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Found 10,539 Skills
Deployment patterns from Kubernetes to serverless and edge functions. Use when deploying applications, setting up CI/CD, or managing infrastructure. Covers Kubernetes (Helm, ArgoCD), serverless (Vercel, Lambda), edge (Cloudflare Workers, Deno), IaC (Pulumi, OpenTofu, SST), and GitOps patterns.
Format code on the current branch using Biome. Use when asked to format, lint, or clean up code before committing or creating a PR.
This skill should be used when the user asks to "commit", "make a commit", "commit my changes", "create commits", "git commit", or wants to commit staged/unstaged changes with logical grouping and conventional commit format.
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
Extract and analyze YouTube video content (transcripts + metadata). Use when the user explicitly requests to analyze, summarize, extract wisdom from, or get context from a YouTube video. Supports wisdom extraction, summary, Q&A prep, key quotes, and custom analysis. Does NOT auto-trigger on YouTube URLs - only when analysis is explicitly requested.
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
Use when user requests autonomous operation across multiple issues. Orchestrates parallel workers, monitors progress, handles SLEEP/WAKE cycles, and works until scope is complete without user intervention.