skillboardUpdated every 6 hours
skillboardRecently discovered public Agent Skills from GitHub.
| Compare | Skill | Repository | Category | Compatibility | License | Safety | Action |
|---|---|---|---|---|---|---|---|
| gws-meetManage Google Meet conferences. | googleworkspace/cli | – | Any client | – | ● Review req. | View → | |
| gws-keepManage Google Keep notes. | googleworkspace/cli | Documents & Knowledge | Any client | – | ● Review req. | View → | |
| gws-gmailGmail: Send, read, and manage email. | googleworkspace/cli | – | Any client | – | ● Review req. | View → | |
| gws-gmail-watchGmail: Watch for new emails and stream them as NDJSON. | googleworkspace/cli | – | Any client | – | ● Review req. | View → | |
| gws-gmail-triageGmail: Show unread inbox summary (sender, subject, date). | googleworkspace/cli | – | Any client | – | ● Review req. | View → | |
| gws-gmail-sendGmail: Send an email. | googleworkspace/cli | – | Any client | – | ● Review req. | View → | |
| gws-gmail-replyGmail: Reply to a message (handles threading automatically). | googleworkspace/cli | Communication & Collaboration | Any client | – | ● Review req. | View → | |
| gws-gmail-reply-allGmail: Reply-all to a message (handles threading automatically). | googleworkspace/cli | Communication & Collaboration | Any client | – | ● Review req. | View → | |
| gws-gmail-readGmail: Read a message and extract its body or headers. | googleworkspace/cli | Communication & Collaboration | Any client | – | ● Review req. | View → | |
| gws-gmail-forwardGmail: Forward a message to new recipients. | googleworkspace/cli | Communication & Collaboration | Any client | – | ● Review req. | View → | |
| gws-formsRead and write Google Forms. | googleworkspace/cli | – | Any client | – | ● Review req. | View → | |
| gws-eventsSubscribe to Google Workspace events. | googleworkspace/cli | – | Any client | – | ● Review req. | View → | |
| gws-events-subscribeGoogle Workspace Events: Subscribe to Workspace events and stream them as NDJSON. | googleworkspace/cli | – | Any client | – | ● Review req. | View → | |
| gws-events-renewGoogle Workspace Events: Renew/reactivate Workspace Events subscriptions. | googleworkspace/cli | – | Any client | – | ● Review req. | View → | |
| gws-driveGoogle Drive: Manage files, folders, and shared drives. | googleworkspace/cli | – | Any client | – | ● Review req. | View → | |
| gws-drive-uploadGoogle Drive: Upload a file with automatic metadata. | googleworkspace/cli | – | Any client | – | ● Review req. | View → | |
| gws-docsRead and write Google Docs. | googleworkspace/cli | – | Any client | – | ● Review req. | View → | |
| gws-docs-writeGoogle Docs: Append text to a document. | googleworkspace/cli | Documents & Knowledge | Any client | – | ● Review req. | View → | |
| gws-classroomGoogle Classroom: Manage classes, rosters, and coursework. | googleworkspace/cli | – | Any client | – | ● Review req. | View → | |
| gws-chatGoogle Chat: Manage Chat spaces and messages. | googleworkspace/cli | Communication & Collaboration | Any client | – | ● Review req. | View → | |
| gws-chat-sendGoogle Chat: Send a message to a space. | googleworkspace/cli | Communication & Collaboration | Any client | – | ● Review req. | View → | |
| gws-calendarGoogle Calendar: Manage calendars and events. | googleworkspace/cli | Communication & Collaboration | Any client | – | ● Review req. | View → | |
| gws-calendar-insertGoogle Calendar: Create a new event. | googleworkspace/cli | Communication & Collaboration | Any client | – | ● Review req. | View → | |
| gws-calendar-agendaGoogle Calendar: Show upcoming events across all calendars. | googleworkspace/cli | Communication & Collaboration | Any client | – | ● Review req. | View → | |
| gws-admin-reportsGoogle Workspace Admin SDK: Audit logs and usage reports. | googleworkspace/cli | Security | Any client | – | ● Review req. | View → | |
| surrealmcpSurrealDB MCP for AI agents: built-in server (SurrealDB 3.1+ `surreal mcp`) and standalone surrealmcp (surrealdb/surrealmcp v0.4.0). Part of the surreal-skills collection. | 24601/surreal-skills | Data & AI | Any client | MIT | ● Review req. | View → | |
| surrealkitSurrealKit schema sync, rollout migrations, seeding, and declarative testing for SurrealDB apps. Part of the surreal-skills collection. | 24601/surreal-skills | Software Engineering | Any client | MIT | ● Review req. | View → | |
| surrealismSurrealDB Surrealism WASM extension development. Write Rust functions, compile to WASM, deploy as database modules. Part of the surreal-skills collection. | 24601/surreal-skills | DevOps & Cloud | Any client | MIT | ● Review req. | View → | |
| surrealfsSurrealFS virtual filesystem for AI agents. Rust core + Python agent (Pydantic AI). Persistent file operations backed by SurrealDB. Part of the surreal-skills collection. | 24601/surreal-skills | Software Engineering | Any client | MIT | ● Review req. | View → | |
