug":33,"name":34},{"slug":36,"name":37},{"slug":93,"name":94},"ai-context","AI Context",{"slug":30,"name":31},{"slug":97,"name":98},"coding","Coding",27,{"name":101,"fullName":20,"repoUrl":102,"skillCount":21,"stars":103,"forks":24,"description":104,"topics":105,"topTags":106,"topTagCount":117,"lastUpdatedAt":118},"social-cli","https:\u002F\u002Fgithub.com\u002Fletta-ai\u002Fsocial-cli",24,"A unified CLI to connect artificial intelligence to the social web.",[],[107,108,109,110,113,116],{"slug":27,"name":28},{"slug":33,"name":34},{"slug":30,"name":31},{"slug":111,"name":112},"communications","Communications",{"slug":114,"name":115},"content-creation","Content Creation",{"slug":51,"name":52},10,"2026-07-13T06:26:10.207538",{"name":120,"fullName":23,"repoUrl":121,"skillCount":24,"stars":122,"forks":123,"description":124,"topics":125,"topTags":126,"topTagCount":143,"lastUpdatedAt":144},"letta-code-action","https:\u002F\u002Fgithub.com\u002Fletta-ai\u002Fletta-code-action",14,5,"Integrate Letta Code into your GitHub repo to review issues, code, and more",[],[127,128,131,134,137,140],{"slug":39,"name":40},{"slug":129,"name":130},"ci-cd","CI\u002FCD",{"slug":132,"name":133},"code-review","Code Review",{"slug":135,"name":136},"github","GitHub",{"slug":138,"name":139},"github-actions","GitHub Actions",{"slug":141,"name":142},"pull-requests","Pull Requests",6,"2026-07-13T06:26:13.20349",{"items":146,"total":15},[147,162,175,192,203,224,234,253,271,286,297,323,338,350,366,382,396,409,421,435,448,463,473,483],{"slug":148,"name":148,"fn":149,"description":150,"org":151,"tags":152,"stars":61,"repoUrl":60,"updatedAt":161},"1password","manage secrets with 1Password CLI","Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading\u002Finjecting\u002Frunning secrets via op.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[153,157,158],{"name":154,"slug":155,"type":156},"Authentication","authentication","tag",{"name":31,"slug":30,"type":156},{"name":159,"slug":160,"type":156},"Security","security","2026-07-13T06:24:39.504387",{"slug":163,"name":163,"fn":164,"description":165,"org":166,"tags":167,"stars":61,"repoUrl":60,"updatedAt":174},"agent-slack","automate Slack messaging and workflows","Slack automation CLI — read\u002Fsend\u002Fsearch messages, browse threads and channels, manage channels, download attachments, look up users, and run workflows.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[168,169,170,171],{"name":34,"slug":33,"type":156},{"name":31,"slug":30,"type":156},{"name":43,"slug":42,"type":156},{"name":172,"slug":173,"type":156},"Slack","slack","2026-07-13T06:23:51.908511",{"slug":176,"name":176,"fn":177,"description":178,"org":179,"tags":180,"stars":61,"repoUrl":60,"updatedAt":191},"ai-news","fetch and summarize AI news","Fetch and summarize recent AI news from curated RSS feeds (Hugging Face, VentureBeat, The Verge, OpenAI, Anthropic, DeepMind, etc.) and YouTube channels (Yannic Kilcher, Two Minute Papers, AI Explained, etc.). Also fetches full transcripts for specific YouTube videos. Use when the user asks about recent AI news, what's happened in AI lately, summaries of AI research or product announcements, or wants a digest of what's going on in the AI space.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[181,182,185,188],{"name":112,"slug":111,"type":156},{"name":183,"slug":184,"type":156},"LLM","llm",{"name":186,"slug":187,"type":156},"Research","research",{"name":189,"slug":190,"type":156},"Summarization","summarization","2026-07-13T06:24:20.520223",{"slug":193,"name":193,"fn":194,"description":195,"org":196,"tags":197,"stars":61,"repoUrl":60,"updatedAt":202},"creating-letta-code-channels","build and debug Letta Code channels","Builds and debugs Letta Code channels, including first-party channel adapters and dynamic user channel plugins under ~\u002F.letta\u002Fchannels. Use when adding Telegram, WhatsApp, Bluesky, Slack, Discord, or custom channel support; testing channel routing, pairing, MessageChannel, runtime dependencies, or channel plugin manifests.