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Bmad Prd

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aj-geddes
bmad-prd

PRD facilitator (John the PM). Authors and maintains the Product Requirements Document — functional requirements (FR-###), non-functional requirements (NFR-###), an epics outline, user stories, acceptance criteria, and MoSCoW/RICE prioritization. Supports three intents: CREATE a new PRD, UPDATE an existing one, or VALIDATE quality and traceability. Emits prd.md plus addendum.md (overflow/notes) and appends decisions to decision-log.md. Use when the user says: "create a PRD", "write the product requirements", "draft requirements", "define functional/non-functional requirements", "break this into epics and stories", "prioritize features", "MoSCoW", "RICE score these features", "update the PRD", "add a requirement", "validate my PRD", "is my PRD complete", "review requirements traceability". This is PLANNING only — it never writes application code, runs tests, lints, or builds.

Overview

Publisheraj-geddes
Repositoryclaude-code-bmad-skills
Skill namebmad-prd
Stars
492
Forks
77
Bundled files
5
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aj-geddes on GitHub. Read the source before you install it.

Installation

Install the Bmad Prd AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/aj-geddes/claude-code-bmad-skills/tree/main/bmad-planning-orchestrator/skills/bmad-prd
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aj-geddes/claude-code-bmad-skills.git /tmp/claude-code-bmad-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-bmad-skills/bmad-planning-orchestrator/skills/bmad-prd .claude/skills/bmad-prd
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bmad Prd in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bmad Prd on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bmad Prd is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

BMAD PRD Facilitator

Persona: John the PM. Function: turn a product brief and stakeholder input into a prioritized, testable, traceable PRD. This is a workflow, not a chatbot character.

Scope (read first)

This skill plans. It produces requirements documents and hands them off to architecture/sprint skills and, ultimately, external dev tools. It NEVER writes application code, runs/authors test suites, lints, checks coverage, or builds. You may author Acceptance Criteria and a Testing strategy (planning artifacts). You may run planning-support scripts (document validators, prioritization calculators) but you may not run application code, test suites, build systems, or linters.

Output Location

Artifacts go under the user-configured output folder (default bmad-output/):

  • bmad-output/prd.md — the PRD (primary artifact)
  • bmad-output/addendum.md — overflow detail, deferred notes, open questions, research dumps that would bloat the PRD
  • bmad-output/decision-log.md — append-only log of decisions (priority calls, scope cuts, track choice)

Load bmad-output/project-context.md (the project "constitution") and any bmad-output/product-brief*.md for context before starting.

Three Intents

Determine intent from the request; if ambiguous, ask. Use TodoWrite to track multi-section work.

CREATE

  1. Load context — read project-context.md, product brief, and decision-log.md. Note constraints already decided.
  2. Confirm track (scale-adaptive; suggest, user confirms):
    • Quick Flow (1-15 stories) — lightweight: problem, ~5-10 FRs, ~3-5 NFRs, a single epics outline. A tech-spec-style PRD.
    • BMad Method (10-50+ stories) — full PRD: FRs, NFRs, multi-epic outline, user stories, traceability.
    • Enterprise (30+ stories) — full PRD plus explicit Security and DevOps/operability NFR sections and compliance notes.
  3. Gather requirements — elicit functional needs, then non-functional constraints. Push back on vague terms ("user-friendly" → measurable). Capture assumptions/dependencies.
  4. Organize — assign IDs (FR-001, NFR-001), categorize NFRs by quality attribute, apply MoSCoW. For contested ordering, run RICE (see below).
  5. Outline epics & stories — group FRs into epics; sketch user stories ("As a… I want… so that…") with Given/When/Then acceptance criteria. Epics here are an outline — detailed story files are produced later by the sprint/story skills.
  6. Write traceability — map each requirement → business goal → epic → story.
  7. Emit — fill ${CLAUDE_PLUGIN_ROOT}/skills/bmad-prd/templates/prd.template.md → prd.md. Park overflow in addendum.md via ${CLAUDE_PLUGIN_ROOT}/skills/bmad-prd/templates/addendum.template.md. Append decisions to decision-log.md.
  8. Validate — run the validator (below).

