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Bmad Help

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aj-geddes
bmad-help

Orchestration spine and "what do I do next?" router for the BMAD Planning & Orchestrator plugin. Detects current planning state by scanning the output folder for which artifacts exist (project-context.md, decision-log.md, product-brief, prd/tech-spec, architecture, ux, epics, stories), infers the current phase and track, then recommends the next BMAD skill to run — skipping optional phases (Analysis is always optional; UX only when there is a UI). Use when the user asks "what's next", "what do I do next", "where am I", "what's my status", "continue", "resume planning", "which skill should I run", "what BMAD step is next", or types "/bmad-help" / "/status". Auto-invoke at the start of any BMAD planning session to orient. This skill ROUTES only — it never writes planning documents itself.

Overview

Publisheraj-geddes
Repositoryclaude-code-bmad-skills
Skill namebmad-help
Stars
492
Forks
77
Bundled files
3
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.

  • 3 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 Help 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-help
  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-help .claude/skills/bmad-help
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bmad Help 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 Help 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 Help 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 Help — Orchestration Spine

A lean router. It answers one question: what do I run next? It detects planning state, infers the phase and track, and points to the next skill. It is auto-invoked to orient a session and replaces a heavyweight master/orchestrator agent.

This skill produces NO planning documents. It reads state and recommends. All artifacts are produced by the specialized planning skills it routes to.

When to use

  • User asks "what's next", "where am I", "what's my status", "continue", "resume".
  • Start of any BMAD session, to orient before doing planning work.
  • User is unsure which skill to invoke.

Phase Map

Analysis  ──►  Planning  ──►  Solutioning  ──►  Implementation-handoff
(optional)     (required)     (conditional)     (required: ready-for-dev stories)
PhaseArtifact(s)Skill
Analysis (optional)product-brief, research, brainstormbmad-product-brief / bmad-research / bmad-brainstorm
Planning (required)prd.md OR tech-spec.md, epics.mdbmad-prd / bmad-tech-spec / bmad-epics-and-stories
Planning — UX (only if UI)ux-design.mdbmad-ux
Solutioning (track-dependent)architecture.mdbmad-architecture
Implementation-handoff (required){epic}.{story}.{slug}.story.md (ready-for-dev)bmad-epics-and-stories → bmad-sprint-planning

Threaded across every phase: project-context.md (the project "constitution") and decision-log.md (decisions carried between workflows). If these are missing, the first recommendation is always to establish them.

Implementation itself (writing code, running tests) is OUT OF SCOPE. The last artifact this plugin produces is a ready-for-dev story file or handoff manifest, passed to an external dev tool.

Tracks (scale-adaptive — never numbered levels)

A heuristic may suggest a track from story count; the user confirms.

TrackScopeRequired planningOptional
Quick Flow1–15 storiestech-spec + storiesanalysis, ux
BMad Method10–50+ storiesprd + architecture + epics + storiesanalysis; ux (if UI)
Enterprise30+ storiesprd + architecture + security + devops + epics + storiesanalysis

Per-track required vs optional steps in detail: see REFERENCE.md.

How it works

  1. Detect state. Run the detector to list which artifacts exist and the inferred phase:

    bash
    bash ${CLAUDE_PLUGIN_ROOT}/skills/bmad-help/scripts/detect-state.sh [output-folder]

    Default output folder is bmad-output/. It prints a checklist of artifacts (present or missing), the detected track (from decision-log if recorded), and the inferred phase.

  2. Recommend next. Map the detected state to the next skill:

    bash
    bash ${CLAUDE_PLUGIN_ROOT}/skills/bmad-help/scripts/recommend-next.sh [output-folder]

    It prints the single next skill to run, plus why, plus any skipped optional phases.

  3. Present the recommendation to the user in plain prose. Offer to invoke the recommended skill. Do not auto-run planning skills without confirmation when the track is still ambiguous.

If project-context.md does not exist yet, treat the project as un-initialized: the recommendation is to start with bmad-init (or bmad-product-brief if the user wants the optional Analysis phase first) to establish project context and choose a track.

Routing logic (summary)

Evaluate in order; recommend the first unmet step for the active track.

  1. No project-context.md → establish project context (run bmad-init, or bmad-product-brief if the user opts into Analysis). Confirm the track.
  2. No prd.md and no tech-spec.md →
    • Quick Flow → bmad-tech-spec (tech-spec).
    • BMad Method / Enterprise → bmad-prd (PRD).
  3. Project has a UI and no ux-design.md (BMad/Enterprise) → bmad-ux.
  4. Track needs architecture and no architecture.md (BMad/Enterprise) → bmad-architecture. (Quick Flow skips architecture.)
  5. Enterprise and no security/devops planning → bmad-architecture (security + devops sections / handoff).
  6. No epics.md (BMad/Enterprise) → bmad-epics-and-stories (epic breakdown).
  7. No story files under stories/ → bmad-epics-and-stories (create ready-for-dev stories).
  8. Stories exist but some are still backlog/not ready-for-dev → bmad-epics-and-stories (finish compiling story context objects); then bmad-sprint-planning to sequence waves.
  9. All required artifacts present and stories are ready-for-dev → handoff complete. Recommend handing the stories to the external dev tool. Nothing left to plan.

Skipping rules: Analysis is always optional — never block on it. UX is recommended only when the project has a UI. Architecture is skipped for Quick Flow.

Full decision table with edge cases: REFERENCE.md.

Notes for Claude

  • This is the entry point. Always detect state before recommending.
  • Recommend exactly ONE next skill. Keep it actionable.
  • Never produce planning documents here — route to the owning skill.
  • Never recommend running tests, builds, linters, or writing code — that is out of scope for this plugin entirely.
  • Respect locked sections: Acceptance Criteria, Dev Notes, and Testing in story files are owned by planning skills and must not be edited downstream.
  • Use decision-log.md to read the confirmed track; if absent, ask the user to confirm the track before recommending track-specific steps.

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-help. 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 Help AI skill do?

Orchestration spine and "what do I do next?" router for the BMAD Planning & Orchestrator plugin. Detects current planning state by scanning the output folder for which artifacts exist (project-context.md, decision-log.md, product-brief, prd/tech-spec, architecture, ux, epics, stories), infers the current phase and track, then recommends the next BMAD skill to run — skipping optional phases (Analysis is always optional; UX only when there is a UI). Use when the user asks "what's next", "what do I do next", "where am I", "what's my status", "continue", "resume planning", "which skill should I...

Why use Bmad Help on TypingMind?

Because you install it once and use it with any model. Bmad Help 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 Help 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-help. 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 Help?

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 Help?

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

Is the Bmad Help 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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