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[198,199,200,201],{"name":28,"slug":27,"type":156},{"name":46,"slug":45,"type":156},{"name":43,"slug":42,"type":156},{"name":172,"slug":173,"type":156},"2026-07-13T06:25:55.843495",{"slug":204,"name":204,"fn":205,"description":206,"org":207,"tags":208,"stars":61,"repoUrl":60,"updatedAt":223},"datadog","query Datadog observability data","Query Datadog observability data (logs, metrics, monitors, dashboards, hosts) via direct API. Use when investigating production issues, checking monitors, searching logs, or accessing Datadog data.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[209,211,214,217,220],{"name":210,"slug":204,"type":156},"Datadog",{"name":212,"slug":213,"type":156},"Logs","logs",{"name":215,"slug":216,"type":156},"Metrics","metrics",{"name":218,"slug":219,"type":156},"Monitoring","monitoring",{"name":221,"slug":222,"type":156},"Observability","observability","2026-07-13T06:24:27.990605",{"slug":225,"name":225,"fn":226,"description":227,"org":228,"tags":229,"stars":61,"repoUrl":60,"updatedAt":233},"discord","automate Discord server and channel tasks","Discord automation CLI — send\u002Fread\u002Fsearch messages, manage channels and servers, react, create threads, pin messages, and look up users.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[230,231,232],{"name":34,"slug":33,"type":156},{"name":31,"slug":30,"type":156},{"name":43,"slug":42,"type":156},"2026-07-13T06:24:26.62387",{"slug":235,"name":235,"fn":236,"description":237,"org":238,"tags":239,"stars":61,"repoUrl":60,"updatedAt":252},"doc","create and edit Word documents","Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts\u002Frender_docx.py` for visual checks.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[240,243,246,249],{"name":241,"slug":242,"type":156},"Documents","documents",{"name":244,"slug":245,"type":156},"DOCX","docx",{"name":247,"slug":248,"type":156},"Office","office",{"name":250,"slug":251,"type":156},"Word","word","2026-07-13T06:23:44.299568",{"slug":254,"name":254,"fn":255,"description":256,"org":257,"tags":258,"stars":61,"repoUrl":60,"updatedAt":270},"figma","fetch and translate Figma design assets","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":5,"name":6,"logoUrl":7,"githubOrg":8},[259,262,264,267],{"name":260,"slug":261,"type":156},"Design","design",{"name":263,"slug":254,"type":156},"Figma",{"name":265,"slug":266,"type":156},"Frontend","frontend",{"name":268,"slug":269,"type":156},"MCP","mcp","2026-07-16T06:02:17.995222",{"slug":272,"name":272,"fn":273,"description":274,"org":275,"tags":276,"stars":61,"repoUrl":60,"updatedAt":285},"frontend-skill","build visually strong frontend applications","Use when the task asks for a visually strong landing page, website, app, prototype, demo, or game UI. This skill enforces restrained composition, image-led hierarchy, cohesive content structure, and tasteful motion while avoiding generic cards, weak branding, and UI clutter.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[277,278,279,282],{"name":260,"slug":261,"type":156},{"name":265,"slug":266,"type":156},{"name":280,"slug":281,"type":156},"Prototyping","prototyping",{"name":283,"slug":284,"type":156},"Web Development","web-development","2026-07-13T06:25:03.271852",{"slug":135,"name":135,"fn":287,"description":288,"org":289,"tags":290,"stars":61,"repoUrl":60,"updatedAt":296},"perform GitHub operations via CLI","GitHub operations via `gh` CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating\u002Fcommenting on issues, (3) listing\u002Ffiltering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available), bulk operations across many repos (script with gh api), or when gh auth is not configured.