Agent skill

Bmad Prfaq

by delorenj in delorenj/mcp-server-trello

Working Backwards PRFAQ challenge that stress-tests a product concept customer-first.

MITAuto-check passedTesting & QA

Install Bmad Prfaq

skills CLI
$ npx skills add delorenj/mcp-server-trello --skill bmad-prfaq -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install delorenj/mcp-server-trello bmad-prfaq --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/delorenj/mcp-server-trello.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agent/skills/bmad-prfaq .claude/skills/bmad-prfaq && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
bmad-prfaq
GitHub stars
445
Used in
1 other repo
Token cost
~2.7k tokens
SKILL.md length
1,374 words
Files
10 (incl. references, assets)
Skills in repo
64
Repo updated
First seen
Licence
MIT

At a glance

Working Backwards PRFAQ challenge that stress-tests a product concept customer-first.

  • Works in 6 steps: Resolve the Workflow Block → Execute Prepend Steps → Load Persistent Facts → …
  • The user requests to create a PRFAQ
  • SKILL.md covers Overview, Conventions, On Activation and Pre-workflow Setup, plus 2 more sections
  • Calls python3

What it does

Bmad Prfaq is an agent skill from delorenj/mcp-server-trello. Working Backwards PRFAQ challenge that stress-tests a product concept customer-first. Use when the user requests to 'create a PRFAQ', 'work backwards', or 'run the PRFAQ challenge'.

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files and assets (for example `agents/artifact-analyzer.md`, `agents/web-researcher.md` and `assets/prfaq-template.md`).

It sits in Testing & QA, covering Load testing. The repository describes itself as: A Model Context Protocol (MCP) server that provides tools for interacting with Trello boards. The licence is MIT.

When your agent uses it

  • The user requests to create a PRFAQ
  • Run the PRFAQ challenge

Example prompts

  • “create a PRFAQ”
  • “work backwards”
  • “run the PRFAQ challenge”
  • “/bmad-prfaq”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Resolve the Workflow Block
  2. Execute Prepend Steps
  3. Load Persistent Facts
  4. Load Config
  5. Greet the User
  6. Execute Append Steps

What it can do on your machine

Read from SKILL.md and the folder at commit 737292f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Bmad Prfaq loads about 2.7k tokens when it runs, and up to ~6.8k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 1,374 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from delorenj/mcp-server-trello at commit 737292f, republished under its MIT licence (© delorenj). 1,374 words, ~2,689 tokens.

Download SKILL.mdSave it as .claude/skills/bmad-prfaq/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
bmad-prfaq
description
Working Backwards PRFAQ challenge that stress-tests a product concept customer-first. Use when the user requests to 'create a PRFAQ', 'work backwards', or 'run the PRFAQ challenge'.

Working Backwards: The PRFAQ Challenge

Overview

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.

Conventions

  • Bare paths (e.g. 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.

On Activation

Step 1: Resolve the Workflow Block

Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow

If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:

  1. {skill-root}/customize.toml — defaults
  2. {project-root}/_bmad/custom/{skill-name}.toml — team overrides
  3. {project-root}/_bmad/custom/{skill-name}.user.toml — personal overrides

Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.

Step 2: Execute Prepend Steps

Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.

Step 3: Load Persistent Facts

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.

Step 4: Load Config

Load config from {project-root}/_bmad/bmm/config.yaml and resolve:

  • Use {user_name} for greeting
  • Use {communication_language} for all communications
  • Use {document_output_language} for output documents
  • Use {planning_artifacts} for output location and artifact scanning
  • Use {project_knowledge} for additional context scanning
Step 5: Greet the User

Greet {user_name}, speaking in {communication_language}. Be warm but efficient — dream builder energy.

Step 6: Execute Append Steps

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.

Pre-workflow Setup

  1. 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.

  2. 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.
  • Default: Full interactive coaching — the gauntlet.

Headless input schema:

  • Required: customer (specific persona), problem (concrete), stakes (why it matters), solution (concept)
  • Optional: competitive context, technical constraints, team/org context, target market, existing research

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.

