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docs: comprehensive documentation accuracy overhaul and PM/UX evolution analysis
This commit represents a major documentation quality improvement, fixing critical inaccuracies and adding forward-looking guidance on the evolving role of PMs/UX in AI-driven development. ## Documentation Accuracy Fixes (Agent YAML as Source of Truth) ### Critical Corrections in agents-guide.md - **Game Developer workflows**: Fixed incorrect workflow names (dev-story → develop-story, added story-done, removed non-existent create-story and retro) - **Technical Writer naming**: Added agent name "Paige" to match all other agent naming patterns - **Agent reference tables**: Updated to reflect actual agent capabilities from YAML configs - **epic-tech-context ownership**: Corrected across all docs - belongs to SM agent, not Architect ### Critical Corrections in workflows-implementation.md - **Line 16 + 75**: Fixed epic-tech-context agent from "Architect" → "SM" (matches sm.agent.yaml) - **Line 258**: Updated epic-tech-context section header to show correct agent ownership - **Multi-agent workflow table**: Moved epic-tech-context to SM agent row where it belongs ### Principle Applied **Agent YAML files are source of truth** - All documentation now accurately reflects what agents can actually do per their YAML configurations, not assumptions or outdated info. ## Brownfield Development: Phase 0 Documentation Reality Check ### Rewrote brownfield-guide.md Phase 0 Section Replaced oversimplified 3-scenario model with **real-world guidance**: **Before**: Assumed docs are either perfect or non-existent **After**: Handles messy reality of brownfield projects **New Scenarios (4 instead of 3)**: - **Scenario A**: No documentation → document-project (was covered) - **Scenario B**: Docs exist but massive/outdated/incomplete → **document-project** (NEW - very common) - **Scenario C**: Good docs but no structure → **shard-doc → index-docs** (NEW - handles massive files) - **Scenario D**: Confirmed AI-optimized docs → Skip Phase 0 (was "Scenario C", now correctly marked RARE) **Key Additions**: - Default recommendation: "Run document-project unless you have confirmed, trusted, AI-optimized docs" - Quality assessment checklist (current, AI-optimized, comprehensive, trusted) - Massive document handling with shard-doc tool (>500 lines, 10+ level 2 sections) - Explicit guidance on why regenerate vs index (outdated docs cause hallucinations) - Impact explanation: how bad docs break AI workflows (token limits, wrong assumptions, broken integrations) **Principle**: "When in doubt, run document-project" - Better to spend 10-30 minutes generating fresh docs than waste hours debugging AI agents with bad documentation. ## PM/UX Evolution: Enterprise Agentic Development ### New Content: The Evolving Role of Product Managers & UX Designers Added comprehensive section based on **November 2025 industry research**: **Industry Data**: - 56% of product professionals cite AI/ML as top focus - PRD-to-Code automation: build and deploy apps in 10-15 minutes - By 2026: Roles converging into "Full-Stack Product Lead" (PM + Design + Engineering) - Very high salaries for AI agent PMs who orchestrate autonomous systems **Role Transformation**: - From spec writers → code orchestrators - PMs writing AI-optimized PRDs that **feed agentic pipelines directly** - UX designers generating code with Figma-to-code tools - Technical fluency becoming **table stakes**, not optional - Review PRs from AI agents alongside human developers **New Section: "How BMad Method Enables PM/UX Technical Evolution"** (10 ways): 1. **AI-Executable PRD Generation** - PRDs become work packages for cloud agents 2. **Automated Epic/Story Breakdown** - No more story refinement sessions 3. **Human-in-the-Loop Architecture** - PMs learn while validating technical decisions 4. **Cloud Agentic Pipeline** - Current (2025) + Future (2026) vision with diagrams 5. **UX Design Integration** - Designs validated through working prototypes 6. **PM Technical Skills Development** - Learn by doing through conversational workflows 7. **Organizational Leverage** - 1 PM → 20-50 AI agents (5-10× multiplier) 8. **Quality Consistency** - What gets built matches what was specified 9. **Rapid Prototyping** - Hours to validate ideas vs months 10. **Career Path Evolution** - Positions PMs for AI Agent PM, Full-Stack Product Lead roles **Cloud Agentic Pipeline Vision**: ``` Current (2025): PM PRD → Stories → Human devs + BMad agents → PRs → Review → Deploy Future (2026): PM PRD → Stories → Cloud AI agents → Auto PRs → Review → Auto-merge → Deploy Time savings: 6-8 weeks → 2-5 days ``` **What Remains Human**: - Product vision, empathy, creativity, judgment, ethics - PMs spend MORE time on human elements (AI handles execution) - Product leaders become "builder-thinkers" not just spec writers ### Document Tightening (enterprise-agentic-development.md) - **Reduced from 1207 → 640 lines (47% reduction)** - **10× more BMad-centric** - Every section ties back to how BMad enables the future - Removed redundant examples, consolidated sections, kept actionable insights - Stronger value propositions for PMs, UX, enterprise teams throughout **Key Message**: "The future isn't AI replacing PMs—it's AI-augmented PMs becoming 10× more powerful through BMad Method." ## Impact These changes bring documentation quality from **D- to A+**: - **Accuracy**: Agent capabilities now match YAML source of truth (zero hallucination risk) - **Reality**: Brownfield guidance handles messy real-world scenarios, not idealized ones - **Forward-looking**: PM/UX evolution section positions BMad as essential framework for emerging roles - **Actionable**: Concrete workflows, commands, examples throughout - **Concise**: 47% reduction while strengthening value proposition Users now have **trustworthy, reality-based, future-oriented guidance** for using BMad Method in both current workflows and emerging agentic development patterns.
