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Delegate investigation of a topic to a single subagent and report back. Use when the user asks to research, investigate, explore, or deep-dive on any topic.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Hand off the current task to a fresh background agent running in its own workmux worktree, passing a self-contained prompt synthesized from this conversation's context. Use when the user wants to outsource, delegate, or "hand off" implementation work to a separate agent session (e.g. "handoff this fix", "outsource it to a ccd agent", "spin up an agent to do X").
Delegate a code review to pi (`pi /skill:review`) running in a tmux window, then dispatch subagents to fix each finding and check it off the review file. Use when the user wants an automated review-and-fix loop over their current changes.
Teach a topic using the Feynman technique — explain simply, have the user re-explain, identify gaps, re-teach, and loop until they can explain it on their own. Use when the user wants to deeply understand a topic, test their understanding, or mentions "Feynman".
Build a focused 20-hour learning plan for a topic, structured as 10 two-hour sessions following the Pareto principle (20% that drives 80% of results). Use when the user wants to learn a topic fast, build a study plan, or create a structured curriculum.
Create or update a GitHub pull request for the current branch, committing pending changes first. Use when the user wants to open a PR, update an existing PR, or ship a branch for review.
Ask questions about specific GitHub code repositories using DeepWiki. Use when the user asks about a repo's code, architecture, configuration, modules, APIs, examples, or behavior and provides a GitHub repository in owner/repo form or as a GitHub URL.
| name | research |
| description | Delegate investigation of a topic to a single subagent and report back. Use when the user asks to research, investigate, explore, or deep-dive on any topic. |
| argument-hint | <topic or question> |
Delegate to the researcher subagent, then present findings. Must complete in under 60 seconds.
answer — single-concept, factual, quick lookupdeep-research — comparisons, how-to, multi-part, open-endedLaunch one Agent with subagent_type: "researcher", model: "haiku".
Prompt (use exactly):
text: [USER'S FULL QUESTION]
mode: answer | deep-research
Returns JSON: { "answer": "...", "citations": [{ "url": "...", "title": "..." }] }
For answer:
### [Topic]
- [key point x3-5]
**Sources**
- [Title](url)
For deep-research:
### [Topic]
- [key point x3-5]
**Examples**
[code snippets or real-world usage if present in the answer]
**Sources**
- [Title](url)
List all citations as markdown links. Flag gaps if citations are sparse.