Skills.
Give your AI a better way to work.
A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.
Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.
Category: AI & models
9,032 results · page 234 of 302
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freeshard-docs-and-positioningSkillAI & models
Maintaining Freeshard's docs of record (agents.md, README.md, docs.freeshard.net) and writing anything user- or public-facing. TRIGGER on editing agents.md or README.md, "update the docs", "is this doc still true", contradictions between a doc and the code, the Portal/Freeshard naming question ("sho
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freeshard-ecosystem-contractsSkillAI & models
Cross-repo contracts between shard_core (this repo) and freeshard-controller, web-terminal, app-repository, landing-page — and how they drift. Use when a change spans repos or touches a contract surface. TRIGGER on: shard_core/data_model/backend/*, `just get-types`, shard_core/data_model/profile.py,
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fresh-eyes-loopSkillAI & models
Post-release independent quality loop — a single-blind four-role pipeline (A reviews from 12 perspectives → B fixes → C verifies → D re-checks), with a fresh session each round to guarantee zero context; stops after 2 consecutive rounds with no P0/P1 issues.
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httpieSkillAI & models
Use this skill whenever the user wants to make HTTP requests, test APIs, call REST endpoints, debug web services, or interact with any HTTP/HTTPS API using the HTTPie CLI tool (`http` command). Trigger this skill for any request involving: sending GET/POST/PUT/PATCH/DELETE requests, testing API endp
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m5-onboardSkillAI & models
End-to-end onboarding for a freshly-plugged-in M5Stack ESP32 device (Cardputer, Cardputer-Adv, Core, CoreS3, Stick) — detect on USB, flash UIFlow 2.0 firmware, and install the Claude Buddy MicroPython app bundle. Use whenever the user plugs in or wants to flash/provision/reset an M5Stack or ESP32 bo
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math-olympiadSkillAI & models
"Solve competition math problems (IMO, Putnam, USAMO, AIME) with adversarial verification that catches the errors self-verification misses. Activates when asked to 'solve this IMO problem', 'prove this olympiad inequality', 'verify this competition proof', 'find a counterexample', 'is this proof cor
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mcp-integrationSkillAI & models
This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides
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project-artifactSkillAI & models
Generate and publish a project status artifact — an opinionated, tabbed status page for a project too big for one update (overview & success criteria, the workstream sequence, next steps, plus background, plan, risks & open questions, and decisions/FAQ when they earn a tab) — published with the buil
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project-retrospectiveSkillAI & models
Use when a project needs multi-session retrospective analysis: after milestones, before starting a new phase, when vision drift is suspected, or every 3-5 sessions. Triggers include user saying retro, run a retro, since-last-retro; asks to analyze patterns, recurring mistakes, or correction trends a
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receiptsSkillAI & models
Generate a personal Claude Code usage & impact report ("receipts") from this machine's local session transcripts — for justifying Claude Code usage/spend to a manager, self-review, or "what have I been using this for" check-ins. Mines ~/.claude/projects locally (no extra API calls beyond one final w
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release-gate-loopSkillAI & models
Pre-release automated verification gate — a V verify + F fix loop (verdict FAIL → F fix code → run audit → V re-verify), up to 3 rounds until PASS. Read-only verification + minimal fixes only.
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session-reportSkillAI & models
Generate an explorable HTML report of Claude Code session usage (tokens, cache, subagents, skills, expensive prompts) from ~/.claude/projects transcripts.
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Software EngineerSkillAI & models
An engineering specialist focused on minimal viable diffs—fixing only what was asked, rejecting scope creep, and preferring three lines of similar code over premature abstraction. This discipline prevents bug-fix PRs from turning into refactoring avalanches.
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sub-agent-sandboxingSkillAI & models
Use when delegated work needs runtime guardrails — constrain sub-agents with loop detection, circuit breakers, and escalating sandbox levels before accepting their output
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twilight-aiSkillAI & models
Assist with development in the Twilight AI Go SDK. Use when working in this repository, adding or updating providers, embeddings, tool calling, streaming, examples, or docs for Twilight AI.
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[Vendor] [Topic]SkillAI & models
[What this skill covers — the domain knowledge inside: entities, API surface, workflows, gotchas. One clear statement of coverage; do not restate the trigger conditions from when_to_use.]
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ai-native-marketing-growthSkillAI & models
AI Native marketing and growth strategy Skill. Based on the methodology of 《AI Native 营销与增长》, it helps users build growth systems with AI as the first principle: upgrading from tool-based thinking to systems thinking.
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ai-native-pm-agentSkillAI & models
AI Native PM Agent — an eight-books-in-one orchestrator for the full product lifecycle. The user provides a product idea or problem lead, and the Agent automatically routes it to the corresponding phase from P0 to P14 for execution. Based on a methodology system drawn from 8 books, with 80 executabl
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ai-native-product-needsSkillAI & models
AI Native product needs discovery Skill. Based on the《AI rebuild product needs》methodology, it helps users in AI Agent
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ai-native-production-opsSkillAI & models
AI-Native product methodology — a hands-on Skill for production operations and feedback loops.
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Atera TicketsSkillAI & models
Atera service desk tickets: ticket fields, statuses, priorities, comments, work hours, and billing duration.
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What is a skill?
A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.
54,855 of the 55,286 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.
Install one and every AI you use gets it
Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.
Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.