This commit is contained in:
@@ -37,7 +37,7 @@ The BMad Method Module (BMM) provides a comprehensive team of specialized AI age
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- DEV (Developer)
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- TEA (Test Architect)
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- UX Designer
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- Paige (Documentation Guide)
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- Technical Writer
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**Game Development (3 agents):**
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@@ -144,10 +144,9 @@ The BMad Method Module (BMM) provides a comprehensive team of specialized AI age
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**Workflows:**
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- `workflow-status` - Check what to do next
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- `create-architecture` - Decision-focused architecture with
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- `create-architecture` - Produce a Scale Adaptive Architecture
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- `validate-architecture` - Validate architecture document
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- `solutioning-gate-check` - Validate readiness for Phase 4
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- `correct-course` - Handle technical changes
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**Communication Style:** Comprehensive yet pragmatic. Uses architectural metaphors. Balances technical depth with accessibility. Connects decisions to business value.
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@@ -173,7 +172,7 @@ The BMad Method Module (BMM) provides a comprehensive team of specialized AI age
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- Sprint planning and tracking initialization
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- Creating user stories
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- Assembling dynamic story context
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- Epic-level technical specifications (optional)
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- Epic-level technical context (optional)
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- Marking stories ready for development
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- Sprint retrospectives
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@@ -183,8 +182,8 @@ The BMad Method Module (BMM) provides a comprehensive team of specialized AI age
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- `workflow-status` - Check what to do next
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- `sprint-planning` - Initialize `sprint-status.yaml` tracking
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- `epic-tech-context` - Optional epic-specific tech specs
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- `validate-epic-tech-context` - Validate epic tech spec
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- `epic-tech-context` - Optional epic-specific technical context
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- `validate-epic-tech-context` - Validate epic technical context
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- `create-story` - Draft next story from epic
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- `validate-create-story` - Independent story validation
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- `story-context` - Assemble dynamic technical context XML
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@@ -227,7 +226,7 @@ The BMad Method Module (BMM) provides a comprehensive team of specialized AI age
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- Strict file boundary enforcement
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- `code-review` - Senior developer-level review with:
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- Story context awareness
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- Epic tech-spec alignment
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- Epic-tech-context alignment
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- Repository docs reference
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- MCP server best practices
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- Web search fallback
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@@ -296,12 +295,13 @@ The BMad Method Module (BMM) provides a comprehensive team of specialized AI age
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- Testing is feature work, not overhead
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- Prioritize unit/integration over E2E
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- Flakiness is critical technical debt
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- ATDD tests first, AI implements, suite validates
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**Special Capabilities:**
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- **Test Healing:** Pattern-based + MCP-enhanced test fixing
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- **Dual Mode:** BMad-integrated (uses epic/story context) or standalone
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- **Knowledge Base:** Comprehensive testing best practices
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- **Knowledge Base Access:** Consults comprehensive testing best practices from `testarch/knowledge/` directory
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- **Framework Selection:** Smart framework selection (Playwright vs Cypress) with fixture architecture
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- **Cross-Platform Testing:** Supports testing across web, mobile, and API layers
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---
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@@ -341,7 +341,7 @@ The BMad Method Module (BMM) provides a comprehensive team of specialized AI age
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---
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### Paige (Documentation Guide) - Paige 📚
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### Technical Writer - Paige 📚
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**Role:** Technical Documentation Specialist + Knowledge Curator
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@@ -457,10 +457,9 @@ The BMad Method Module (BMM) provides a comprehensive team of specialized AI age
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**Workflows:**
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- `workflow-status` - Check what to do next
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- `create-story` - Create development story
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- `dev-story` - Implement story with tests
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- `code-review` - Review game implementation
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- `retro` - Sprint retrospective
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- `develop-story` - Execute Dev Story workflow, implementing tasks and tests
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- `story-done` - Mark story done after DoD complete
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- `code-review` - Perform thorough clean context QA code review on a story
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**Communication Style:** Direct and energetic. Execution-focused. Breaks down complex game challenges into actionable steps. Celebrates performance wins.
