Total 51,241 skills
Showing 12 of 51241 skills
Guides usage of the GitHub CLI (gh) for interacting with GitHub repositories, PRs, issues, and API. Use when working with GitHub resources instead of WebFetch or curl.
SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work.
Use after implementing features - 7-criteria code review with MANDATORY artifact posting to GitHub issue; blocks PR creation until complete
Use when building "MCP server", "Model Context Protocol", creating "Claude tools", "MCP tools", or asking about "FastMCP", "MCP SDK", "tool development for LLMs", "external API integration for Claude"
Terminal session manager for AI coding agents. Use when user mentions "agent-deck", "session", "sub-agent", "MCP attach", "git worktree", or needs to (1) create/start/stop/restart/fork sessions, (2) attach/detach MCPs, (3) manage groups/profiles, (4) get session output, (5) configure agent-deck, (6) troubleshoot issues, (7) launch sub-agents, or (8) create/manage worktree sessions. Covers CLI commands, TUI shortcuts, config.toml options, and automation.
Set up and configure Torii indexer for GraphQL queries, gRPC subscriptions, and SQL access. Use when indexing your deployed world for client queries or real-time updates.
Pre-mortem analysis that imagines a plan has failed, then works backward to identify causes and preventions. Use before launches, major decisions, or risky initiatives to surface hidden risks.
This skill should be used when users need help designing content workflows, creating process documentation, implementing automation rules, designing approval processes, or optimizing content pipelines. It activates when users ask about workflow design, process documentation, automation, approval workflows, or content pipeline optimization.
Browser automation for web tasks - scraping, form filling, testing, screenshots, data extraction. Use when tasks involve web pages, URLs, login flows, or web interaction.
Deep Python code review of changed files using git diff analysis. Focuses on production quality, security vulnerabilities, performance bottlenecks, architectural issues, and subtle bugs in code changes. Analyzes correctness, efficiency, scalability, and production readiness of modifications. Use for pull request reviews, commit reviews, security audits of changes, and pre-deployment validation. Supports Django, Flask, FastAPI, pandas, and ML frameworks.
Managing local .NET tools with dotnet-tools.json for consistent tooling across development environments and CI/CD pipelines.
Guide for using Sentry's layout and text primitives. Use when implementing UI components, layouts, or typography. Enforces use of core components over styled components.