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[291,292,293,294,295],{"name":31,"slug":30,"type":156},{"name":133,"slug":132,"type":156},{"name":40,"slug":39,"type":156},{"name":136,"slug":135,"type":156},{"name":142,"slug":141,"type":156},"2026-07-13T06:24:13.767129",{"slug":298,"name":298,"fn":299,"description":300,"org":301,"tags":302,"stars":61,"repoUrl":60,"updatedAt":322},"gog","manage Google Workspace via CLI","Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[303,304,307,310,313,316,319],{"name":31,"slug":30,"type":156},{"name":305,"slug":306,"type":156},"Gmail","gmail",{"name":308,"slug":309,"type":156},"Google Calendar","google-calendar",{"name":311,"slug":312,"type":156},"Google Docs","google-docs",{"name":314,"slug":315,"type":156},"Google Drive","google-drive",{"name":317,"slug":318,"type":156},"Google Sheets","google-sheets",{"name":320,"slug":321,"type":156},"Google Workspace","google-workspace","2026-07-13T06:23:49.339036",{"slug":324,"name":324,"fn":325,"description":326,"org":327,"tags":328,"stars":61,"repoUrl":60,"updatedAt":337},"importing-chatgpt-memory","import ChatGPT memory into Letta","Clone ChatGPT saved memory into Letta, then optionally enrich it with broader conversation history. Designed for a slick onboarding flow that extracts hidden saved-memory\u002Fcontext blocks, builds Letta-ready previews, and only asks questions at meaningful checkpoints.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[329,330,333,334],{"name":28,"slug":27,"type":156},{"name":331,"slug":332,"type":156},"ChatGPT","chatgpt",{"name":37,"slug":36,"type":156},{"name":335,"slug":336,"type":156},"Onboarding","onboarding","2026-07-13T06:25:50.705109",{"slug":339,"name":339,"fn":340,"description":341,"org":342,"tags":343,"stars":61,"repoUrl":60,"updatedAt":349},"imsg","send and manage iMessage conversations","iMessage\u002FSMS CLI for listing chats, history, and sending messages via Messages.app.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[344,345,348],{"name":31,"slug":30,"type":156},{"name":346,"slug":347,"type":156},"iMessage","imessage",{"name":43,"slug":42,"type":156},"2026-07-13T06:23:50.613016",{"slug":351,"name":351,"fn":352,"description":353,"org":354,"tags":355,"stars":61,"repoUrl":60,"updatedAt":365},"jupyter-notebook","create and edit Jupyter notebooks","Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[356,359,362],{"name":357,"slug":358,"type":156},"Data Analysis","data-analysis",{"name":360,"slug":361,"type":156},"Jupyter","jupyter",{"name":363,"slug":364,"type":156},"Notebooks","notebooks","2026-07-13T06:25:16.23541",{"slug":367,"name":367,"fn":368,"description":369,"org":370,"tags":371,"stars":61,"repoUrl":60,"updatedAt":381},"letta-api-client","build applications with Letta API","Build applications with the Letta API — a model-agnostic, stateful API for building persistent agents with memory and long-term learning. Covers SDK patterns for Python and TypeScript. Includes 24 working code examples.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[372,373,374,375,378],{"name":28,"slug":27,"type":156},{"name":46,"slug":45,"type":156},{"name":37,"slug":36,"type":156},{"name":376,"slug":377,"type":156},"Python","python",{"name":379,"slug":380,"type":156},"TypeScript","typescript","2026-07-13T06:25:28.958647",{"slug":383,"name":383,"fn":384,"description":385,"org":386,"tags":387,"stars":61,"repoUrl":60,"updatedAt":395},"letta-configuration","configure LLM models for Letta","Configure LLM models and providers for Letta agents and servers. Use when setting model handles, adjusting temperature\u002Ftokens, configuring provider-specific settings, setting up BYOK providers, or configuring self-hosted deployments with environment variables.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[388,391,394],{"name":389,"slug":390,"type":156},"AI Infrastructure","ai-infrastructure",{"name":392,"slug":393,"type":156},"Configuration","configuration",{"name":183,"slug":184,"type":156},"2026-07-13T06:25:44.157093",{"slug":397,"name":398,"fn":399,"description":400,"org":401,"tags":402,"stars":61,"repoUrl":60,"updatedAt":408},"letta-conversations-api","Letta Conversations API","manage isolated agent conversation threads","Guide for using the Letta Conversations API to manage isolated message threads on agents. Use when building multi-user chat applications, session management, or any scenario requiring separate conversation contexts on a single agent.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[403,404,405],{"name":28,"slug":27,"type":156},{"name":46,"slug":45,"type":156},{"name":406,"slug":407,"type":156},"Sessions","sessions","2026-07-13T06:25:24.277437",{"slug":410,"name":410,"fn":411,"description":412,"org":413,"tags":414,"stars":61,"repoUrl":60,"updatedAt":420},"letta-development-guide","develop and troubleshoot Letta agents","Comprehensive guide for developing Letta agents, including architecture selection, memory design, model selection, and tool configuration. Use when building or troubleshooting Letta agents.