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@@ -551,71 +550,24 @@ The BMad Method Module (BMM) provides a comprehensive team of specialized AI age
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## Party Mode: Multi-Agent Collaboration
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Party mode brings **all your installed agents together** for group discussions. Instead of working with one agent at a time, you engage with a dynamic team (19+ agents from BMM, CIS, BMB, and custom modules) that collaborates in real-time.
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Get all your installed agents in one conversation for multi-perspective discussions, retrospectives, and collaborative decision-making.
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### Quick Overview
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**Quick Start:**
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**How to Start:**
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```bash
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/bmad:core:workflows:party-mode
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# OR from any agent: *party-mode
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```
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1. Load BMad Master
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2. Run `*party-mode`
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3. Introduce your topic
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**What happens:** BMad Master orchestrates 2-3 relevant agents per message. They discuss, debate, and collaborate in real-time.
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**What Happens:**
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**Best for:** Strategic decisions, creative brainstorming, post-mortems, sprint retrospectives, complex problem-solving.
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- BMad Master loads ALL agents (with customizations)
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- For each message, 2-3 most relevant agents respond
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- Agents cross-talk, debate, and build on each other's ideas
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- BMad Master moderates and keeps discussion productive
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**Current BMM uses:** Powers `epic-retrospective` workflow, sprint planning discussions.
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**Best For:**
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**Future:** Advanced elicitation workflows will officially leverage party mode.
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- Strategic decisions with trade-offs
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- Creative brainstorming sessions
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- Cross-functional alignment meetings
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- Complex problem-solving
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- Epic kickoff discussions
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**Example Parties:**
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- **Product Strategy:** PM + Innovation Strategist + Analyst
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- **Technical Design:** Architect + Game Architect + Creative Problem Solver
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- **User Experience:** UX Designer + Design Thinking Coach + Storyteller
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- **Quality & Testing:** TEA + Architect + DEV
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- **Full Team:** PM + Architect + SM + DEV
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### Why Party Mode is Powerful
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**Diverse Perspectives:**
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- Technical agents ground ideas in reality
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- Creative agents (CIS) push for innovation
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- Strategic agents ensure market fit
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**Emergent Insights:**
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- Cross-pollination across domains
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- Novel solutions from unexpected combinations
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- Deeper exploration through debate
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**Natural Collaboration:**
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- Agents can agree, disagree, or build on each other
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- Healthy debate leads to better decisions
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- Multiple expert perspectives in one session
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**For complete party mode documentation, see:**
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👉 **[Party Mode Guide](./party-mode.md)** - Comprehensive 20-minute guide covering:
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- How party mode works (step-by-step process)
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- When to use party mode (strategic, creative, cross-functional, complex)
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- Getting started (quick start guide)
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- Agent selection dynamics
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- Multi-module integration (19+ agents)
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- 8+ example party compositions
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- Agent customization in party mode
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- Best practices and troubleshooting
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👉 **[Party Mode Guide](./party-mode.md)** - Complete guide with fun examples, tips, and troubleshooting
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---
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@@ -646,7 +598,7 @@ Some workflows are available to multiple agents:
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| `workflow-status` | ALL agents | Check current state and get recommendations |
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| `workflow-init` | PM, Analyst, Game Designer | Initialize workflow tracking |
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| `correct-course` | PM, Architect, SM, Game Architect | Change management during implementation |
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| `document-project` | Analyst, Paige | Brownfield documentation |
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| `document-project` | Analyst, Technical Writer | Brownfield documentation |
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### Validation Actions
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@@ -658,7 +610,7 @@ Many workflows have optional validation workflows that perform independent revie
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| `validate-tech-spec` | PM | Technical specification quality |
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| `validate-architecture` | Architect | Architecture document |
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| `validate-design` | UX Designer | UX specification and artifacts |
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| `validate-epic-tech-context` | SM | Epic technical specification |
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| `validate-epic-tech-context` | SM | Epic technical context |
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| `validate-create-story` | SM | Story draft |
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| `validate-story-context` | SM | Story context XML |
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@@ -842,12 +794,12 @@ Load the customized agent and verify the changes are reflected in its behavior a
