bmad-orchestrator▌
supercent-io/skills-template · updated Apr 8, 2026
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bmad-orchestrator — BMAD Workflow Orchestration with SSD
When to use this skill
- Initializing BMAD in a new project (with or without SSD)
- Running structured TEA cycles within each BMAD phase
- Checking and resuming BMAD/SSD workflow status
- Routing work across Analysis, Planning, Solutioning, and Implementation
- Managing structured handoff and cross-phase traceability between phases
What is SSD (Structured System Design)?
SSD is a meta-framework that embeds TEA cycles within each BMAD phase, transforming phase execution from "produce a document" into a structured loop:
T → Task: Decompose the phase into concrete tasks with assigned agents
E → Execute: Run tasks in parallel via multi-agent team execution
A → Architect: Validate outputs for coherence, completeness, and cross-phase traceability
Each BMAD phase becomes an independent TEA cycle. The architect validation step produces a PASS, PASS_WITH_WARNINGS, REVISE, or FAIL verdict. Only after PASS (or PASS_WITH_WARNINGS) does the human review gate (plannotator) open. This ensures automated structural correctness before human review.
SSD vs. Standard BMAD
| Aspect | Standard BMAD | BMAD + SSD |
|---|---|---|
| Phase execution | Document production (opaque) | TEA cycle: Decompose → Execute → Validate |
| Task decomposition | None | Explicit per-phase task lists with agent assignments |
| Execution surface | Manual / single-agent | Multi-agent Team execution (/team) |
| Validation | Human plannotator review | Automated architect review → then plannotator |
| Cross-phase traceability | None | Requirement coverage matrix per phase transition |
| State tracking | bmm-workflow-status.yaml |
+ .omc/state/ssd-state.json with task-level granularity |
Installation
npx skills add https://github.com/akillness/oh-my-skills --skill bmad-orchestrator
Notes for Codex Usage
bmad-orchestrator's default execution path is Claude Code.
To run the same flow directly in Codex, we recommend operating BMAD stages via a higher-level orchestration path such as omx/ohmg.
Control Model
BMAD phase routing uses the same three-layer abstraction as JEO:
settings: platform-specific runtime configuration such as Claude hooks, Codex/Gemini instructions, and MCP setuprules: phase constraints such as "do not advance before the current phase document is approved" and "do not reopen the same unchanged phase document for review"hooks: platform callbacks such as ClaudeExitPlanMode, Codexnotify, or GeminiAfterAgent
For BMAD phase gates, the intended rule is strict:
- Review the current phase document before moving forward
- If the document hash has not changed since the last terminal review result, do not relaunch plannotator
- Only a revised document resets the gate and permits another review cycle
- With SSD: plannotator gate requires
architect_verdict: "PASS"or"PASS_WITH_WARNINGS"inssd-state.jsonbefore opening
Platform Support Status
| Platform | Current support mode | Requirements |
|---|---|---|
| Gemini CLI | Native (recommended) | Register the bmad keyword, then run /workflow-init |
| Claude Code | Native (recommended) | Install skill + remember pattern |
| OpenCode | Orchestration integration | Use an omx/ohmg-style bridge |
| Codex | Orchestration integration | Use an omx/ohmg-style bridge |
Standard BMAD Commands
/workflow-init [--ssd]
/workflow-status
Typical flow:
- Run
/workflow-initto bootstrap BMAD config (add--ssdto also initialize SSD state). - Move through phases: Analysis → Planning → Solutioning → Implementation.
- Run
/workflow-statusany time to inspect current phase and progress.
