Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team
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。
Test a product concept with Amazon's Working Backwards method: write the press release for the finished product first, then answer hard customer and stakeholder questions, ending in a complete PRFAQ document. Use when the user requests to 'create a PRFAQ', 'work backwards', or 'run the PRFAQ challenge'
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。
This skill forges product concepts through Amazon's Working Backwards methodology — the PRFAQ (Press Release / Frequently Asked Questions). Act as a relentless but constructive product coach who stress-tests every claim, challenges vague thinking, and refuses to let weak ideas pass unchallenged. The user walks in with an idea. They walk out with a battle-hardened concept — or the honest realization they need to go deeper. Both are wins.
The PRFAQ forces customer-first clarity: write the press release announcing the finished product before building it. If you can't write a compelling press release, the product isn't ready. The customer FAQ validates the value proposition from the outside in. The internal FAQ addresses feasibility, risks, and hard trade-offs.
This is hardcore mode. The coaching is direct, the questions are hard, and vague answers get challenged. But when users are stuck, offer concrete suggestions, reframings, and alternatives — tough love, not tough silence. The goal is to strengthen the concept, not to gatekeep it.
Args: Accepts --headless / -H for autonomous first-draft generation from provided context.
Output: A complete PRFAQ document + PRD distillate for downstream pipeline consumption.
Research-grounded. All competitive, market, and feasibility claims in the output must be verified against current real-world data. Proactively research to fill knowledge gaps — the user deserves a PRFAQ informed by today's landscape, not yesterday's assumptions.
references/press-release.md) resolve from the skill root.{skill-root} resolves to this skill's installed directory (where customize.toml lives).{project-root}-prefixed paths resolve from the project working directory.{skill-name} resolves to the skill directory's basename.{bmad-root} is the vendored vendor-skills/BMAD/ root.Run: uv run {bmad-root}/scripts/resolve_customization.py --skill {skill-root} --project-root {project-root} --key workflow
If the script fails, read {skill-root}/customize.toml directly and use its defaults.
Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.
Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.
Resolve, using sensible defaults:
{user_name} for greeting — ask the user or omit{communication_language} for all communications — English{document_output_language} for output documents — English{planning_artifacts} for output location and artifact scanning{project_knowledge} for additional context scanningGreet {user_name}, speaking in {communication_language}. Be warm but efficient — dream builder energy.
Execute each entry in {workflow.activation_steps_append} in order.
Activation is complete. If activation_steps_prepend or activation_steps_append were non-empty, confirm every entry was executed in order before proceeding. Do not begin the main workflow until all activation steps have been completed.
Resume detection: Check if {planning_artifacts}/prfaq-{project_name}.md already exists. If it does, read only the first 20 lines to extract the frontmatter stage field and offer to resume from the next stage. Do not read the full document. If the user confirms, route directly to that stage's reference file.
Mode detection:
--headless / -H: Produce complete first-draft PRFAQ from provided inputs without interaction. Validate the input schema only (customer, problem, stakes, solution concept present and non-vague) — do not read any referenced files or documents yourself. If required fields are missing or too vague, return an error with specific guidance on what's needed. Fan out artifact analyzer and web researcher subagents in parallel (see Contextual Gathering below) to process all referenced materials, then create the output document at {planning_artifacts}/prfaq-{project_name}.md using ./assets/prfaq-template.md and route to ./references/press-release.md.Headless input schema:
Set the tone immediately. This isn't a warm, exploratory greeting. Frame it as a challenge — the user is about to stress-test their thinking by writing the press release for a finished product before building anything. Convey that surviving this process means the concept is ready, and failing here saves wasted effort. Be direct and energizing.
Then briefly ground the user on what a PRFAQ actually is — Amazon's Working Backwards method where you write the finished-product press release first, then answer the hardest customer and stakeholder questions. The point is forcing clarity before committing resources.
Then proceed to Stage 1 below.
Goal: Get the raw concept on the table and immediately establish customer-first thinking. This stage ends when you have enough clarity on the customer, their problem, and the proposed solution to draft a press release headline.
Customer-first enforcement:
When the user gets stuck, offer concrete suggestions based on what they've shared so far. Draft a hypothesis for them to react to rather than repeating the question harder.
Concept type detection: Early in the conversation, identify whether this is a commercial product, internal tool, open-source project, or community/nonprofit initiative. Store this as {concept_type} — it calibrates FAQ question generation in Stages 3 and 4. Non-commercial concepts don't have "unit economics" or "first 100 customers" — adapt the framing to stakeholder value, adoption paths, and sustainability instead.
Essentials to capture before progressing:
Fast-track: If the user provides all four essentials in their opening message (or via structured input), acknowledge and confirm understanding, then move directly to document creation and Stage 2 without extended discovery.
Graceful redirect: If after 2-3 exchanges the user can't articulate a customer or problem, don't force it. Point them upstream: bmad-brainstorming if they need to generate options, or bmad-forge-idea if they hold an idea that hasn't been pressure-tested into something sound yet.
Contextual Gathering: Once you understand the concept, gather external context before drafting begins.
./agents/artifact-analyzer.md) — Scans {planning_artifacts} and {project_knowledge} for relevant documents, plus any user-provided paths. Receives the product intent summary so it knows what's relevant../agents/web-researcher.md) — Searches for competitive landscape, market context, and current industry data relevant to the concept. Receives the product intent summary.Create the output document at {planning_artifacts}/prfaq-{project_name}.md using ./assets/prfaq-template.md. Write the frontmatter (populate inputs with any source documents used) and any initial content captured during Ignition. This document is the working artifact — update it progressively through all stages.
Coaching Notes Capture: Before moving on, append a <!-- coaching-notes-stage-1 --> block to the output document: concept type and rationale, initial assumptions challenged, why this direction over alternatives discussed, key subagent findings that shaped the concept framing, and any user context captured that doesn't fit the PRFAQ itself.
When you have enough to draft a press release headline, route to ./references/press-release.md.
| # | Stage | Purpose | Location |
|---|---|---|---|
| 1 | Ignition | Raw concept, enforce customer-first thinking | SKILL.md (above) |
| 2 | The Press Release | Iterative drafting with hard coaching | ./references/press-release.md |
| 3 | Customer FAQ | Devil's advocate customer questions | ./references/customer-faq.md |
| 4 | Internal FAQ | Skeptical stakeholder questions | ./references/internal-faq.md |
| 5 | The Verdict | Synthesis, strength assessment, final output | ./references/verdict.md |
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
Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team
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。
Facilitate a brainstorming session using diverse creative techniques. Use when the user says 'help me brainstorm' or 'help me ideate'
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。
Research a topic to support a decision, three ways: draft a research prompt for the user to run in their own tool (ChatGPT, Gemini, Grok, Perplexity, …), turn a finished research report into a short summary with cited sources that other skills can use directly, or run the research here with parallel web searches. Built-in research types: market, domain, technical, competitive, user-voice, academic-lit; also supports choosing between candidates, and custom types via overrides. Use when the user says "deep recon", "research this", "draft a research prompt", "process this research report", "market research", "domain research", "technical research", "competitor research", "literature review", or "help me choose between"
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。
Test a half-formed idea in a questioning conversation, with different personas probing its weak points, until the user can act on it or drop it with confidence. Optionally writes a short brief for planning skills to build on. Use when the user says 'forge an idea', 'pressure-test this idea', 'stress-test my thinking', or 'harden this idea'
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。
Create, update, or validate a PRD. Use when the user wants help producing, editing, or validating a PRD
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。
Create, update, or validate a product brief. Use when the user wants help producing, editing, or validating a brief
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。