Sequential subagent execution with two-stage review gates for implementation plans. Use when executing multi-task plans in current session, when tasks need fresh subagent context to avoid...

Git worktree–based workspace isolation for parallel or non-disruptive development. Use when work must occur without modifying or interfering with the current working tree.

Root cause analysis for debugging. Use when bugs, test failures, or unexpected behavior have non-obvious causes, or after multiple fix attempts have failed.

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task...

Git branch completion workflow. Use when implementation is complete, tests pass, and a feature branch needs to be integrated via merge, pull request, or cleanup.

Collaborative design exploration that refines ideas into validated specs through iterative questioning. Use before any creative work including creating features, building components, adding...

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Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes',...

Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes',...

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에이전트/스킬 실행 기여도를 분석하고 리포트를 생성합니다. stream.jsonl의 실행 로그를 파싱하여 호출 횟수, 성공률, 순위를 계산합니다. 내장 에이전트(general-purpose, Explore, Plan 등)는 제외하고 커스텀 에이전트/스킬만 분석합니다. "기여도 분석해줘", "이주의 에이전트", "에이전트 통계" 등의 요청 시 사용합니다.

Feature-first init: create or reuse worktree/branch and seed per-feature context. Git-aware and idempotent.

Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration

Fully autonomous TDD with strict guardrails. Use when you want the AI to drive the entire RED-GREEN-REFACTOR cycle independently while maintaining TDD discipline.

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