| surreal-syncData migration and synchronization to SurrealDB from MongoDB, PostgreSQL, MySQL, Neo4j, Kafka, and JSONL. Full and incremental CDC sync. Part of the surreal-skills collection. | 24601/surreal-skills | Data & AI | Any client | MIT | ● Review req. | View → | |
| surrealdbExpert SurrealDB 3 architect and developer skill (tracks v3.1.4+). SurrealQL mastery, multi-model data modeling (document, graph, vector, time-series, geospatial), schema design, security, deployment, performance tuning, SDK integration (JS, Python, Go, Rust, Java, .NET, C, PHP, Swift, Kotlin, Ruby), Surrealism WASM extensions, SurrealML scope coverage (preview), built-in MCP (v3.1+) and standalone SurrealMCP, LangChain Python integration, editor tooling (LSP v0.1.6, tree-sitter, CodeMirror v1.0.6, VS Code/JetBrains/Neovim/Zed), and ecosystem integrations (Surrealist v3.9, Surreal-Sync, SurrealFS, SurrealKit v0.7, n8n, Agent Skills, setup-surreal). Universal skill for 30+ AI agents. | 24601/surreal-skills | Data & AI | Any client | MIT | ● Review req. | View → | |
| surrealdbExpert SurrealDB 3 skill. Use when working with SurrealDB, SurrealQL queries, multi-model data modeling (document, graph, vector, time-series, geospatial), schema design, graph traversal, vector search, security and permissions, deployment and operations, performance tuning, SDK integration, Surrealism WASM extensions, SurrealMCP, Surrealist IDE, Surreal-Sync migrations, SurrealFS, SurrealKit, or ecosystem integrations such as n8n and CodeMirror. | 24601/surreal-skills | Data & AI | Any client | – | ● Review req. | View → | |
| skill-publisher一键发布 agent skill 到 GitHub，自动验证 SKILL.md、生成或检查更吸引人的 README、区分 skill name 与 GitHub repo name、创建或更新仓库、推送并通过 npx skills 真实安装验证。当用户说"发布这个skill"、"publish skill"、"把skill发到GitHub"、"分享这个skill"、"/publish-skill"时触发。支持发布当前目录或指定路径的 skill。 | joeseesun/qiaomu-skill-publisher | – | Any client | – | ● Review req. | View → | |
| podcast-transcript-txtDeterministic workflow to find and export full podcast transcripts as cleaned TXT files from YouTube URLs, episode webpages (including Xiaoyuzhou), Apple Podcasts title search, X/Twitter links, direct audio URLs, or plain episode titles. Use when users ask for 逐字稿/文字版/transcript/txt and want minimal trial-and-error. | KingJing1/podcast-transcript-txt-skill | – | Any client | – | ● Checks passed | View → | |
| traktor-kontrol-qmlTraktor Pro QML modding handbook | lsmith77/traktor-kontrol-qml | – | Any client | – | ● Checks passed | View → | |
| monorepoMUST use for ANY query mentioning packages, monorepo, workspace, catalog, turbo, turborepo, or pnpm in a multi-package context. MUST use when sharing config (ESLint, tsconfig, prettier) across packages, fixing build order between packages, adding new packages, scoping CI installs/caching to changed packages, or debugging pnpm catalog version resolution. This skill OWNS all cross-package coordination problems — even when they look like build, CI, config, or dependency issues. If two or more packages interact in the query, this skill applies. Takes priority over other skills when the problem spans package boundaries. | avibebuilder/claude-prime | – | Any client | – | ● Review req. | View → | |
| humanizerRewrite existing text so it stops sounding AI-generated. Triggers on "humanize this", "un-ChatGPT it", "doesn't scream LLM", "strip the AI voice", or naming specific AI tells (em dashes, "it's not just X it's Y", "stands as a testament", "thrilled to announce", emoji-headed bullets, LinkedIn cringe). Works on any draft — blog posts, memos, READMEs, essays, PR descriptions — inline or in files. Keeps facts; changes voice. Do NOT use for writing new content, summarizing, translating, or pure-explanation requests with no draft to rewrite. | avibebuilder/claude-prime | Data & AI | Any client | – | ● Checks passed | View → | |
| frontend-developmentUse this skill for ANY work involving React, Next.js, TypeScript, or Tailwind in the browser layer. This includes building components and pages, but equally covers debugging and fixing frontend issues: CSS/Tailwind classes not applying, form validation behavior, hydration mismatches between server and client renders, styling bugs, layout shifts, and rendering problems. Also use for refactoring components (e.g., splitting Server vs Client Components), data fetching patterns, state management, bundle optimization, and frontend tooling. If the problem involves what users see or interact with in a web browser — whether building, fixing, or refactoring — use this skill. Not for backend APIs, databases, infrastructure, or DevOps. | avibebuilder/claude-prime | Software Engineering | Any client | – | ● Checks passed | View → | |
