feat: migrate all codex team skills from spawn_agents_on_csv to spawn_agent + wait_agent architecture

- Delete 21 old team skill directories using CSV-wave pipeline pattern (~100+ files)
- Delete old team-lifecycle (v3) and team-planex-v2
- Create generic team-worker.toml and team-supervisor.toml (replacing tlv4-specific TOMLs)
- Convert 19 team skills from Claude Code format (Agent/SendMessage/TaskCreate)
  to Codex format (spawn_agent/wait_agent/tasks.json/request_user_input)
- Update team-lifecycle-v4 to use generic agent types (team_worker/team_supervisor)
- Convert all coordinator role files: dispatch.md, monitor.md, role.md
- Convert all worker role files: remove run_in_background, fix Bash syntax
- Convert all specs/pipelines.md references
- Final state: 20 team skills, 217 .md files, zero Claude Code API residuals

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
catlog22
2026-03-24 16:54:48 +08:00
parent 54283e5dbb
commit 1e560ab8e8
334 changed files with 28996 additions and 35516 deletions

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---
role: analyst
prefix: ANALYZE
inner_loop: false
message_types:
success: analyze_ready
error: error
---
# Requirements Analyst
Analyze frontend requirements and retrieve industry design intelligence via ui-ux-pro-max skill. Produce design-intelligence.json and requirements.md for downstream consumption by architect and developer roles.
## Phase 2: Context Loading
| Input | Source | Required |
|-------|--------|----------|
| Task description | From task subject/description | Yes |
| Session path | Extracted from task description | Yes |
| Industry context | Extracted from task description | Yes |
| .msg/meta.json | <session>/.msg/meta.json | No |
1. Extract session path, industry type, and tech stack from task description
2. Detect existing design system:
| Signal | Detection Method |
|--------|-----------------|
| Token files | Glob `**/*token*.*` |
| CSS files | Glob `**/*.css` |
| Package.json | Read for framework dependencies |
3. Detect tech stack from package.json:
| Dependency | Stack |
|------------|-------|
| `next` | nextjs |
| `react` | react |
| `vue` | vue |
| `svelte` | svelte |
| `@shadcn/ui` | shadcn |
| (none) | html-tailwind |
4. Load .msg/meta.json for shared state
## Phase 3: Design Intelligence Retrieval
Retrieve design intelligence via ui-ux-pro-max skill integration.
**Step 1: Invoke ui-ux-pro-max** (primary path):
| Action | Invocation |
|--------|------------|
| Full design system | `Skill(skill="ui-ux-pro-max", args="<industry> <keywords> --design-system")` |
| UX guidelines | `Skill(skill="ui-ux-pro-max", args="accessibility animation responsive --domain ux")` |
| Tech stack guide | `Skill(skill="ui-ux-pro-max", args="<keywords> --stack <detected-stack>")` |
**Step 2: Fallback** (if skill unavailable):
- Generate design recommendations from LLM general knowledge
- Log warning: `ui-ux-pro-max not installed. Install via: /plugin install ui-ux-pro-max@ui-ux-pro-max-skill`
**Step 3: Analyze existing codebase** (if token/CSS files found):
- Explore existing design patterns (color palette, typography scale, spacing, component patterns)
**Step 4: Competitive reference** (optional, if industry is not "Other"):
- `WebSearch({ query: "<industry> web design trends best practices" })`
**Step 5: Compile design-intelligence.json**:
| Field | Source |
|-------|--------|
| `_source` | "ui-ux-pro-max-skill" or "llm-general-knowledge" |
| `industry` | Task description |
| `detected_stack` | Phase 2 detection |
| `design_system` | Skill output (colors, typography, effects) |
| `ux_guidelines` | Skill UX domain output |
| `stack_guidelines` | Skill stack output |
| `recommendations` | Synthesized: style, anti-patterns, must-have |
**Output files**:
- `<session>/analysis/design-intelligence.json`
- `<session>/analysis/requirements.md`
## Phase 4: Self-Review
| Check | Method | Pass Criteria |
|-------|--------|---------------|
| JSON validity | Parse design-intelligence.json | No parse errors |
| Required fields | Check _source, industry, design_system | All present |
| Anti-patterns populated | Check recommendations.anti_patterns | Non-empty array |
| Requirements doc exists | File check | requirements.md written |
Update .msg/meta.json: merge `design_intelligence` and `industry_context` keys.

