Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.
日本語の概要は準備中です。原文の説明を表示しています。
Use when shaping a fuzzy product ask into a refined backlog item — problem framing, user-story rewrite, AC tightening — even if the user just says 'help me write this ticket'.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Take a vague product request and return a problem-framed, user-story-shaped, AC-tight backlog item ready for refinement. Output is copy-paste ready; write-back to the tracker is user-gated. Sibling of
refine-ticket— that one tightens an existing ticket, this one shapes the raw input before a ticket exists.
Do NOT use when:
refine-ticket.Read the user's text verbatim. Do NOT rephrase yet. Identify: who is the asker (PO, support, eng, exec)? What artefact did they hand over (slack thread, screenshot, voice note transcript, free text)?
Answer four questions, every answer cited from the input or marked
unknown:
| Question | Why it matters |
|---|---|
| Who has the problem? | Personas, segments, internal vs external |
| What outcome do they want? | Distinguishes need from solution |
| What is the current pain or workaround? | Sizes the gap |
| What changes if we ship this? | Surfaces success signals |
Any answer marked unknown blocks story shaping — surface the gap
back to the user before continuing.
Use the canonical form: As a {persona}, I want {capability}, so
that {outcome}. Capability ≠ implementation. If the input says
"add a CSV button", reframe to "I want my data in a portable format,
so that I can use it outside the product".
Each AC is observable, binary (passes or fails), and does not name an implementation. Use Given / When / Then or a numbered list. Reject ACs that hide assumptions ("works correctly", "is fast enough") — replace with measurable thresholds or strike them.
Cross-source discrepancy scan (per cross-source-consistency): when the raw input includes a screenshot / mockup alongside the story text, check the sources against each other and surface any conflict as a gap / open question — never resolve it silently. Watch for: story text contradicting an attached screenshot; the AC contradicting the description; a clearly-needed behavior the input never states (weekend/holiday shift, empty/error state). Batch them into one clarifying question. Taxonomy: cross-source-consistency-mechanics.
Flag anything missing that downstream skills will need: success
metric, target users, rollout window, accessibility, security or
privacy boundary, multi-tenant scope. Do NOT invent values — list
them as gap items for the user to fill.
Asker: <role / name>
Source: <slack / email / verbal / pasted text>
Problem: <one sentence — who, want, why>
User story:
As a <persona>, I want <capability>, so that <outcome>.
Acceptance criteria:
1. Given <state>, when <action>, then <observable result>.
2. ...
Open gaps (block estimation):
- <gap 1>
- <gap 2>
Suggested next step: /refine-ticket | /estimate-ticket | fill gaps
If gaps remain, surface them and stop — do NOT push to estimation.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.
日本語の概要は準備中です。原文の説明を表示しています。
Use when defining or auditing the activation event — aha-moment selection, retention correlation, falsifiable definition. Triggers on 'what is our aha moment', 'redefine activation'.
日本語の概要は準備中です。原文の説明を表示しています。
Use when capturing an architectural decision — file naming, next ADR number, Status / Context / Decision / Consequences, index regen; fires even without saying 'ADR'.
日本語の概要は準備中です。原文の説明を表示しています。
Adversarial critique — devil's advocate, stress-test, honest teardown ('poke holes', 'be brutal', 'was hältst du davon'); explicit request only. Routine code or design review → code-review.
日本語の概要は準備中です。原文の説明を表示しています。
Use when reading, creating, or updating agent documentation, module docs, roadmaps, or AGENTS.md. Understands the full .augment/, agents/, and copilot-instructions structure.
日本語の概要は準備中です。原文の説明を表示しています。
Use for an adversarial red-team / blue-team / auditor review of an AI agent's CONFIG + behaviour (rules, skills, MCP, hooks, permissions) — attack-chain → defensive-gap list, not a code audit.
日本語の概要は準備中です。原文の説明を表示しています。