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Found 386 Skills
AI agent workflow with interview-driven planning and team-based execution. Use /design to start planning, /work to execute.
Use when the user says /bye, "wrap up", "end session", or similar. Reconstructs full session history including compacted context, creates a sessionlog, commits changes, and summarizes next steps.
Identifies and manages execution dependencies between agent skills by analyzing their inputs and outputs. Use when building multi-step agent workflows to ensure skills are executed in the correct order and that all required data is available.
Capture conversation lessons as permanent reusable skill files.
Clear conversation context while preserving knowledge via context marker. Use when user says "clear context", "start fresh", "done with this task", or when approaching token limits.
Design composable agentic primitives for flexible workflows. Use when creating reusable workflow building blocks, designing SDLC primitives, or building agent operations that can be combined in different ways.
Use git worktrees for parallel Claude Code workflows. Run multiple Claude instances on different features simultaneously without merge conflicts. Use for parallel development, multi-branch testing, and subagent workflows.
Claude Code config optimization skill. Use when: - Editing CLAUDE.md, rules/, skills/, agents/, commands/ - User asks about config best practices - Checking optimization status - User says "claude code changelog" or "claude code updates" - User asks about new features or breaking changes in Claude Code
Load PROACTIVELY when task involves building a complete feature across multiple layers. Use when user says "build a feature", "add user profiles", "create a dashboard", or any request spanning database, API, UI, and tests. Orchestrates multi-agent work sequentially: schema and migrations, API endpoints, UI components, tests, and review. Handles dependency ordering and cross-layer type sharing.
Review the current session for errors, issues, snags, and hard-won knowledge, then update the rules/ files (or AGENTS.md if no suitable rule file exists) with actionable learnings.
Agent testing methodology - run agents with test inputs, observe outputs, iterate until outputs are accurate and well-structured.
FORGE + Agent Teams — Exploits Agent Teams for true parallel execution of FORGE agents. 3 patterns: pipeline (full pipeline with parallel stories), party (multi-agent debate), build (parallel story development). Requires CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1. Usage: /forge-team pipeline "objective" | /forge-team party "topic" | /forge-team build [STORY-IDs]