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Found 4,140 Skills
Use when landing a stack of dependent GitHub PRs, merging a PR whose base is another open PR's branch, or a request mentions stacked or dependent PRs. Requires each same-repository dependency chain to use GitHub's official stacked-PR feature before landing.
Record browser or Web UI interaction demos as optimized GIFs using the available browser tooling, state-based frame capture, and deterministic encoding, then publish to a dedicated assets branch when the task includes attaching the GIF to a pull request. Use when asked to make, record, or generate a GIF that demonstrates a browser workflow, and for every pull request that changes product-user-visible GUI behavior, which MUST include a GIF recorded from the pull request's real server and data flow.
Generate targeted test scenarios for a LiveKit voice or chat agent and run them as simulations — locally, from the agent's own code plus what the user wants stress-tested. Use whenever the user wants to "test my agent", "what should I test", "create/generate simulation scenarios", "make a sim test suite", "use lk agent simulate", "stress-test the X flow", "set up scenarios for my agent", or wants to probe edge cases / refusals / regressions before shipping. Generates scenarios on the user's machine (their code is never uploaded) and lets the user deeply steer what gets tested. Trigger even without the word "simulation" when the user clearly wants to decide what to test and verify how their agent behaves across realistic conversations. Not for building a new agent from scratch (use the livekit-agents skill), load-testing, or ordinary unit tests.
Use when working on DOTA2 custom game addons, including server Lua, TypeScriptToLua/TSTL vscripts, SolidJS Panorama UI, TypeScript Panorama, Panorama JavaScript, Panorama CSS/XML, KV files, abilities, modifiers, custom game events, net tables, Dota2 MCP live status/testing, and API lookup against Dota 2 runtime or BigCiba/vscode-dota2-tools references.
Install, update, or uninstall hook-based desktop/audio reminders for Agent stop and attention events. Use only when the user explicitly invokes agent-doorbell or asks to configure, enable, install, update, disable, remove, or uninstall automatic Agent doorbell hooks. Do not use for ordinary final responses or manual stop ringing.
Use when writing or reviewing agent instructions and current-state docs — rules files (AGENTS.md/CLAUDE.md), skill bodies and descriptions, prompts, and design/plan/process docs — or on request to prune a task or session file. Restates negation priming, absence declarations, stale meta-narrative, and strawman warnings as positive targets or consequences.
Govern cross-project engineering decisions and route ambiguous, cross-cutting, or global-versus-project rule questions to the smallest focused Skill. Use as an explicit engineering entrypoint; ordinary architecture, domain, testing, debugging, review, Git, and CI requests should go directly to their specialist.
Design or verify automated build, test, quality-gate, release, deployment, and post-deployment checks, including failure evidence and stop or rollback conditions. Do not use it for branch, commit, or tag history, or infer product correctness from a green pipeline alone.
Review a diff or proposed implementation for behavior correctness, boundary violations, regressions, error handling, maintainability, scope, and verification evidence before merge or handoff. Do not use it as the primary Skill for live failure diagnosis or new implementation planning.
Use when designing, critiquing, or implementing forms, inputs, validation, checkout, registration, payment, or any data-entry flow.
Cartographic principles for MapLibre GL JS — label and symbol legibility on imagery vs. vector basemaps, figure-ground for point icons, styling vector roads over aerial imagery, visual hierarchy, typography (glyphs/font stacks), sprites and route shields, layer ordering for data injection, and accessibility. Use when styling a map, choosing text or symbol colors, making markers or roads readable on satellite/aerial imagery, setting up fonts or icons, debugging shields, or ordering layers correctly.
Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.