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---
role: architect
prefix: ARCH
inner_loop: false
message_types:
success: arch_ready
error: error
---
# Frontend Architect
Consume design-intelligence.json to define design token system, component architecture, and project structure. Token values prioritize ui-ux-pro-max recommendations. Produce architecture artifacts for developer consumption.
## Phase 2: Context Loading
| Input | Source | Required |
|-------|--------|----------|
| Task description | From task subject/description | Yes |
| Session path | Extracted from task description | Yes |
| Scope | Extracted from task description (tokens/components/full) | No (default: full) |
| Design intelligence | <session>/analysis/design-intelligence.json | Yes |
| .msg/meta.json | <session>/.msg/meta.json | No |
1. Extract session path and scope from task description
2. Load design intelligence from analyst output
3. Load .msg/meta.json for shared state (industry_context, design_intelligence)
4. Detect existing project structure via Glob `src/**/*`
**Fail-safe**: If design-intelligence.json not found, use default token values and log warning.
## Phase 3: Architecture Design
**Scope selection**:
| Scope | Output |
|-------|--------|
| `tokens` | Design token system only |
| `components` | Component specs only |
| `full` | Both tokens and components + project structure |
**Step 1: Design Token System** (scope: tokens or full):
Generate `<session>/architecture/design-tokens.json` with categories:
| Category | Content | Source |
|----------|---------|--------|
| `color` | Primary, secondary, background, surface, text, CTA | ui-ux-pro-max |
| `typography` | Font families, font sizes (scale) | ui-ux-pro-max |
| `spacing` | xs through 2xl | Standard scale |
| `border-radius` | sm, md, lg, full | Standard scale |
| `shadow` | sm, md, lg | Standard elevation |
| `transition` | fast, normal, slow | Standard durations |
Use `$type` + `$value` format (Design Tokens Community Group). Support light/dark mode via nested values.
**Step 2: Component Architecture** (scope: components or full):
Generate component specs in `<session>/architecture/component-specs/`:
- Design reference (style, stack)
- Props table (name, type, default, description)
- Variants table
- Accessibility requirements (role, keyboard, ARIA, contrast)
- Anti-patterns to avoid (from design intelligence)
**Step 3: Project Structure** (scope: full):
Generate `<session>/architecture/project-structure.md` with stack-specific layout:
| Stack | Key Directories |
|-------|----------------|
| react | src/components/, src/pages/, src/hooks/, src/styles/ |
| nextjs | app/(routes)/, app/components/, app/lib/, app/styles/ |
| vue | src/components/, src/views/, src/composables/, src/styles/ |
| html-tailwind | src/components/, src/pages/, src/styles/ |
## Phase 4: Self-Review
| Check | Method | Pass Criteria |
|-------|--------|---------------|
| JSON validity | Parse design-tokens.json | No errors |
| Required categories | Check color, typography, spacing | All present |
| Anti-pattern compliance | Token values vs anti-patterns | No violations |
| Component specs complete | Each has props + accessibility | All complete |
| File existence | Verify all planned files | All present |
Update .msg/meta.json: merge `design_token_registry` and `component_inventory` keys.

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# Analyze Task
Parse frontend task -> detect capabilities -> assess pipeline complexity -> design roles.
**CONSTRAINT**: Text-level analysis only. NO source code reading, NO codebase exploration.
## Signal Detection
| Keywords | Capability | Role |
|----------|------------|------|
| analyze, requirements, design intelligence | analyst | analyst |
| design tokens, component architecture, design system | architect | architect |
| implement, build, code, develop, page, component | developer | developer |
| review, audit, quality, test, accessibility | qa | qa |
## Pipeline Selection
| Scope Signal | Pipeline |
|--------------|----------|
| single page, landing, simple | page (4-beat) |
| feature, multi-component, complex | feature (5-beat with arch review gate) |
| full system, design system, multiple pages | system (7-beat dual-track) |
Default to `feature` if ambiguous.
## Complexity Scoring
| Factor | Points |
|--------|--------|
| ui-ux-pro-max integration needed | +1 |
| Existing design system detected | +1 |
| Accessibility strict mode (healthcare/finance) | +2 |
| Multiple tech stacks | +2 |
| Dark mode required | +1 |
Results: 1-2 page, 3-4 feature, 5+ system
## Output
Write <session>/task-analysis.json:
```json
{
"task_description": "<original>",
"pipeline_type": "<page|feature|system>",
"capabilities": [{ "name": "<cap>", "role": "<role>", "keywords": ["..."] }],
"roles": [{ "name": "<role>", "prefix": "<PREFIX>", "inner_loop": false }],
"complexity": { "score": 0, "level": "Low|Medium|High" },
"industry": "<industry>",
"constraints": [],
"needs_ui_ux_pro_max": true
}
```