| dockerALWAYS activate when the user's query involves Docker in any way — even if it also matches other skills. If the words docker, Dockerfile, docker-compose, compose.yml, container, or image appear in the query, this skill MUST be used. Covers: writing or editing Dockerfiles and compose files, adding services (postgres, redis, etc.) to compose, volume mounts and data persistence, docker build failures (layer caching, npm install issues), healthchecks and service startup ordering (depends_on), environment variables in containers, port mapping, container crashes and exit codes (OOM/137), non-root users, multi-stage builds, image optimization, .dockerignore, and deploying to container runtimes. Takes priority over general implementation or debugging skills when Docker infrastructure is the subject. | avibebuilder/claude-prime | DevOps & Cloud | Any client | – | ● Review req. | View → | |
| backend-fastapi-pythonUse this skill for any Python backend work in this project: building FastAPI endpoints, writing service functions, defining Pydantic/SQLModel schemas, running Alembic migrations, or debugging 422 errors. Essential for authentication and authorization patterns — setting up get_current_user, is_superuser checks, admin-only guards, role-based access, and dependency injection chains like Depends(). Also covers middleware, background tasks, async SQLAlchemy sessions, ORM relationship loading, and request/response design. Activate whenever the question involves Python API code, FastAPI patterns, or backend architecture in this codebase. Not for frontend, Docker, CI/CD, or infrastructure. | avibebuilder/claude-prime | Software Engineering | Any client | – | ● Checks passed | View → | |
| testUse when the user wants to know if something works — the answer requires running code, not analyzing it. Output is a verdict backed by evidence: passed, failed, or broken. Primary triggers: 'run the tests', 'does X still work after my change?', 'did the merge break anything?', 'verify the fix worked', 'check if the endpoint returns X', 'confirm nothing regressed', 'run tests/unit/test_foo.py', 'let me know the results', 'make sure my changes didn't break anything'. Hard stops — do NOT use for: reviewing test code for quality/coverage gaps, debugging why test infrastructure/databases/seed scripts are misbehaving, writing or fixing tests, diagnosing root causes of unexpected behavior. The deciding question: is the user asking for the result of executing something, or asking for help understanding/analyzing/improving something? If it's the latter, use diagnose or review-code instead. | avibebuilder/claude-prime | Software Engineering | Any client | – | ● Checks passed | View → | |
| skill-creatorUse when the user wants to work on a Claude Code skill file (SKILL.md): writing one from scratch, testing whether an existing one works well, running evals or benchmarks, improving its instructions, or fixing why it isn't triggering. Triggers on: 'make a skill for X', 'test this skill', 'run evals on my SKILL.md', 'touch-skill', sharing a SKILL.md and asking if it's ready to ship. The key signal is intent to create, validate, or improve a skill — not just mention one. Do NOT trigger for general Claude Code questions, hook debugging, or CLAUDE.md configuration. | avibebuilder/claude-prime | Software Engineering | Any client | – | ● Review req. | View → | |
| self-evolveThe single config quality skill. Two modes: (1) Default — review/wire pending self-improvement proposals. (2) Audit — analyzes skills, rules, CLAUDE.md, project refs, hooks, and agents against the actual codebase to find inaccuracies, trigger overlaps, stale references, and weak rules, then fixes them. Trigger on 'self-evolve', 'evolve', 'config health check', 'audit config', 'check claude setup', 'apply this rule', 'reorganize rules', 'ok' (when proposals are pending). NOT for improving individual skills (use skill-creator), diagnosing code bugs (use diagnose), or fixing broken code (use fix). | avibebuilder/claude-prime | Software Engineering | Any client | – | ● Checks passed | View → | |
| review-codeReview code for quality, correctness, and fit. Use when the user wants judgment on code that already exists — their own changes, a teammate's patch, a PR, branch, commit, diff, staged changes, or one or more files to look over. Activate on requests like review, look over, sanity check, critique, code review, or 'is this good?' The key signal is that the user wants evaluation of existing code and its tradeoffs, not implementation, debugging, or explanation. This skill works independently, but when plans, specs, task artifacts, or prior discussion exist, use them to understand why the code exists before judging it. | avibebuilder/claude-prime | Software Engineering | Any client | – | ● Checks passed | View → | |
| prime-syncSyncs Claude config between prime repo and target projects. Trigger on 'sync', 'prime-sync', 'push config', 'pull config', 'update prime', 'sync claude config'. Push mode deploys to targets; pull mode imports changes back. | avibebuilder/claude-prime | – | Any client | – | ● Checks passed | View → | |