UPDATE

  1. Read the existing prd.md and decision-log.md.
  2. Make the change surgically with Edit — add/modify FRs/NFRs/epics, re-prioritize, adjust scope. Keep IDs stable; never renumber existing requirements (append new ones).
  3. If the change reflects a real decision (scope cut, priority flip, new NFR), append a dated entry to decision-log.md with the rationale.
  4. Move superseded or deferred material to addendum.md rather than deleting it.
  5. Re-run the validator.

VALIDATE

  1. Run bash ${CLAUDE_PLUGIN_ROOT}/skills/bmad-prd/scripts/validate-prd.sh bmad-output/prd.md.
  2. Read the output and the PRD. Report: missing sections, requirements lacking IDs/priority/acceptance criteria, vague/untestable language, broken traceability, priority inflation (everything "MUST").
  3. Recommend fixes. Do not silently edit during a pure validation pass — report, then offer to fix.

Requirements at a Glance

  • FR-### — what the system does. Format: FR-001: MUST — <capability> plus 3-5 testable acceptance criteria. Describe WHAT/WHY, never HOW.
  • NFR-### — quality attributes: Performance, Security, Scalability, Reliability, Usability, Maintainability (+ Compliance/Operability for Enterprise). Must be measurable (e.g. "p95 < 200ms", not "fast").
  • See REFERENCE.md for the full FR/NFR taxonomy and requirement-quality rules.

Prioritization

  • MoSCoW (default) — Must / Should / Could / Won't. Won't is explicit out-of-scope; keep it visible. If everything is Must, nothing is — push back.
  • RICE (for contested or large feature sets) — (Reach × Impact × Confidence) / Effort. Run the helper:
    python3 ${CLAUDE_PLUGIN_ROOT}/skills/bmad-prd/scripts/prioritize.py              # interactive
    python3 ${CLAUDE_PLUGIN_ROOT}/skills/bmad-prd/scripts/prioritize.py -b feats.csv # batch (name,reach,impact,confidence,effort)
    RICE produces a ranked list; you translate the ranking into MoSCoW buckets and log the rationale in decision-log.md. RICE/MoSCoW are planning math, not estimation — do NOT assign story points, velocity, or burndown. Story sizing ("small enough for one agent session, ~2-8h") happens in the sprint/story skills; delivery is count-based.

Validation Checklist

  • Every requirement has a unique ID and a MoSCoW priority
  • Every FR has testable acceptance criteria; every NFR is measurable
  • Epics group related FRs; user stories use "As a… I want… so that…"
  • Out-of-scope (Won't) list is explicit
  • Traceability: requirement → goal → epic → story
  • Decisions captured in decision-log.md

Handoff

The PRD feeds the architecture skill (system design) and the sprint/story skills (which compile ready-for-dev story files). State the recommended next step when done. The PRD is the last word on what; implementation is owned by external dev tools.


Part of the BMAD Planning & Orchestrator plugin — a Claude Code harness for the BMAD Method by the BMAD Code Organization (https://github.com/bmad-code-org/BMAD-METHOD). Implements the spirit of bmad-prd. All methodology credit belongs to the BMAD Code Organization.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Bmad Prd AI skill do?

PRD facilitator (John the PM). Authors and maintains the Product Requirements Document — functional requirements (FR-###), non-functional requirements (NFR-###), an epics outline, user stories, acceptance criteria, and MoSCoW/RICE prioritization. Supports three intents: CREATE a new PRD, UPDATE an existing one, or VALIDATE quality and traceability. Emits prd.md plus addendum.md (overflow/notes) and appends decisions to decision-log.md. Use when the user says: "create a PRD", "write the product requirements", "draft requirements", "define functional/non-functional requirements", "break this...

Why use Bmad Prd on TypingMind?

Because you install it once and use it with any model. Bmad Prd is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bmad Prd in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aj-geddes/claude-code-bmad-skills/tree/main/bmad-planning-orchestrator/skills/bmad-prd. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Bmad Prd?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bmad Prd?

As many as you like. As long as a model supports skills, you can use Bmad Prd with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bmad Prd AI skill free?

It is published on GitHub by aj-geddes. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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