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Bmad Init

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aj-geddes
bmad-init

Initialize a BMAD planning workspace: pick a scale-adaptive TRACK (Quick Flow / BMad Method / Enterprise) interactively, then scaffold the output folder, a config file, an empty decision-log.md, and a project-context.md "constitution". Use when the user says "initialize BMAD", "set up BMAD", "start a new BMAD project", "scaffold the planning workspace", "bmad init", "create the bmad config", or is beginning planning and has no bmad-output/ folder yet. Also use when the user asks "which track should I use?" or "what scale is my project?". This is the FIRST skill to run before any other planning workflow (brief, PRD, architecture, stories).

Overview

Publisheraj-geddes
Repositoryclaude-code-bmad-skills
Skill namebmad-init
Stars
492
Forks
77
Bundled files
6
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.

  • 6 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 Init 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-init
  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-init .claude/skills/bmad-init
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bmad Init 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 Init 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 Init 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 Init — Workspace Scaffolder

Set up the planning workspace and choose the TRACK that scales the rest of the BMAD planning workflows. This is a planning skill: it creates folders and seed documents only. It never writes application code, runs tests, or builds anything.

What it produces

Under the configured output folder (default bmad-output/):

bmad-output/
├── config.yaml          # project name, track, output paths, languages
├── decision-log.md      # empty threaded decision log (grows across workflows)
├── project-context.md   # the project "constitution" loaded by every later skill
└── stories/             # empty; future story files land here

config.yaml is the single source of truth other skills read to find the output folder and the chosen track.

The three TRACKS (never numbered Levels)

TrackStory countPlanning artifacts
Quick Flow1–15 storiestech-spec only
BMad Method10–50+ storiesPRD + Architecture (+ optional UX)
Enterprise30+ storiesPRD + Architecture + Security + DevOps planning

The track is a planning-need decision, not a points/velocity decision. Story count is a rough signal only; let scope, cross-team coordination, and risk drive the call. A heuristic may suggest a default — the user always confirms.

Workflow

  1. Check for an existing workspace. Glob for bmad-output/config.yaml (or a custom output folder if the user names one). If it exists, read it and ask whether to keep, re-run idempotently (safe — existing files are preserved), or change the track. Do not clobber a populated decision-log.md or project-context.md.

  2. Gather rough scope signals in conversation (don't interrogate):

    • One-line project description.
    • Roughly how many distinct pieces of work / stories? (ranges are fine)
    • Multiple teams or just one builder?
    • Hard compliance / security / infra requirements?
  3. Suggest a track. Run the helper to print the three tracks and a suggested default, then state your recommendation and ask the user to confirm or override:

    bash
    bash "${CLAUDE_PLUGIN_ROOT}/skills/bmad-init/scripts/select-track.sh" --stories <N> --teams <one|many> --compliance <yes|no>

    Heuristic the helper applies (you may reason past it):

    • compliance/infra = yes, or 30+ stories → Enterprise
    • 10+ stories, or PRD/architecture clearly needed → BMad Method
    • otherwise → Quick Flow
  4. Scaffold. Once the user confirms name + track, run:

    bash
    bash "${CLAUDE_PLUGIN_ROOT}/skills/bmad-init/scripts/init-project.sh" \
      --name "<project name>" \
      --track <quick-flow|bmad-method|enterprise> \
      --output "bmad-output"

    The script is idempotent: it creates missing folders and seeds any missing template files, but never overwrites decision-log.md or project-context.md if they already contain content. It always (re)writes config.yaml.

  5. Open the constitution. Walk the user through filling the first sections of project-context.md (project goal, primary users, constraints, non-goals). This is the document every downstream skill loads, so a few good sentences here pay off. Record the track choice and rationale as the first entry in decision-log.md.

  6. Hand off. Recommend the next planning step based on track:

    • Quick Flow → tech-spec, then sprint-planning / story creation.
    • BMad Method → product brief → PRD → architecture.
    • Enterprise → product brief → PRD → architecture (+ security & DevOps planning).

Three intents

  • Create — fresh workspace (the common case).
  • Update — change the track or rename the project: edit config.yaml and append the change to decision-log.md with a date and reason. Do not wipe other files.
  • Validate — confirm the workspace is well-formed:
    bash
    bash "${CLAUDE_PLUGIN_ROOT}/skills/bmad-init/scripts/init-project.sh" --validate --output "bmad-output"

Guardrails

  • No numbered Levels anywhere — only the three named tracks.
  • No story points, velocity, burndown. Delivery is count-based (stories remaining / completion rate). Story sizing target: small enough for one agent session (~2–8h); split anything larger.
  • This skill stops at scaffolding. It hands off to other planning skills; it never implements, tests, lints, or builds.

See REFERENCE.md for the full config schema, track decision detail, and the project-context section guide.


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-init. 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 Init AI skill do?

Initialize a BMAD planning workspace: pick a scale-adaptive TRACK (Quick Flow / BMad Method / Enterprise) interactively, then scaffold the output folder, a config file, an empty decision-log.md, and a project-context.md "constitution". Use when the user says "initialize BMAD", "set up BMAD", "start a new BMAD project", "scaffold the planning workspace", "bmad init", "create the bmad config", or is beginning planning and has no bmad-output/ folder yet. Also use when the user asks "which track should I use?" or "what scale is my project?". This is the FIRST skill to run before any other plann...

Why use Bmad Init on TypingMind?

Because you install it once and use it with any model. Bmad Init 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 Init 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-init. 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 Init?

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 Init?

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

Is the Bmad Init 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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