| optimus-primeGenerates a Claude Code configuration tailored to a specific project. Use whenever the user wants to prime a project, set up claude for a repo, bootstrap claude config, or re-prime/refresh an already-primed project (for example after `/prime-sync` pulled new starter content). Triggers on 'prime', 'prime this project', 'optimus-prime', 're-prime', 'refresh claude config', 'regenerate CLAUDE.md', 'set up claude for this repo'. Deeply analyzes the real codebase and builds project-specific skills, rules, and CLAUDE.md — not generic boilerplate. For ongoing config health checks and proposal review, use `self-evolve` instead. | avibebuilder/claude-prime | Software Engineering | Any client | – | ● Checks passed | View → | |
| media-processorSpecialized visual and multimedia processing tools. Use this skill whenever a task involves complex visual content — UI mockups, dense screenshots, design images, charts, artwork — where precise details like spacing, hex colors, font sizes, and component hierarchy need to be extracted accurately. Also use for: reviewing or auditing existing UI against designs, comparing screenshots for visual regressions, transcribing audio/video, extracting data from PDFs with complex layouts, and generating images. Trigger whenever the user wants to implement from a design, review or compare UI screenshots, analyze visual details precisely, describe artwork or aesthetic content, or process any media file (audio, video, PDF). | avibebuilder/claude-prime | Design & Creative | Any client | – | ● Review req. | View → | |
| give-planUse when the user wants a written, reviewable plan or spec produced before coding starts. Triggers on: mapping out changes without implementing, thinking through risks of upgrades or migrations, evaluating approaches before committing to one, writing specs for team review, phasing work into stages, or any request that explicitly defers coding ('don't implement yet', 'before we build'). The distinguishing signal is that the user wants a plan artifact — not implementation, not a conversational answer. MUST activates inside Claude's native plan mode to have a better planning behavior. | avibebuilder/claude-prime | – | Any client | – | ● Checks passed | View → | |
| frontend-designBuilds distinctive, production-grade UIs that avoid generic AI aesthetics. Use whenever the user wants to build, restyle, or give visual direction to any interface — pages, dashboards, landing pages, components, onboarding flows, mobile screens, or design systems — even without an explicit 'design' request. Also triggers for: picking an aesthetic direction, improving the look of a dull/generic existing page, adding visual personality, or choosing colors/typography. Includes a bundled design intelligence database for concrete guidance across web (React, Next.js, Vue, Tailwind) and mobile (React Native, Flutter, SwiftUI). | avibebuilder/claude-prime | Design & Creative | Any client | – | ● Checks passed | View → | |
| fixFix bugs and broken behavior when there is enough evidence to act on a repair path. Use for errors, crashes, incorrect results, API failures (500, 404, 403), CORS problems, database exceptions, broken rendering, duplicated or wrong data, off-by-one mistakes, timezone/date bugs, broken forms, config-caused runtime failures, and regressions. Trigger when the user wants the bug repaired and the conversation already contains a clear failing area, a reproducible failing test, a concrete error path, or a prior diagnosis to implement. Do NOT use for new features, pure explanation, architecture discussion, broad research, or bug reports where the main need is figuring out why the behavior happens — use diagnose for that. | avibebuilder/claude-prime | Software Engineering | Any client | – | ● Checks passed | View → | |
| docs-seekerFetch up-to-date documentation for any library, framework, API, or service into context. Use when the user wants to look up API references, check function signatures or required fields, find feature-specific docs, or verify how an external tool actually works. Triggers for queries about third-party libraries like Stripe, SQLAlchemy, Tailwind, FastAPI, shadcn, Drizzle, Hono, Better Auth — any time the answer lives in official docs rather than in the project codebase. Use this instead of guessing from trained knowledge, which is stale. | avibebuilder/claude-prime | Software Engineering | Any client | – | ● Checks passed | View → | |
| discussBrainstorms and debates approaches, then drives toward an actionable decision. Use whenever someone needs a thinking partner for a decision they're facing: 'discuss', 'debate', 'brainstorm', 'weigh options', 'tradeoffs', 'should I do X or Y', 'help me decide', 'I'm torn between', 'sanity check my thinking', or 'what do you think about'. The user must be asking for help reasoning through a choice — not asking to build, fix, evaluate, plan, or modify something (even if the topic involves this skill itself). Picks the right decision lens, surfaces tradeoffs and blind spots, pushes back when reasoning is genuinely weak, and never implements. | avibebuilder/claude-prime | – | Any client | – | ● Checks passed | View → | |