| Action | Command |
|---|---|
| Initialize BMAD | /workflow-init |
| Initialize BMAD + SSD | /workflow-init --ssd |
| Check BMAD/SSD status | /workflow-status |
SSD Commands (TEA Integration)
Use these commands to run structured TEA cycles within each BMAD phase:
| Command | TEA Step | Purpose |
|---|---|---|
/ssd-init |
Setup | Initialize .omc/state/ssd-state.json alongside BMAD (called automatically by /workflow-init --ssd) |
/ssd-decompose |
Task | Decompose current phase into concrete tasks with agent assignments |
/ssd-execute |
Execute | Dispatch decomposed tasks to agents via /team (multi-agent parallel execution) |
/ssd-validate |
Architect | Validate phase outputs for coherence, completeness, and cross-phase traceability |
/ssd-cycle |
T+E+A | Run the full TEA cycle for the current phase (decompose → execute → validate) |
/ssd-advance |
Transition | Advance to next phase after TEA cycle passes architect validation |
/ssd-status |
Status | Show SSD-enriched status: phase + TEA step + task progress + validation verdict |
SSD Full Flow
/workflow-init --ssd
|
v
┌─────────────────────────────────────────────────────┐
│ PHASE N TEA CYCLE │
│ │
│ /ssd-decompose (or /ssd-cycle for full auto) │
│ | │
│ v │
│ [T] Task decomposition │
│ planner/analyst produces task list │
│ → ssd-state.json phases[N].tasks updated │
│ | │
│ v │
│ /ssd-execute │
│ | │
│ v │
│ [E] Multi-agent execution via /team │
│ TeamCreate → TaskCreate per subtask │
│ Agents: executor, analyst, designer, │
│ test-engineer, security-reviewer… │
│ → docs/ssd/phase-N/ artifacts produced │
│ → Phase document assembled from artifacts │
│ | │
│ v │
│ /ssd-validate │
│ | │
│ v │
│ [A] Architect validation │
│ fabric -p bmad_ssd_phase_review │
│ (fallback: architect agent via TaskCreate) │
│ | │
│ ├── PASS ──────────→ plannotator review │
│ │ | │
│ │ ┌────┴────┐ │
│ │ │ Approve │ Req Changes │
│ │ └────┬────┘ | │
│ │ | Loop to [E] │
│ │ v with feedback │
│ │ /ssd-advance │
│ │ → phase N+1 │
│ │ │
│ ├── PASS_WITH_WARNINGS → plannotator (warned) │
│ │ │
│ ├── REVISE → targeted re-execute specific │
│ │ tasks, then re-validate │
│ │ │
│ └── FAIL → full re-execute with changes, │
│ then re-validate │
│ (max 3 cycles, then escalate) │
└─────────────────────────────────────────────────────┘
TEA Per-Phase Mapping
Phase 1: Analysis
| TEA Step | Action | Agents | Output |
|---|---|---|---|
| Task | Decompose into: market research, user persona definition, competitive landscape, value proposition, constraint identification | explore (haiku) + analyst (opus) |
Task list in ssd-state.json |
| Execute | Run tasks in parallel: research, persona, competitive data | document-specialist, analyst, scientist via Team |
docs/ssd/phase-1/*.md |
| Architect | Validate: personas match value prop? Constraints conflict? Competitive gap real? | architect (opus) + fabric bmad_ssd_phase_review |
Coherence report + PASS/FAIL/REVISE |
Phase 2: Planning
| TEA Step | Action | Agents | Output |
|---|---|---|---|
| Task | Decompose into: functional requirements, non-functional requirements, user stories, acceptance criteria, UX specification | planner (opus) |
Task list |
| Execute | Write functional/non-functional reqs from product brief; produce UX flows; draft acceptance criteria | analyst, designer, test-engineer via Team |
PRD sections |
| Architect | Validate: requirements trace to product brief? Acceptance criteria testable? UX covers all user stories? | architect (opus) + fabric bmad_ssd_phase_review |
Traceability matrix + verdict |
Phase 3: Solutioning
| TEA Step | Action | Agents | Output |
|---|---|---|---|
| Task | Decompose into: component design, API contracts, data model, integration design, security design, performance design, technology selection | architect (opus) |
Task list |
| Execute | Component/integration design; security design; performance design; technology evaluation | architect, security-reviewer, quality-reviewer, document-specialist via Team |
Architecture sections |
| Architect | Validate: architecture fulfills PRD? API contracts consistent with user stories? Security design matches threat model? Run cross-phase traceability. | architect (opus) + critic (opus) + fabric bmad_ssd_phase_review |
Architecture review + requirement coverage matrix |
Phase 4: Implementation
| TEA Step | Action | Agents | Output |
|---|---|---|---|
| Task | Decompose sprint: epics → stories → implementation tasks (code, test, docs) | planner (opus) |
Sprint plan with task breakdown |
| Execute | Implement code; write tests; update docs; resolve build issues | executor, test-engineer, writer, build-fixer via Team |
Code, tests, docs per story |
| Architect | Validate: implementation matches architecture? Tests cover acceptance criteria? API contract honored? | verifier (sonnet) + code-reviewer (opus) + fabric bmad_ssd_phase_review |
Implementation coherence report |
Fabric Pattern: bmad_ssd_phase_review
Install this custom pattern for automated architect validation:
mkdir -p ~/.config/fabric/patterns/bmad_ssd_phase_review
cat > ~/.config/fabric/patterns/bmad_ssd_phase_review/system.md << 'EOF'
# IDENTITY AND PURPOSE
You are an expert system architect performing a structured phase review for the BMAD Structured System Design (SSD) framework. Your job is to validate that a phase document is internally coherent, externally consistent with prior phase artifacts, and complete enough to advance to the next phase.