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[415,416,419],{"name":28,"slug":27,"type":156},{"name":417,"slug":418,"type":156},"Architecture","architecture",{"name":37,"slug":36,"type":156},"2026-07-13T06:25:35.232517",{"slug":422,"name":422,"fn":423,"description":424,"org":425,"tags":426,"stars":61,"repoUrl":60,"updatedAt":434},"letta-filesystem-to-memfs","migrate files to MemFS","Migrates deprecated Letta Filesystem folders\u002Ffiles to MemFS using markdown document corpora, chunking, local lexical search, and QMD semantic search via the memfs-search skill. Use when replacing folders.files.upload, working with PDFs or document QA, or emulating open_file, grep_file, and search_file behavior.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[427,430,433],{"name":428,"slug":429,"type":156},"Data Engineering","data-engineering",{"name":431,"slug":432,"type":156},"Migration","migration",{"name":55,"slug":54,"type":156},"2026-07-13T06:25:52.385243",{"slug":436,"name":436,"fn":437,"description":438,"org":439,"tags":440,"stars":61,"repoUrl":60,"updatedAt":447},"letta-fleet-management","manage Letta AI agent fleets","Manage Letta AI agent fleets declaratively with kubectl-style CLI. Use when creating, updating, or managing multiple Letta agents with shared configurations, memory blocks, tools, folders, canary deployments, multi-tenancy, and bulk operations.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[441,442,443,444],{"name":28,"slug":27,"type":156},{"name":34,"slug":33,"type":156},{"name":31,"slug":30,"type":156},{"name":445,"slug":446,"type":156},"Deployment","deployment","2026-07-13T06:25:30.280693",{"slug":449,"name":449,"fn":450,"description":451,"org":452,"tags":453,"stars":61,"repoUrl":60,"updatedAt":462},"linear-cli","manage Linear issues via CLI","Manage Linear issues from the command line using the linear cli. This skill allows automating linear management.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[454,455,456,459],{"name":34,"slug":33,"type":156},{"name":31,"slug":30,"type":156},{"name":457,"slug":458,"type":156},"Linear","linear",{"name":460,"slug":461,"type":156},"Task Management","task-management","2026-07-13T06:24:19.223928",{"slug":464,"name":464,"fn":465,"description":466,"org":467,"tags":468,"stars":61,"repoUrl":60,"updatedAt":472},"mcp-builder","build MCP servers for external services","Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node\u002FTypeScript (MCP SDK).",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[469,470,471],{"name":46,"slug":45,"type":156},{"name":40,"slug":39,"type":156},{"name":268,"slug":269,"type":156},"2026-07-13T06:24:58.503867",{"slug":474,"name":474,"fn":475,"description":476,"org":477,"tags":478,"stars":61,"repoUrl":60,"updatedAt":482},"memfs-search","perform semantic search over agent memory","Semantic search over agent memory files. Use when you need to find conceptually related memory blocks, discover forgotten reference files, check what you already know before creating new memory, or search beyond exact keyword matching. Currently supports QMD (local, no API keys).",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[479,480,481],{"name":52,"slug":51,"type":156},{"name":37,"slug":36,"type":156},{"name":55,"slug":54,"type":156},"2026-07-13T06:25:01.804158",{"slug":484,"name":484,"fn":485,"description":486,"org":487,"tags":488,"stars":61,"repoUrl":60,"updatedAt":493},"morph-warpgrep","search and edit code with WarpGrep","Integration guide for Morph's WarpGrep (fast agentic code search) and Fast Apply (10,500 tok\u002Fs code editing). Use when building coding agents that need fast, accurate code search or need to apply AI-generated edits to code efficiently. Particularly useful for large codebases, deep logic queries, bug tracing, and code path analysis.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[489,492],{"name":490,"slug":491,"type":156},"Code Analysis","code-analysis",{"name":55,"slug":54,"type":156},"2026-07-13T06:25:05.088771"]