| diagnoseInvestigate unexpected behavior and mysterious bugs. Use when the cause of a problem is unknown and the user needs to understand WHY something is happening — symptoms like: sudden unexplained changes in metrics or behavior, works locally but not in staging/production, inconsistent or intermittent failures, correct code producing wrong results, operations succeeding but having no effect, environment-specific failures, duplicate executions, stale data, or any "why did this change?" or "why is this happening?" situation. Covers infrastructure anomalies (cache hit rates dropping, latency spikes, queue behavior shifts) as well as code bugs. The key signal is confusion about root cause, not a request to implement a known fix. Do NOT use for feature requests, known fixes, planning, or documentation tasks. | avibebuilder/claude-prime | Software Engineering | Any client | – | ● Review req. | View → | |
| create-docUse when the user wants to save knowledge as a file so others don't have to rediscover it — "turn this into a doc", "write this up", "document how X works", "we figured this out and want to capture it", "nobody should have to figure this out again". Covers any request to create or update durable written artifacts: onboarding guides, runbooks, ADRs, API docs, architecture notes, postmortems, changelogs, setup guides. The trigger: user wants knowledge captured in a file for future reference, not just a conversation. Do NOT use when still making decisions (→ give-plan), just asking for explanation without a file (→ ask), or writing code (→ cook). | avibebuilder/claude-prime | Software Engineering | Any client | – | ● Checks passed | View → | |
| cookImplement, build, create, or add any feature, endpoint, page, component, or functionality. Use this skill whenever the user asks you to write new code or make code changes — whether it's adding an API endpoint, building a UI page, creating an export feature, wiring up a webhook, implementing a search/filter, or any other hands-on coding task. This is the default skill for all 'build this', 'add this', 'create this', 'wire up', 'implement' requests. Covers the full cycle: clarify requirements, plan if needed, write code, verify, and review. Do NOT use for pure research, debugging, documentation, or explanation — only when the user wants working code delivered. | avibebuilder/claude-prime | Software Engineering | Any client | – | ● Checks passed | View → | |
| askAnswer questions about code, architecture, and technical decisions — no implementation. Trigger on questions asking 'why', 'what does this do', 'what is the purpose of', 'explain', 'what's the difference', 'compare', or 'what are the tradeoffs' — even when referencing specific files, code snippets, or inline code. The key signal is the user wants to UNDERSTAND something, not change it. Do NOT trigger for requests to build, fix, plan, review, research, or add/modify code. | avibebuilder/claude-prime | Software Engineering | Any client | – | ● Checks passed | View → | |
| agent-browserBrowser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. | avibebuilder/claude-prime | Software Engineering | Any client | – | ● Review req. | View → | |
| chanlun-trading-system把缠论分析变成先定级别、再认结构、先写失效点的可执行研究流程。Use for A-share, HK-stock, ETF, index, or futures analysis with 中枢、分型、笔、线段、背驰、区间套、三类买卖点 and multi-level recursion, or for converting Chan theory into reproducible backtest rules. Research and study only; never issue stock tips or promise returns. | noahnan-max/chanlun-trading-system | – | Any client | – | ● Checks passed | View → | |
| teacherAI老师：给定文档/书籍/课程资料后，像老师一样教会用户理解内容。 先诊断学习能力（强/中/弱），再用通俗易懂的方式一步步教学。 支持模仿名师教学风格——用户提供课程字幕或视频链接，AI 提取并复刻其说话方式。 当用户说"教我"、"帮我学"、"帮我理解"、"模仿XX老师的教学风格"或上传资料要求学习时触发。 不要在用户只是问一个简单问题时触发——只在涉及系统性学习/教学时激活。 | chentao326/teacher-skill | Data & AI | Any client | – | ● Review req. | View → | |
| mav-slidecraft-skillCreate stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. | maverickgao8848/mav-slide-craft-skill | Design & Creative | Any client | – | ● Review req. | View → | |
| wpegpt-analyzer驱动 IDA 配合 WPeGPT 插件对二进制可执行文件（PE/ELF）进行自动化逆向分析，输出包含程序用途、网络 IoC、可疑函数及漏洞评估的结构化报告。 | WPeace-HcH/WPeGPT-Analyzer | – | Any client | – | ● Checks passed | View → | |
| xxyy-tradeThis skill should be used when the user asks to "buy token", "sell token", "swap token", "trade crypto", "check trade status", "query transaction", "scan tokens", "feed", "monitor chain", "query token", "token details", "check token safety", "list wallets", "show wallets", "my wallets", "AI scan", "AI扫链", "auto scan", "smart scan", "tweet scan", "推文扫链", "twitter scan", "onboarding", "get started", "check IP", "get IP", "IP whitelist", "查IP", "IP白名单", "launch token", "create token", "发币", "创建代币", "auto sell", "stop loss", "take profit", "trailing stop", "止盈止损", "移动止损", "holders", "top holders", "kol holders", "insider", "持仓", "持仓列表", or mentions trading on Solana/ETH/BSC/Base chains via XXYY. Enables on-chain token trading and data queries through the XXYY Open API. | Jimmy-Holiday/xxyy-trade-skill | Data & AI | Any client | – | ● Review req. | View → | |