Show full SKILL.md (613 more words)Show less

Stage 1: Ignition

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:

  • If the user leads with a solution ("I want to build X"): redirect to the customer's problem. Don't let them skip the pain.
  • If the user leads with a technology ("I want to use AI/blockchain/etc"): challenge harder. Technology is a "how", not a "why" — push them to articulate the human problem. Strip away the buzzword and ask whether anyone still cares.
  • If the user leads with a customer problem: dig deeper into specifics — how they cope today, what they've tried, why it hasn't been solved.

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:

  • Who is the customer/user? (specific persona, not "everyone")
  • What is their problem? (concrete and felt, not abstract)
  • Why does this matter to them? (stakes and consequences)
  • What's the initial concept for a solution? (even rough)

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.

  1. Ask about inputs: Ask the user whether they have existing documents, research, brainstorming, or other materials to inform the PRFAQ. Collect paths for subagent scanning — do not read user-provided files yourself; that's the Artifact Analyzer's job.
  2. Fan out subagents in parallel:
    • Artifact Analyzer (./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.
    • Web Researcher (./agents/web-researcher.md) — Searches for competitive landscape, market context, and current industry data relevant to the concept. Receives the product intent summary.
  3. Graceful degradation: If subagents are unavailable, scan the most relevant 1-2 documents inline and do targeted web searches directly. Never block the workflow.
  4. Merge findings with what the user shared. Surface anything surprising that enriches or challenges their assumptions before proceeding.

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.

Stages

#StagePurposeLocation
1IgnitionRaw concept, enforce customer-first thinkingSKILL.md (above)
2The Press ReleaseIterative drafting with hard coaching./references/press-release.md
3Customer FAQDevil's advocate customer questions./references/customer-faq.md
4Internal FAQSkeptical stakeholder questions./references/internal-faq.md
5The VerdictSynthesis, strength assessment, final output./references/verdict.md

© delorenj, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 9 other files (references, assets) in .agent/skills/bmad-prfaq of delorenj/mcp-server-trello.

  • SKILL.md
  • agents/artifact-analyzer.md
  • agents/web-researcher.md
  • assets/prfaq-template.md
  • bmad-manifest.json
  • customize.toml
  • references/customer-faq.md
  • references/internal-faq.md
  • references/press-release.md
  • references/verdict.md

Open the folder on GitHubat commit 737292f

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in delorenj/mcp-server-trello, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Bmad Prfaq next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Bmad Prfaq compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bmad Prfaq this skilldelorenj/mcp-server-trello4451 repos~2.7kAutomated safety check: PassMIT
Geb Identification Strategyfranklee16/academic-research-skills2231 repos~1kAutomated safety check: PassNone
Writing Livekit Scenarioslivekit-examples/agent-starter-python2641 repos~2.5kAutomated safety check: PassMIT
Go Testingcxuu/golang-skills1731 repos~1.3kAutomated safety check: PassApache-2.0
Goalcraftgrp06/goalcraft102—~3.8kAutomated safety check: PassMIT
Thinking Partnermattnowdev/thinking-partner206—~4.4kAutomated safety check: PassMIT

Similar skills

  • Geb Identification Strategy

    franklee16/academic-research-skills

    A skill your agent uses when the analytical core of a Games and Economic Behavior (GEB) manuscript is the bottleneck — assumptions, theorem statements, proof exposition, and generality for a…

    223 GitHub starsUsed in 1 repo~1k tokens
    Testing & QAAuto-check passed
  • Writing Livekit Scenarios

    livekit-examples/agent-starter-python

    Creates and maintains the scenarios a LiveKit agent simulation runs, and wires the agent to consume them.

    264 GitHub starsUsed in 1 repo~2.5k tokens
    Testing & QAAuto-check passed
  • Go Testing

    cxuu/golang-skills

    A skill your agent uses when writing, reviewing, or improving Go test code — including table-driven tests, subtests, parallel tests, test helpers, test doubles, and assertions with cmp.Diff.

    173 GitHub starsUsed in 1 repo~1.3k tokens
    Testing & QAAuto-check passed
  • Goalcraft

    grp06/goalcraft

    Turn a rough draft, vague ambition, or messy task brief into a powerful Codex /goal objective for persistent, evidence-checked work.

    102 GitHub stars~3.8k tokensUpdated 4 mo ago
    Testing & QAAuto-check passed
  • Thinking Partner

    mattnowdev/thinking-partner

    A deterministic thinking partner that challenges assumptions and applies mental models to sharpen decisions, solve problems, and think more clearly.

