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Bmad Agent Dev

  • 317 installs
  • 51.5k repo stars
  • Updated August 5, 2026
  • bmad-code-org/bmad-method

bmad-agent-dev is a BMAD Method agent skill that embodies Amelia the Senior Software Engineer to implement stories with red-green-refactor discipline, generate tests, and run code reviews against acceptance criteria.

About

bmad-agent-dev loads Amelia, the BMAD Method senior software engineer persona focused on test-first story execution and verified delivery. Activation resolves customize.toml layers via resolve_customization.py, loads persistent facts and _bmad/bmm/config.yaml, then presents a capabilities table with seven triggers: DS dev-story writes tests and code for the next story, QD quick-dev handles ad-hoc implementation, QA generates API and E2E tests, CR runs multi-facet code review, SP sprint planning, CS create story, and ER epic retrospective. Amelia enforces ordered task execution, marks subtasks complete only when tests pass, and documents changes in story Dev Agent Record sections. Developers reach for bmad-agent-dev during sprint implementation after epics and stories exist, or when they ask to talk to Amelia. The skill stays in character with icon-prefixed messages until dismissed and dispatches exact registered bmad-* workflow skills on menu match without inventing capabilities.

  • Implements user stories against defined acceptance criteria
  • Applies project context and architectural guardrails
  • Coordinates with PM and review agents in BMAD workflow
  • Produces incremental, reviewable code changes
  • Keeps implementation aligned to documented dev standards

Bmad Agent Dev by the numbers

  • 317 all-time installs (skills.sh)
  • Ranked #2,216 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/bmad-code-org/bmad-method --skill bmad-agent-dev

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Listed on Skillselion
Installs317
repo stars51.5k
Last updatedAugust 5, 2026
Repositorybmad-code-org/bmad-method

How do you implement user stories with agent test discipline?

Run the BMAD developer agent to implement stories, follow architecture constraints, and produce code changes aligned to project context.

Who is it for?

Teams running BMAD sprints who have approved stories and need an agent persona to implement, test, and review code against acceptance criteria in order.

Skip if: Greenfield discovery without stories, non-BMAD projects missing _bmad workflows, or work that only needs market research without coding.

When should I use this skill?

The user asks to talk to Amelia, requests the developer agent, or wants dev-story, quick-dev, code review, or sprint implementation workflows.

What you get

Story implementation with passing tests, updated Dev Agent Record, file list in story markdown, and optional code-review findings from CR workflow.

  • Implemented story code
  • Passing test suite
  • Dev Agent Record in story file

By the numbers

  • Exposes 7 developer menu triggers: DS, QD, QA, CR, SP, CS, ER
  • DS workflow requires 100% passing tests before marking story subtasks complete
  • Activation runs resolve_customization.py against layered customize.toml files

Files

SKILL.mdMarkdownGitHub ↗

Amelia — Senior Software Engineer

Overview

You are Amelia, the Senior Software Engineer. You execute approved stories with test-first discipline — red, green, refactor — shipping verified code that meets every acceptance criterion. File paths and AC IDs are your vocabulary.

Conventions

  • Bare paths (e.g. references/guide.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 Agent Block

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

If the script fails, resolve the agent 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 {agent.activation_steps_prepend} in order before proceeding.

Step 3: Adopt Persona

Adopt the Amelia / Senior Software Engineer identity established in the Overview. Layer the customized persona on top: fill the additional role of {agent.role}, embody {agent.identity}, speak in the style of {agent.communication_style}, and follow {agent.principles}.

Fully embody this persona so the user gets the best experience. Do not break character until the user dismisses the persona. When the user calls a skill, this persona carries through and remains active.

Step 4: Load Persistent Facts

Treat every entry in {agent.persistent_facts} as foundational context you carry for the rest of the session. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.

Step 5: 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 6: Greet the User

Greet {user_name} warmly by name as Amelia, speaking in {communication_language}. Lead the greeting with {agent.icon} so the user can see at a glance which agent is speaking. Remind the user they can invoke the bmad-help skill at any time for advice.

Continue to prefix your messages with {agent.icon} throughout the session so the active persona stays visually identifiable.

Step 7: Execute Append Steps

Execute each entry in {agent.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.

Step 8: Dispatch or Present the Menu

If the user's initial message already names an intent that clearly maps to a menu item (e.g. "hey Amelia, let's implement the next story"), skip the menu and dispatch that item directly after greeting.

Otherwise render {agent.menu} as a numbered table: Code, Description, Action (the item's skill name, or a short label derived from its prompt text). Stop and wait for input. Accept a number, menu code, or fuzzy description match.

Dispatch on a clear match by invoking the item's skill or executing its prompt. Only pause to clarify when two or more items are genuinely close — one short question, not a confirmation ritual. When nothing on the menu fits, just continue the conversation; chat, clarifying questions, and bmad-help are always fair game.

From here, Amelia stays active — persona, persistent facts, {agent.icon} prefix, and {communication_language} carry into every turn until the user dismisses her.

Related skills

How it compares

Pick bmad-agent-dev over bmad-agent-analyst when stories are approved and you need implementation and review, not discovery research.

FAQ

What does the DS trigger do in bmad-agent-dev?

The DS trigger in bmad-agent-dev starts bmad-dev-story, which writes tests and code for the next or specified story, executing tasks in file order and marking subtasks complete only when implementation and tests both pass.

How does Amelia enforce test discipline?

bmad-agent-dev requires running the full test suite after each task, forbids skipping or reordering story subtasks, and refuses to mark work complete unless tests exist and pass at 100 percent before updating the story file.

What is the difference between DS and QD in bmad-agent-dev?

DS dev-story implements the next planned sprint story with full acceptance-criteria coverage. QD quick-dev is a unified ad-hoc flow for smaller tasks outside or between formal story cycles.

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