Loading...
Loading...
Found 1,801 Skills
Manage git repositories using the worktree pattern for efficient multi-branch development. Use when: (1) Cloning a repository for the first time, (2) Creating a new worktree for a feature branch, (3) Listing existing worktrees, (4) Removing worktrees after work is complete. The worktree pattern clones once and creates lightweight working directories for each branch, avoiding the overhead of multiple full clones.
Use this skill to respond to the user when they enter the phrase "hello world"
Deploy Sablier EVM contracts (Comptroller, ERC20 Faucet, Flow, Lockup, Airdrops) with full workflow automation. This skill should be used when the user asks to "deploy", "deploy protocol", "deploy to chain", or mentions deployment-related tasks. Handles contract deployment, explorer verification, SDK updates, and sample data creation through Init script.
Create, optimize, update, and validate AGENTS.md files with maximum token efficiency. Use when the user asks to (1) create new AGENTS.md files for any repository, (2) optimize/condense existing AGENTS.md to reduce token count, (3) update/refresh AGENTS.md to sync with codebase changes, (4) validate AGENTS.md quality and completeness, or (5) improve AGENTS.md files to be more effective for AI agents. Always generates token-efficient, condensed output focused on actionable commands and patterns while maintaining model-agnostic language.
Guide for creating event-driven hooks for Claude Code. Use when automating responses to tool calls, lifecycle events, or implementing custom validations.
Reviews PR changes against issue technical details and acceptance criteria, posts concise outcomes to PR and issue tracker, and routes autonomous next steps.
End-to-end workflow for processing pull requests from review to merge
Archive a completed task in the configured backend.
Log a workflow mistake, fix its root cause, and graduate the lesson to learned memory. Use when the agent makes an error you want to prevent recurring.
Graduate a workflow insight from learned/<topic>.md into AGENTS.md as a permanent constraint. Use when a lesson is stable enough to apply to every future session.
Install groove's Cursor native hooks into .cursor/hooks.json. Enables compaction-safe re-priming, session-end reminders, git activity capture, and managed-path protection.
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".