Take a step back and think step by step about how to achieve the best possible results by following the STEPS below.
# STEPS
1. IDENTIFY the current BMAD phase (Analysis, Planning, Solutioning, Implementation) from the input metadata.
2. PARSE the phase document and extract all claims, requirements, design decisions, and deliverables.
3. INTERNAL COHERENCE CHECK:
- Are there contradictory statements within the document?
- Are all sections complete (no TODOs, placeholders, or TBDs)?
- Do quantitative claims have justification?
4. CROSS-PHASE TRACEABILITY CHECK (if prior phase artifacts are provided):
- Phase 2 (Planning): Does every PRD requirement trace to a product brief goal?
- Phase 3 (Solutioning): Does the architecture address every PRD functional requirement?
- Phase 4 (Implementation): Does every story map to an architecture component?
- Flag any orphaned items.
5. COMPLETENESS CHECK against BMAD level expectations:
- Level 0-1: Minimal viable coverage
- Level 2: Full requirement coverage with acceptance criteria
- Level 3: Comprehensive with integration points and risk analysis
- Level 4: Enterprise-grade with security, performance, and infrastructure coverage
6. RISK ASSESSMENT:
- Identify assumptions that could invalidate the phase output
- Flag unresolved dependencies
- Note scope creep relative to prior phase boundaries
7. PRODUCE a structured verdict.
# OUTPUT INSTRUCTIONS
- Output valid Markdown only.
- Begin with a `## Verdict` section: one of `PASS`, `PASS_WITH_WARNINGS`, `FAIL`, or `REVISE`.
- Follow with `## Internal Coherence` (findings with line references).
- Follow with `## Cross-Phase Traceability` (coverage matrix if applicable).
- Follow with `## Completeness` (missing sections or underspecified areas).
- Follow with `## Risks` (ranked by severity: critical, high, medium, low).
- Follow with `## Required Changes` (concrete, actionable items if verdict is FAIL or REVISE).
- Do not include warnings, disclaimers, or caveats outside the structured sections.
# INPUT
INPUT:
EOF
Usage in /ssd-validate:
# Pipe current phase doc + prior artifacts for cross-phase validation
{
echo "--- CURRENT PHASE DOCUMENT ---"
cat "$CURRENT_DOC"
echo "--- PRIOR PHASE ARTIFACTS ---"
for prior in "${PRIOR_DOCS[@]}"; do
echo "--- $(basename "$prior") ---"
cat "$prior"
done
} | fabric -p bmad_ssd_phase_review --stream > docs/ssd/phase-N/architect-review.md
How to use bmad-orchestrator on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add bmad-orchestrator
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches bmad-orchestrator from GitHub repository supercent-io/skills-template and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate bmad-orchestrator. Access the skill through slash commands (e.g., /bmad-orchestrator) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★59 reviews- ★★★★★Noah Zhang· Dec 12, 2024
Registry listing for bmad-orchestrator matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Tariq Harris· Dec 12, 2024
bmad-orchestrator reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sophia Menon· Dec 4, 2024
Keeps context tight: bmad-orchestrator is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Henry Park· Dec 4, 2024
Solid pick for teams standardizing on skills: bmad-orchestrator is focused, and the summary matches what you get after install.
- ★★★★★Hana Chawla· Nov 23, 2024
We added bmad-orchestrator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Hana Bhatia· Nov 3, 2024
Useful defaults in bmad-orchestrator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Tariq Smith· Nov 3, 2024
I recommend bmad-orchestrator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Hana Mehta· Oct 22, 2024
I recommend bmad-orchestrator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Zara Zhang· Oct 22, 2024
Useful defaults in bmad-orchestrator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sophia Ramirez· Oct 14, 2024
bmad-orchestrator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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