| xxyy-tradeThis skill should be used when the user asks to "buy token", "sell token", "swap token", "trade crypto", "check trade status", "query transaction", "scan tokens", "feed", "monitor chain", "query token", "token details", "check token safety", "list wallets", "show wallets", "my wallets", "AI scan", "AI扫链", "auto scan", "smart scan", "tweet scan", "推文扫链", "twitter scan", "onboarding", "get started", "check IP", "get IP", "IP whitelist", "查IP", "IP白名单", "launch token", "create token", "发币", "创建代币", "auto sell", "stop loss", "take profit", "trailing stop", "止盈止损", "移动止损", "holders", "top holders", "kol holders", "insider", "持仓", "持仓列表", or mentions trading on Solana/ETH/BSC/Base chains via XXYY. Enables on-chain token trading and data queries through the XXYY Open API. | Jimmy-Holiday/xxyy-trade-skill | Data & AI | Any client | – | ● Review req. | View → | |
| research-paper-figure-skill-factoryUse when the user wants a research-paper figure Skill Factory: build, patch, package, or use reusable specialized paper-figure-making skills from lawful literature/corpus evidence. Generated skills must use a specialized-skill-first workflow, full-feasible local PDF coverage where available, startup-plan-only first replies, target-paper candidate/final image isolation, mandatory image-embedded visual-structure explanation, mandatory non-target concept/modeling example display for abstract visual decisions, saved subtype/style illustration atlases, ChatGPT web Create image / ChatGPT Images 2.0 rendering, Codex $imagegen-first rendering, sample-image transfer rules, all-step/current-position state footers, and a mandatory first-round diverse candidate board followed by P6b/P6c paper-local best-practice optimization before final prompt construction. | c-narcissus/research-paper-figure-skill-factory | Design & Creative | Any client | MIT-0 | ● Checks passed | View → | |
| credit-optimizerAutomatically optimize AI agent credit usage by routing tasks to the most cost-efficient execution path. Use when you want to reduce AI API costs by 30-75% without quality loss, classify task complexity before execution, route simple tasks to free or low-cost models, split complex tasks into optimized sub-tasks, or detect vague prompts before wasting credits. | rafsilva85/credit-optimizer-v5 | Software Engineering | Claude Code, Codex | MIT | ● Checks passed | View → | |
| ifq-design-skillsUse this skill whenever the user asks for an HTML-first visual design deliverable or design judgment: interactive prototype, slide deck, motion demo, infographic, dashboard, landing page, whitepaper, changelog, business card, social cover, brand system, design critique, multi-variant exploration, or export to MP4, GIF, PPTX, PDF, or SVG. It is optimized to make AI agents do the routing, template selection, verification, and export prep so humans spend less time prompt-engineering. Do not use for production web apps, SEO sites, backend systems, or pure copy edits. | peixl/ifq-design-skills | Design & Creative | Any client | Apache-2.0 WITH brand-clause | ● Review req. | View → | |
| humanizer-academic-zhHumanizer 中文学术版——当用户要求润色论文、去除AI味、降低AIGC检测率，或说"帮我改改这段""这段读起来像AI写的"时触发。 | cangtianhuang/humanizer-academic-zh | Data & AI | Any client | – | ● Checks passed | View → | |
| lets-go-rss轻量级全平台 RSS 订阅管理器。一键聚合 YouTube、Vimeo、Behance、Twitter/X、知识星球、B站、微博、抖音、小红书的内容更新，支持增量去重和 AI 智能分类。 | ALBEDO-TABAI/lets-go-rss | Data & AI | Any client | – | ● Review req. | View → | |
| yueban-image-to-code像素级 750px 图片转代码与切图工作流。当 Codex 需要把当前选中的 UI 图片、截图、App/Web 设计稿、Figma 图片导出稿或设计长图转换为代码，并输出独立透明 PNG 切图资源时使用。适用于严格 1:1 等比例还原、画板宽度精确 750px、禁止自动排版优化、文本可编辑、简单图形原生矢量/代码化、图标和位图独立透明 PNG 提取，以及按矢量层、文本层、位图/图标切图三类模块独立验收的任务。 | SemineChen/yueban-image-to-code | Design & Creative | Any client | – | ● Checks passed | View → | |
| worth-buy-stocksEvaluate whether a US stock is worth buying, holding, reducing, avoiding, or watchlisting under the user's Alpaca-based trend-following and relative-strength framework, with news/event-risk overlay, read-only account exposure overlay, display-only AI second opinion, whole-market scanning, SQLite market-data caching, a persistent Alpaca asset catalog, safe historical warmup and coverage reconciliation, and optional multi-agent evidence collection via stable JSON contracts. Use when the user asks 值得买吗, 股票评分, buy/hold/sell/avoid/watchlist, Alpaca 行情或持仓, account exposure, 全市场扫描/找今天能买的, 行情缓存/历史数据预热/全市场三年数据/资产目录/查漏补缺, multi-agent stock analysis, 并行采集, agent contracts, 入场价/出场价/止盈止损, 30 天行情, 当日行情, 新闻面/事件风险, AI 意见/AI 分析对比, 交易纪律, 趋势跟随, 相对强度, 主升趋势, 修正阶段, momentum leadership, 量价确认, 顶背离, or 超买超卖. | starriv/worth-buy-stocks | Data & AI | Any client | – | ● Review req. | View → | |
| octoclawOctoClaw is the TypeScript-first policy, delegation, status, and operator layer for OpenClaw. Use it when a turn should be routed through reply/delegate policy, WorkContract-backed delegation, runtime status, IM delivery, or feedback-loop tooling. | guanbear/OctoClaw | Software Engineering | Any client | – | ● Checks passed | View → | |
