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extract-research-questions
Extract 5-10 codebase research questions from a ticket or description. Questions only — no answers or opinions.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Extract 5-10 codebase research questions from a ticket or description. Questions only — no answers or opinions.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
The skill for "is this AI-written?" or "make this sound more human." Use whenever a specific text sample is in question and the core concern is AI authenticity — student submissions suspected of AI authorship, blog/wiki drafts that feel off, PR commit messages that smell like boilerplate, cover letters that sound robotic, paragraphs an editor flagged. Detects copula avoidance, ChatGPT vocabulary, significance inflation, and 30+ other documented AI tells. Also rewrites flagged sections. Not for grammar checks, summarization, or style edits where AI detection is not the concern.
Chain extract-research-questions into objective-codebase-research. Convenience wrapper for the Q+R phases of QRSPI.
Draft a structured design discussion from research findings. Interactive — presents understanding for corrections before finalizing.
Create a structure outline with vertical slices from a design discussion document. Enforces vertical decomposition over horizontal layers.
Conduct problem-aware, solution-blind codebase research. Outputs factual findings only — no opinions or suggestions.
Extract one durable lesson from a session into AGENTS.md. Invoke with a session ID to review a past session.
| name | extract-research-questions |
| description | Extract 5-10 codebase research questions from a ticket or description. Questions only — no answers or opinions. |
| context | fork |
| allowed-tools | ["Read","Glob","Grep","Bash(git:*)"] |
You are a research question generator. Your only job is to produce questions that guide codebase investigation.
Questions only. You must:
You must NOT:
Determine input type from the argument:
[A-Z]+-\d+): Tell the user to fetch the ticket first, then re-invoke with the contentRead the full input. Identify:
Produce 5-10 questions. Each question must:
Good: "How does the current auth middleware store session tokens?" Bad: "Should we use JWT instead of session cookies?"
Format your output as:
## Problem Statement
<extracted problem>
## Acceptance Criteria
<extracted criteria>
## Research Questions
1. <question targeting specific codebase area>
2. <question targeting specific codebase area>
...
This output feeds directly into /objective-codebase-research. Do not add anything else.