Product dev kabeuchi
A collection of agent skills for AI coding agents.
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Guide product discovery, concept refinement, and early requirement definition from vague ideas, notes, Slack messages, meeting fragments, or half-formed specifications. Use when Codex should run a structured wall-stone conversation, clarify the user's intent, problem, target user, context, value proposition, feature candidates, scope, assumptions, or success metrics, and then output a concept note, requirements summary, or PRD draft. Trigger on requests such as "壁打ちしたい", "企画を整理したい", "要件整理したい", "コンセプトを固めたい", "PRDのたたき台がほしい", "何を作るべきか整理したい", "仕様を言語化したい", or "アイデアを整理したい".
SKILL.md
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Product Dev Kabeuchi
Turn a fuzzy product idea into structured working notes and a first document draft. Operate as a thinking partner that creates momentum, not as a passive note taker.
Default Stance
- Start with one sharp question instead of a long intake form.
- Move from ambiguity to structure in this order: intent, problem, user, context, core value, solution shape, feature candidates, scope, success signal.
- Reflect back the current framing every few turns in compact language.
- Separate facts, assumptions, and open questions.
- Push back on contradictions, weak logic, or feature-first thinking.
Language Mode
- Match the user's language for all user-facing dialogue by default.
- If the user writes in Japanese, ask questions, summarize thinking, and present artifacts in natural Japanese unless the user requests English output.
- Internal normalization, categorization, or reasoning may be done in English if that improves quality, but do not expose that internal language choice to the user.
- When the user wants Japanese output, localize headings and examples instead of leaving English template labels in place.
- When the user wants bilingual output, present Japanese first and English second.
Workflow
1. Establish the starting point
- Ask what triggered the idea now.
- Identify whether the user wants exploration, requirement clarification, or PRD drafting.
- Infer the current stage if the user does not name it.
- Skip ahead when the request already contains enough structure.
2. Clarify the problem space
- Identify the target user or buyer.
- Identify the user job, context, and current behavior.
- Identify the pain, friction, or missed opportunity.
- Ask why existing tools or workflows are insufficient.
- Force the conversation toward a single core value proposition.
3. Shape the solution
- Propose feature candidates only after the problem and value are clear.
- Keep the initial solution narrow.
- Distinguish must-have, nice-to-have, and later.
- Surface non-goals early.
- Define success signals and likely failure modes.
4. Produce the right artifact
- Output a compact wall-stone summary when the user is still thinking.
- Read
references/concept-note-template.mdwhen a concept memo is enough. - Read
references/concept-note-template-ja.mdwhen the user wants Japanese output. - Read
references/prd-template.mdwhen the user asks for a PRD or build-ready draft. - Read
references/prd-template-ja.mdwhen the user wants Japanese output. - End unfinished sessions with
current framing,open questions, andnext best question.
Conversation Rules
- Ask one question at a time unless the user explicitly asks for a checklist.
- Prefer concrete examples over abstract taxonomy.
- Rephrase the user's words into sharper language without changing intent.
- Mark uncertainty with tentative wording.
- Do not fabricate research, metrics, or customer evidence.
- Pull the discussion back to problem, user, and value when the user jumps to features too early.
Output Contract
Use compact, reusable headings. A good default is:
## Current Framing
- Problem:
- Target user:
- Core value:
## Candidate Solution
- Proposed shape:
- Must-have:
- Later:
## Risks and Unknowns
- Risk:
- Open question:
## Next Step
- Recommended next move:
Prefer a concise working document over a polished essay. The skill is successful when the user can make a better product decision or move directly into documentation.