| geo-inferGeospatial Active Inference framework with 44 modules for ecological, civic, and commercial spatial analysis. Use when working with geospatial data, Active Inference, Bayesian modeling, H3 hexagonal indexing, spatial statistics, or any domain-specific geographic analysis (agriculture, health, economics, risk, climate, energy, transport, marine, forestry, water). | ActiveInferenceInstitute/GEO-INFER | Software Engineering | Any client | – | ● Review req. | View → | |
| geo-infer-waterWater resource management and hydrological modeling. Use when analyzing watersheds, water quality, hydrological networks, groundwater systems, water supply/demand planning, or flood risk assessment. | ActiveInferenceInstitute/GEO-INFER | – | Any client | – | ● Checks passed | View → | |
| geo-infer-transportTransportation network analysis and traffic modeling. Use when analyzing road networks, simulating traffic (BPR model), forecasting traffic (EWMA), computing emissions, or optimizing transport routes. | ActiveInferenceInstitute/GEO-INFER | Data & AI | Any client | – | ● Checks passed | View → | |
| geo-infer-timeTime series analysis and temporal modeling for geospatial data. Use when analyzing temporal patterns, forecasting spatial time series, detecting change points, or working with spatio-temporal datasets. | ActiveInferenceInstitute/GEO-INFER | Data & AI | Any client | – | ● Checks passed | View → | |
| geo-infer-testUnified test runner and testing infrastructure for the GEO-INFER ecosystem. Use when running cross-module tests, configuring test categories, setting up test fixtures for spatial data, or analyzing test results. | ActiveInferenceInstitute/GEO-INFER | Software Engineering | Any client | – | ● Checks passed | View → | |
| geo-infer-spmStatistical Parametric Mapping for geospatial data. Use when performing GLM-based spatial analysis, random field theory corrections, cluster-level inference, or neuroimaging-style statistical mapping on geographic datasets. | ActiveInferenceInstitute/GEO-INFER | Data & AI | Any client | – | ● Checks passed | View → | |
| geo-infer-spaceH3 hexagonal spatial indexing and multi-backend spatial operations. Use when working with H3 cells, spatial indexing, coordinate systems, raster/vector operations, or any spatial backend dispatch (H3, SRAI, PostGIS). | ActiveInferenceInstitute/GEO-INFER | Software Engineering | Any client | – | ● Checks passed | View → | |
| geo-infer-simAgent-based simulation for geospatial environments. Use when building spatial simulations, modeling agent interactions in geographic space, running Monte Carlo spatial experiments, or comparing spatial planning scenarios. | ActiveInferenceInstitute/GEO-INFER | – | Any client | – | ● Checks passed | View → | |
| geo-infer-secSecurity and threat detection for geospatial systems. Use when implementing spatial access control, anomaly detection on access patterns, geospatial threat assessment, security auditing, or spatial data anonymization. | ActiveInferenceInstitute/GEO-INFER | Security | Any client | – | ● Checks passed | View → | |
| geo-infer-riskGeospatial risk modeling including catastrophe models, exposure analysis, and underwriting. Use when assessing spatial risk, building catastrophe models, analyzing exposure/hazard/vulnerability, or computing portfolio risk metrics. | ActiveInferenceInstitute/GEO-INFER | Security | Any client | – | ● Checks passed | View → | |
| geo-infer-reqRequirements engineering and traceability for geospatial projects. Use when managing spatial project requirements, building traceability matrices, implementing P3IF frameworks (Purpose, People, Process, Infrastructure, Finance), or tracking requirement coverage and verification. | ActiveInferenceInstitute/GEO-INFER | DevOps & Cloud | Any client | – | ● Checks passed | View → | |
| geo-infer-placePlace-based analysis with H3 hexagonal indexing. Use when performing place identification, catchment area analysis, county/region geometry loading, or H3-based place-shedding and geographic boundary operations. | ActiveInferenceInstitute/GEO-INFER | Business & Operations | Any client | – | ● Checks passed | View → | |
| geo-infer-pepPublic engagement platform for geospatial projects. Use when building CRM for spatial stakeholders, managing public consultations, tracking community engagement with geographic planning, or running participation analytics. | ActiveInferenceInstitute/GEO-INFER | Data & AI | Any client | – | ● Checks passed | View → | |
| geo-infer-orgOrganizational modeling for geospatial entities. Use when modeling organizational structures, spatial resource allocation, inter-organizational network analysis, or institutional spatial analysis for governance. | ActiveInferenceInstitute/GEO-INFER | – | Any client | – | ● Checks passed | View → | |
