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Found 9,072 Skills
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Automate Gmail tasks via Rube MCP (Composio): send/reply, search, labels, drafts, attachments. Always search tools first for current schemas.
Automate Google Calendar events, scheduling, availability checks, and attendee management via Rube MCP (Composio). Create events, find free slots, manage attendees, and list calendars programmatically.
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Create New Skill - scaffolds a skill definition following Claude Code conventions and this repository's patterns. Use when adding a new skill.
Spec Status - displays pipeline progress dashboard for a single specification showing document statuses, blockers, and next action.
Implement Tasks - executes tasks from the tasks document using subagents. Use when ready to start coding a feature.
Invoke the skill `git:message` to generate a commit message, then create the Git commit non-interactively. Use when you need to commit either the already-staged changes or the full current working tree relative to `HEAD`, while preserving a review-friendly message and footer handling. Trigger for requests such as the skill `git:commit` or the skill `git:commit` with `HEAD`, especially when the user wants safe staging behavior and a clean commit created from the drafted message.
Generate a git-log-review-friendly commit message from repository changes. Use when you need to inspect staged changes, the current working tree relative to `HEAD`, or a commit-to-working-tree range and draft only the commit message text in a conventional-commit-style format, without creating the commit. Trigger for requests such as the skill `git:message`, the skill `git:message` with `staged`, the skill `git:message` with `HEAD`, or the skill `git:message` with `<commit>`, especially when the user wants a squash-ready summary of the most important changes.
Generate or update project memory for AI agents — default to AGENTS.md, support agent-specific targets such as CLAUDE.md, and keep sibling memory files synchronized while capturing stable architecture, conventions, and operational knowledge
Guided codebase understanding — detect project type, map dependencies and external systems, extract core concepts, enumerate API surfaces, and deep-dive into request paths interactively
Fetch and analyze Linear issue with all related context. Use when starting work on a Linear ticket, analyzing issues, or gathering context about a Linear issue.