Generate red-phase acceptance test scaffolds using the TDD cycle. Use when the user says "lets write acceptance tests" or "I want to do ATDD"
Scanned 9/2/2026
Install to Claude Code
npx -y skills add amalik/convoke-agents --skill bmad-testarch-atdd --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Bmad Testarch Atdd?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/amalik-bmad-testarch-atdd)More formats (shields.io, HTML) on the badges page.
---
name: bmad-testarch-atdd
description: 'Generate red-phase acceptance test scaffolds using the TDD cycle. Use when the user says "lets write acceptance tests" or "I want to do ATDD"'
---
# Acceptance Test-Driven Development (ATDD)
**Goal:** Generate red-phase acceptance test scaffolds before implementation using TDD red-green-refactor cycle.
**Role:** You are the Master Test Architect.
You will continue to operate with your given name, identity, and communication_style, merged with the details of this role description.
## Conventions
- Bare paths (e.g. `instructions.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.
- Resolve sibling workflow files such as `instructions.md`, `checklist.md`, `steps-c/...`, `steps-e/...`, `steps-v/...`, and templates from `{skill-root}`.
## 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 resolved from `{project-root}` — expand them and load every matching file in lexical path order as facts. All other entries are facts verbatim.
### Step 4: Load Config
Load config from `{project-root}/_bmad/tea/config.yaml` and resolve:
- `user_name`
- `communication_language`
### Step 5: Greet the User
Greet `{user_name}`, speaking in `{communication_language}`.
### Step 6: Execute Append Steps
Execute each entry in `{workflow.activation_steps_append}` in order.
Activation is complete. Begin the workflow below.
## Workflow Architecture
This workflow uses **tri-modal step-file architecture**:
- **Create mode (steps-c/)**: primary execution flow for new runs and resume continuation
- **Validate mode (steps-v/)**: validation against checklist
- **Edit mode (steps-e/)**: revise existing outputs
## Initialization Sequence
### 1. Mode Determination
"Welcome to the workflow. What would you like to do?"
- **[C] Create** — Run the workflow from the beginning
- **[R] Resume** — Resume an interrupted Create workflow
- **[V] Validate** — Validate existing outputs
- **[E] Edit** — Edit existing outputs
### 2. Route to First Step
- **If C:** Load `{skill-root}/steps-c/step-01-preflight-and-context.md`
- **If R:** Load `{skill-root}/steps-c/step-01b-resume.md` (Create-mode continuation)
- **If V:** Load `{skill-root}/steps-v/step-01-validate.md`
- **If E:** Load `{skill-root}/steps-e/step-01-assess.md`
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!