Team Designer

Team Skill Designer

Generate complete team skills following the team-lifecycle-v4 architecture: SKILL.md as universal router, coordinator with beat model, worker roles with optional commands/, shared specs, and templates.

Architecture Overview

┌─────────────────────────────────────────────────────────────────┐
│  Team Skill Designer (SKILL.md)                                  │
│  → Orchestrator: gather requirements, generate files, validate   │
└───────────────────────────┬──────────────────────────────────────┘
                            │
    ┌───────────┬───────────┼───────────┬───────────┐
    ↓           ↓           ↓           ↓
┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐
│ Phase 1 │ │ Phase 2 │ │ Phase 3 │ │ Phase 4 │
│ Require │ │ Scaffold│ │ Content │ │ Valid   │
│ Analysis│ │  Gen    │ │  Gen    │ │ & Report│
└─────────┘ └─────────┘ └─────────┘ └─────────┘
     ↓           ↓           ↓           ↓
  teamConfig  SKILL.md    roles/      Validated
              + dirs     specs/       skill pkg
                         templates/

Key Design Principles

1. v4 Architecture Compliance: Generated skills follow team-lifecycle-v4 pattern — SKILL.md = pure router, beat model = coordinator-only, unified structure (roles/ + specs/ + templates/)
2. Golden Sample Reference: Uses team-lifecycle-v4 as reference implementation at ~ or <project>/.claude/skills/team-lifecycle-v4/
3. Intelligent Commands Distribution: Auto-determines which roles need commands/ (2+ commands) vs inline logic (1 command)
4. team-worker Compatibility: Role.md files include correct YAML frontmatter for team-worker agent parsing

Execution Flow

Progress Tracking Initialization:
   └─ functions.update_plan([all 4 phases, Phase 1 as in_progress])

Input Parsing:
   └─ Parse user requirements (skill name, roles, pipelines, domain)

Phase 1: Requirements Analysis
   └─ Ref: phases/01-requirements-analysis.md
      ├─ Tasks: Detect input → Gather roles → Define pipelines → Build teamConfig
      └─ Output: teamConfig
      └─ Progress: mark phase-1 completed, phase-2 in_progress

Phase 2: Scaffold Generation
   └─ Ref: phases/02-scaffold-generation.md
      ├─ Tasks: Create dirs → Generate SKILL.md router → Verify
      └─ Output: SKILL.md + directory structure
      └─ Progress: mark phase-2 completed, phase-3 in_progress

Phase 3: Content Generation
   └─ Ref: phases/03-content-generation.md
      ├─ Tasks: Coordinator → Workers → Specs → Templates
      └─ Output: roles/**/*.md, specs/*.md, templates/*.md
      └─ Progress: mark phase-3 completed, phase-4 in_progress

Phase 4: Validation
   └─ Ref: phases/04-validation.md
      └─ Output: Validation report (PASS/REVIEW/FAIL)
      └─ Progress: mark phase-4 completed

Return:
   └─ Summary with skill location and usage instructions

Phase Reference Documents (read on-demand when phase executes):

Golden Sample

Generated skills follow the architecture of ~ or <project>/.claude/skills/team-lifecycle-v4/:

.claude/skills/<skill-name>/
├── SKILL.md                              # Universal router (all roles read)
├── roles/
│   ├── coordinator/
│   │   ├── role.md                       # Orchestrator + beat model + entry router
│   │   └── commands/
│   │       ├── analyze.md                # Task analysis
│   │       ├── dispatch.md               # Task chain creation
│   │       └── monitor.md                # Beat control + callbacks
│   ├── <inline-worker>/
│   │   └── role.md                       # Phase 2-4 embedded (simple role)
│   └── <command-worker>/
│       ├── role.md                       # Phase 2-4 dispatcher
│       └── commands/
│           ├── <cmd-1>.md
│           └── <cmd-2>.md
├── specs/
│   ├── pipelines.md                      # Pipeline definitions + task registry
│   └── <domain-specs>.md                 # Domain-specific specifications
└── templates/                            # Optional document templates

Progress Tracking

Initialize progress tracking before Phase 1 execution:

functions.update_plan([
  { id: "phase-1", title: "Phase 1: Requirements Analysis", status: "in_progress" },
  { id: "phase-2", title: "Phase 2: Scaffold Generation", status: "pending" },
  { id: "phase-3", title: "Phase 3: Content Generation", status: "pending" },
  { id: "phase-4", title: "Phase 4: Validation", status: "pending" }
])

At each phase transition:

• Phase 1 complete: functions.update_plan([{id: "phase-1", status: "completed"}, {id: "phase-2", status: "in_progress"}])
• Phase 2 complete: functions.update_plan([{id: "phase-2", status: "completed"}, {id: "phase-3", status: "in_progress"}])
• Phase 3 complete: functions.update_plan([{id: "phase-3", status: "completed"}, {id: "phase-4", status: "in_progress"}])
• Phase 4 complete: functions.update_plan([{id: "phase-4", status: "completed"}])

Data Flow

User Input (skill name, roles, pipelines)
    ↓
Phase 1: Requirements Analysis
    ↓ Output: teamConfig
    ↓
Phase 2: Scaffold Generation
    ↓ Input: teamConfig
    ↓ Output: SKILL.md + skillDir
    ↓
Phase 3: Content Generation
    ↓ Input: teamConfig + skillDir
    ↓ Output: roles/, specs/, templates/
    ↓
Phase 4: Validation
    ↓ Input: teamConfig + all files
    ↓ Output: validation report
    ↓
Return summary to user

Core Rules

1. Start Immediately: First action is progress tracking initialization, second action is Phase 1 execution
2. Parse Every Output: Extract teamConfig from Phase 1 for subsequent phases
3. Auto-Continue: After each phase, automatically execute next phase
4. Progressive Phase Loading: Read phase docs ONLY when that phase is about to execute
5. Golden Sample Fidelity: Generated files must match team-lifecycle-v4 patterns
6. DO NOT STOP: Continuous workflow until all 4 phases complete

Input Processing

Convert user input to structured format:

SKILL_NAME: [kebab-case name, e.g., team-code-review]
DOMAIN: [what this team does, e.g., "multi-stage code review with security analysis"]
ROLES: [worker roles beyond coordinator, e.g., "analyst, reviewer, security-expert"]
PIPELINES: [pipeline types and flows, e.g., "review-only: SCAN-001 → REVIEW-001 → REPORT-001"]
SESSION_PREFIX: [3-4 char, e.g., TCR]

Error Handling

• Invalid role name: Must be lowercase alphanumeric with hyphens, max 20 chars
• Circular dependencies: Detect and report in pipeline validation
• Missing golden sample: Fall back to embedded templates in phase files
• Directory conflict: Warn if skill directory already exists, ask user to confirm overwrite