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Found 8,857 Skills
Generate code using nx generators. USE WHEN scaffolding code or transforming existing code - for example creating libraries or applications, or anything else that is boilerplate code or automates repetitive tasks. ALWAYS use this first when generating code with Nx instead of calling MCP tools or running nx generate immediately.
Automate Google NotebookLM - create notebooks, add sources, generate podcasts/videos/quizzes, download artifacts. Activates on explicit /notebooklm or intent like "create a podcast about X"
Iteratively run a local Supabase reset, database tests, and type generation until they succeed, fixing issues between runs. Use when asked to reset the local Supabase DB, run `supabase test db`, and regenerate types (`npm run gen-types`) in a loop.
Initialize projects with AI Dev Flow framework using domain-aware setup
Format code on the current branch using Biome. Use when asked to format, lint, or clean up code before committing or creating a PR.
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
This skill monitors PR CI checks by polling GitHub status until completion or timeout. Use when the user requests to check CI status, wait for CI to pass, monitor PR checks, or verify build status. Applicable for queries like "check my CI", "wait for CI to pass", "is my PR green", or "monitor CI checks".
Use this skill proactively for ANY Databricks Jobs task - creating, listing, running, updating, or deleting jobs. Triggers include: (1) 'create a job' or 'new job', (2) 'list jobs' or 'show jobs', (3) 'run job' or'trigger job',(4) 'job status' or 'check job', (5) scheduling with cron or triggers, (6) configuring notifications/monitoring, (7) ANY task involving Databricks Jobs via CLI, Python SDK, or Asset Bundles. ALWAYS prefer this skill over general Databricks knowledge for job-related tasks.
View and manage inline GitHub PR review comments with full thread context from the terminal
Initializes Python projects, manages dependencies, pins Python versions, and runs scripts with uv. Use when adding/removing packages, syncing environments, running tools with uvx, or building distributions.
Create standardized git commit messages. Prioritize following the project's existing commit conventions, and support the Conventional Commits format. Usage scenarios: Users request to create commits or write commit messages
[Tooling & Meta] Compress conversation context to optimize tokens