| geo-infer-opsOperations, monitoring, and observability for geospatial infrastructure. Use when setting up monitoring dashboards, configuring alerts, tracking system health, or managing deployment of spatial services. | ActiveInferenceInstitute/GEO-INFER | DevOps & Cloud | Any client | – | ● Checks passed | View → | |
| geo-infer-normsNormative inference and compliance tracking for geospatial governance. Use when evaluating spatial policy compliance, tracking governance metrics, computing normative content influence (Jaccard similarity), or managing multi-criteria regulatory frameworks. | ActiveInferenceInstitute/GEO-INFER | – | Any client | – | ● Checks passed | View → | |
| geo-infer-metagovMeta-governance frameworks for geospatial decision-making. Use when implementing polycentric governance, multi-level institutional analysis, stakeholder engagement, conflict resolution, or adaptive governance scenarios for spatial resource management. | ActiveInferenceInstitute/GEO-INFER | – | Any client | – | ● Checks passed | View → | |
| geo-infer-mathSpatial statistics, topology, and graph theory for geospatial analysis. Use when computing Moran's I, spatial autocorrelation, geodesic distances, graph connectivity, kernel density estimation, or any mathematical operation on geographic data. | ActiveInferenceInstitute/GEO-INFER | Data & AI | Any client | – | ● Checks passed | View → | |
| geo-infer-marineMarine and ocean analysis for coastal and offshore environments. Use when analyzing ocean currents, marine ecosystems, coastal erosion, bathymetry, marine protected area planning, or fisheries management. | ActiveInferenceInstitute/GEO-INFER | – | Any client | – | ● Checks passed | View → | |
| geo-infer-logLogistics optimization including route planning, fleet management, delivery scheduling, and supply chain modeling. Use when optimizing delivery routes, managing fleets, analyzing supply chain resilience, or computing emissions from transportation. | ActiveInferenceInstitute/GEO-INFER | – | Any client | – | ● Checks passed | View → | |
| geo-infer-iotIoT sensor data ingestion and real-time streaming for geospatial monitoring. Use when connecting to MQTT brokers, processing sensor streams, validating spatial sensor data quality, or building real-time geospatial monitoring pipelines. | ActiveInferenceInstitute/GEO-INFER | Data & AI | Any client | – | ● Checks passed | View → | |
| geo-infer-intraCentral documentation hub and cross-module integration guides for GEO-INFER. Use when navigating documentation, finding cross-module integration patterns, understanding data flow architecture, or locating tutorials and API references. | ActiveInferenceInstitute/GEO-INFER | Software Engineering | Any client | – | ● Checks passed | View → | |
| geo-infer-healthSpatial epidemiology and public health analysis. Use when modeling disease spread, analyzing health disparities, performing spatial health risk assessment, building epidemiological surveillance systems, or assessing healthcare accessibility. | ActiveInferenceInstitute/GEO-INFER | – | Any client | – | ● Checks passed | View → | |
| geo-infer-gitGit-based versioning and collaboration for geospatial datasets. Use when versioning spatial data, managing geospatial dataset lineage, tracking spatial data changes, resolving merge conflicts in geospatial formats, or building reproducible analysis pipelines. | ActiveInferenceInstitute/GEO-INFER | Software Engineering | Any client | – | ● Checks passed | View → | |
| geo-infer-forestForest analysis and forestry management. Use when analyzing forest cover change, timber inventory, deforestation detection, forest carbon stocks, wildfire risk assessment, or canopy structure analysis. | ActiveInferenceInstitute/GEO-INFER | – | Any client | – | ● Checks passed | View → | |
| geo-infer-examplesWorking examples and module orchestration patterns. Use when looking for usage examples, cross-module orchestration patterns, end-to-end workflows, or reference implementations of GEO-INFER capabilities. | ActiveInferenceInstitute/GEO-INFER | – | Any client | – | ● Checks passed | View → | |
| geo-infer-energyEnergy systems analysis and renewable energy siting. Use when computing LCOE, analyzing energy grid spatial patterns, optimizing renewable energy placement, assessing energy storage, or performing techno-economic analysis of energy projects. | ActiveInferenceInstitute/GEO-INFER | – | Any client | – | ● Checks passed | View → | |
| geo-infer-emergencyEmergency management and disaster response. Use when planning search and rescue, optimizing emergency resource deployment, modeling disaster scenarios, coordinating evacuation routes, or managing multi-agency response logistics. | ActiveInferenceInstitute/GEO-INFER | – | Any client | – | ● Checks passed | View → | |
| geo-infer-eduEducational technology for geospatial learning. Use when creating spatial analysis curricula, interactive GIS exercises, learning progression models, competency assessment for geographic concepts, or step-by-step spatial tutorials. | ActiveInferenceInstitute/GEO-INFER | – | Any client | – | ● Checks passed | View → |