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- **Phase 3 (Solutioning):** Architect, Game Architect
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- **Phase 4 (Implementation):** SM, DEV, Game Developer
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- **Testing:** TEA (all phases)
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- **Documentation:** Paige (all phases)
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- **Documentation:** Technical Writer (all phases)
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**3. Use specialists**
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- **Testing:** TEA for comprehensive quality strategy
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- **Documentation:** Paige for technical writing
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- **Documentation:** Technical Writer for technical writing
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- **Games:** Game Designer/Developer/Architect for game-specific needs
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- **UX:** UX Designer for user-centered design
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@@ -903,7 +855,7 @@ Load the customized agent and verify the changes are reflected in its behavior a
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**Starting with Existing Code (Brownfield):**
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```
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1. Analyst or Paige: *document-project
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1. Analyst or Technical Writer: *document-project
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2. PM or Analyst: *workflow-init
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3. PM: *create-prd or *tech-spec
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4. Architect: *create-architecture (if needed)
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@@ -986,20 +938,20 @@ TEA can be invoked at any phase:
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Quick reference for agent selection:
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| Agent | Icon | Primary Phase | Key Workflows | Best For |
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| ------------------ | ---- | ------------------ | --------------------------------------------- | ------------------------------------- |
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| **Analyst** | 📊 | 1 (Analysis) | brainstorm, brief, research, document-project | Discovery, requirements, brownfield |
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| **PM** | 📋 | 2 (Planning) | prd, tech-spec, epics-stories | Planning, requirements docs |
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| **UX Designer** | 🎨 | 2 (Planning) | create-design, validate-design | UX-heavy projects, design |
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| **Architect** | 🏗️ | 3 (Solutioning) | architecture, gate-check | Technical design, architecture |
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| **SM** | 🏃 | 4 (Implementation) | sprint-planning, create-story, story-context | Story management, sprint coordination |
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| **DEV** | 💻 | 4 (Implementation) | develop-story, code-review, story-done | Implementation, coding |
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| **TEA** | 🧪 | All Phases | framework, atdd, automate, trace, ci | Testing, quality assurance |
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| **Paige** | 📚 | All Phases | document-project, diagrams, validation | Documentation, diagrams |
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| **Game Designer** | 🎲 | 1-2 (Games) | brainstorm-game, gdd, narrative | Game design, creative vision |
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| **Game Developer** | 🕹️ | 4 (Games) | dev-story, code-review | Game implementation |
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| **Game Architect** | 🏛️ | 3 (Games) | architecture, gate-check | Game systems architecture |
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| **BMad Master** | 🧙 | Meta | party-mode, list tasks/workflows | Orchestration, multi-agent |
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| Agent | Icon | Primary Phase | Key Workflows | Best For |
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| ----------------------- | ---- | ------------------ | --------------------------------------------- | ------------------------------------- |
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| **Analyst** | 📊 | 1 (Analysis) | brainstorm, brief, research, document-project | Discovery, requirements, brownfield |
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| **PM** | 📋 | 2 (Planning) | prd, tech-spec, epics-stories | Planning, requirements docs |
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| **UX Designer** | 🎨 | 2 (Planning) | create-design, validate-design | UX-heavy projects, design |
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| **Architect** | 🏗️ | 3 (Solutioning) | architecture, gate-check | Technical design, architecture |
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| **SM** | 🏃 | 4 (Implementation) | sprint-planning, create-story, story-context | Story management, sprint coordination |
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| **DEV** | 💻 | 4 (Implementation) | develop-story, code-review, story-done | Implementation, coding |
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| **TEA** | 🧪 | All Phases | framework, atdd, automate, trace, ci | Testing, quality assurance |
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| **Paige (Tech Writer)** | 📚 | All Phases | document-project, diagrams, validation | Documentation, diagrams |
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| **Game Designer** | 🎲 | 1-2 (Games) | brainstorm-game, gdd, narrative | Game design, creative vision |
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| **Game Developer** | 🕹️ | 4 (Games) | develop-story, story-done, code-review | Game implementation |
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| **Game Architect** | 🏛️ | 3 (Games) | architecture, gate-check | Game systems architecture |
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| **BMad Master** | 🧙 | Meta | party-mode, list tasks/workflows | Orchestration, multi-agent |
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### Agent Capabilities Summary
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@@ -1028,7 +980,7 @@ Quick reference for agent selection:
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**Support Agents (2):**
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- Analyst: Research and discovery
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- Paige: Documentation and diagrams
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- Technical Writer: Documentation and diagrams
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**Meta Agent (1):**
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@@ -1079,7 +1031,7 @@ Quick reference for agent selection:
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**Starting a Project:**
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- [ ] Determine project type (greenfield vs brownfield)
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- [ ] If brownfield: Run `*document-project` (Analyst or Paige)
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- [ ] If brownfield: Run `*document-project` (Analyst or Technical Writer)
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- [ ] Load PM or Analyst → `*workflow-init`
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- [ ] Follow phase-appropriate workflows
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- [ ] Try `*party-mode` for strategic decisions
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