    206 GitHub stars~4.4k tokensUpdated 6 mo ago
    Testing & QAAuto-check passed
  • Vision

    kunchenguid/vision

    Draft and stress-test a VISION.md for a repository, then iterate with the author on an interactive review board until approved.

    331 GitHub stars~2.9k tokensUpdated 1 mo ago
    Testing & QAAuto-check passed

More from delorenj/mcp-server-trello

All 64 skills in this repo
  • Bmad Distillator

    delorenj/mcp-server-trello

    Lossless LLM-optimized compression of source documents. An agent skill from delorenj/mcp-server-trello.

    445 GitHub starsUsed in 5 repos~2.2k tokens
    Auto-check passed
  • Bmad Deep Recon

    delorenj/mcp-server-trello

    Decision-grade research, three ways: draft a deep-research prompt for the user to run in their own tool (ChatGPT, Gemini, Grok, Perplexity, …), process a finished research report — file it, distill…

    445 GitHub stars~2.3k tokensUpdated 17 days ago
    Auto-check passed
  • Bmad Customize

    delorenj/mcp-server-trello

    Authors and updates customization overrides for installed BMad skills.

    445 GitHub starsUsed in 3 repos~1.7k tokens
    Auto-check passed
  • Openai Docs

    delorenj/mcp-server-trello

    A skill your agent uses when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help…

    445 GitHub stars~5.7k tokensUpdated 17 days ago
    Auto-check passed
  • Bmad Architecture

    delorenj/mcp-server-trello

    Produce the architecture: a lean spine of invariants that keeps everything built from it consistent, projected into whatever format the work needs.

    445 GitHub starsUsed in 1 repo~3.5k tokens
    Auto-check passed
  • Bmad Brainstorming

    delorenj/mcp-server-trello

    Facilitate a brainstorming session using diverse creative techniques.

    445 GitHub starsUsed in 1 repo~2.4k tokens
    Auto-check passed

Questions about Bmad Prfaq

What does Bmad Prfaq do?

Working Backwards PRFAQ challenge that stress-tests a product concept customer-first. Bmad Prfaq is an agent skill from delorenj/mcp-server-trello. Working Backwards PRFAQ challenge that stress-tests a product concept customer-first.

When should I use Bmad Prfaq?

Bmad Prfaq fits situations like: the user requests to create a PRFAQ; run the PRFAQ challenge.

How do I install Bmad Prfaq in Claude Code?

Run `npx skills add delorenj/mcp-server-trello --skill bmad-prfaq -a claude-code`. Or copy the skill folder (.agent/skills/bmad-prfaq in delorenj/mcp-server-trello) into .claude/skills/bmad-prfaq in your project. Claude Code loads it when a task matches its description.

How do I install Bmad Prfaq in Codex?

Run `npx skills add delorenj/mcp-server-trello --skill bmad-prfaq -a codex`. Or copy the skill folder (.agent/skills/bmad-prfaq in delorenj/mcp-server-trello) into .agents/skills/bmad-prfaq in your project. Codex loads it when a task matches its description.

Can I use Bmad Prfaq in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add delorenj/mcp-server-trello --skill bmad-prfaq -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bmad-prfaq, .gemini/skills/bmad-prfaq, .github/skills/bmad-prfaq and .opencode/skills/bmad-prfaq in your project.

What does Bmad Prfaq need to run?

Going by SKILL.md and its folder, Bmad Prfaq needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Bmad Prfaq access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Bmad Prfaq safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Bmad Prfaq use?

Bmad Prfaq is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bmad Prfaq use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.1k tokens, read only when the agent opens those files.

What are the alternatives to Bmad Prfaq?

Skills that share tags, products or a category with Bmad Prfaq: Geb Identification Strategy (franklee16/academic-research-skills, 223 stars), Writing Livekit Scenarios (livekit-examples/agent-starter-python, 264 stars), Go Testing (cxuu/golang-skills, 173 stars) and Goalcraft (grp06/goalcraft, 102 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bmad Prfaq?

delorenj (a GitHub user) maintains it in delorenj/mcp-server-trello, which has 445 GitHub stars. The repository holds 64 skills in this directory. The repository was last updated on September 23, 2026.

Source: delorenj/mcp-server-trello on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.