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Found 6,499 Skills
Use the AgentTeam Email CLI command `at-email` to operate an agent mailbox. Use when the user wants to check mailbox status, list inbox messages, read safe message content, search mail, mark messages read, archive messages, send email, reply to email, use JSON output for automation, check CLI version/update status, or run the bundled wrapper helper when the skill is available but `at-email` is not on PATH.
Scan the host repo a set of agent skills is installed into and reconcile every installed skill's config.json with detected facts — base branch, monorepo package roots, changelog directory, Linear issue-key prefixes, review bots, protected branches — plus the Linear team name and workspace slug fetched via the Linear MCP. Use when first installing these skills into a repo, or to refresh the configs after the skill set or repo layout changes. Also emits a committed `.claude/skills.lock` inventory of installed skill versions, and ensures the preflight skill's `.preflight-summary.json` scratch output is gitignored. Idempotent and safe to re-run: it reconciles drift rather than clobbering deliberate manual edits, presents a dry-run diff first, and only writes after confirmation — preserving each config's key order and formatting so a no-op run leaves files byte-identical.
Use the `orca` CLI to drive a running Orca editor — manage Orca worktrees; create, read, and run shell commands in Orca-managed terminals; and automate Orca's built-in browser (snapshot/click/fill/screenshot/tabs). Use this instead of raw `git worktree`, ad hoc shell PTYs, or Playwright whenever the task touches Orca state. Coding agents inside an Orca worktree should also use it to keep the worktree comment fresh at meaningful checkpoints. Boundary with `orchestration`: if the recipient of a terminal write is another AI agent (Claude Code, Gemini, Codex, a worker), use `orchestration` — it is the only correct way to send messages, nudges, replies, or task hand-offs to agents. orca-cli writes are for non-agent terminals (shells, build/test commands); reading or `wait`ing on any terminal — including agent terminals — stays in orca-cli.
Verify and debug native, React Native, Expo, or Flutter apps on an Android Emulator with agent-device. Use when an agent needs to launch an app, inspect its live UI, tap, type, scroll, validate a code change, collect failure evidence, or reproduce a workflow on an Android virtual device.
Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with tool calls, or when you need 5× faster inference than vLLM with prefix sharing. Powers 300,000+ GPUs at xAI, AMD, NVIDIA, and LinkedIn.
Advanced search options in GrepAI. Use this skill for JSON output, compact mode, and AI agent integration.
Avoid common mistakes and debug issues in PydanticAI agents. Use when encountering errors, unexpected behavior, or when reviewing agent implementations.
Implement dependency injection in PydanticAI agents using RunContext and deps_type. Use when agents need database connections, API clients, user context, or any external resources.
Bootstrap a modular AI agent with OpenRouter SDK, extensible hooks, and optional Ink TUI
Design and development best practices for Claude Code skills, MCP tools, and AI agent capabilities. Use when creating skills, writing SKILL.md files, designing tool descriptions, or optimizing triggers. Triggers on "create a skill", "skill template", "write skill instructions", SKILL.md, metadata.json, progressive disclosure, trigger optimization, MCP tool design, or skill testing. Does NOT cover specific frameworks or languages (use dedicated skills).
AI agent operational rules including token discipline, navigation-first approach, and output contracts. Use when you need efficient and predictable agent behavior during development tasks.
AI agent with retrieval tool for document Q&A using RAG and LangGraph.