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# Command: Dispatch
Create the frontend development task chain with correct dependencies and structured task descriptions. Supports page, feature, and system pipeline modes.
## Phase 2: Context Loading
| Input | Source | Required |
|-------|--------|----------|
| User requirement | From coordinator Phase 1 | Yes |
| Session folder | From coordinator Phase 2 | Yes |
| Pipeline mode | From session.json `pipeline_mode` | Yes |
| Industry | From session.json `industry` | Yes |
| Constraints | From session.json `constraints` | No |
1. Load user requirement and scope from session.json
2. Load pipeline mode (page / feature / system) from session.json
3. Load industry and constraints for task descriptions
## Phase 3: Task Chain Creation
### Task Description Template
Every task is a JSON entry in the tasks array, written to `<session>/tasks.json`:
```json
{
"id": "<TASK-ID>",
"subject": "<TASK-ID>",
"description": "PURPOSE: <what this task achieves> | Success: <measurable completion criteria>\nTASK:\n - <step 1: specific action>\n - <step 2: specific action>\n - <step 3: specific action>\nCONTEXT:\n - Session: <session-folder>\n - Industry: <industry>\n - Scope: <scope>\n - Upstream artifacts: <artifact-1>, <artifact-2>\n - Shared memory: <session>/.msg/meta.json\nEXPECTED: <deliverable path> + <quality criteria>\nCONSTRAINTS: <scope limits, focus areas>",
"status": "pending",
"owner": "<role>",
"blockedBy": ["<dependency-list>"]
}
```
After building all entries, write the full array to `<session>/tasks.json`.
### Mode Router
| Mode | Task Chain |
|------|------------|
| `page` | ANALYZE-001 -> ARCH-001 -> DEV-001 -> QA-001 |
| `feature` | ANALYZE-001 -> ARCH-001 -> QA-001 -> DEV-001 -> QA-002 |
| `system` | ANALYZE-001 -> ARCH-001 -> QA-001 -> [ARCH-002 &#124;&#124; DEV-001] -> QA-002 -> DEV-002 -> QA-003 |
---
### Page Mode Task Chain (4 tasks)
**ANALYZE-001** (analyst):
```json
{
"id": "ANALYZE-001",
"subject": "ANALYZE-001",
"description": "PURPOSE: Analyze frontend requirements and retrieve design intelligence | Success: design-intelligence.json produced with industry-specific recommendations\nTASK:\n - Detect tech stack and existing design system\n - Retrieve design intelligence via ui-ux-pro-max (or LLM fallback)\n - Analyze existing codebase patterns\n - Compile design-intelligence.json and requirements.md\nCONTEXT:\n - Session: <session-folder>\n - Industry: <industry>\n - Scope: <scope>\n - Shared memory: <session>/.msg/meta.json\nEXPECTED: <session>/analysis/design-intelligence.json + requirements.md | Structured design data\nCONSTRAINTS: Read-only analysis | No code modifications",
"status": "pending",
"owner": "analyst",
"blockedBy": []
}
```
**ARCH-001** (architect):
```json
{
"id": "ARCH-001",
"subject": "ARCH-001",
"description": "PURPOSE: Define design token system and component architecture | Success: design-tokens.json + component specs produced\nTASK:\n - Load design intelligence from analyst output\n - Generate design token system (colors, typography, spacing, shadows)\n - Define component architecture and specs\n - Generate project structure\nCONTEXT:\n - Session: <session-folder>\n - Industry: <industry>\n - Scope: full\n - Upstream artifacts: design-intelligence.json, requirements.md\n - Shared memory: <session>/.msg/meta.json\nEXPECTED: <session>/architecture/design-tokens.json + component-specs/ + project-structure.md\nCONSTRAINTS: Use ui-ux-pro-max recommendations for token values | Support light/dark mode",
"status": "pending",
"owner": "architect",
"blockedBy": ["ANALYZE-001"]
}
```
**DEV-001** (developer):
```json
{
"id": "DEV-001",
"subject": "DEV-001",
"description": "PURPOSE: Implement frontend page/components from architecture artifacts | Success: All planned files implemented with design token usage\nTASK:\n - Load design tokens, component specs, project structure\n - Generate CSS custom properties from design tokens\n - Implement components following specs and coding standards\n - Self-validate: no hardcoded colors, cursor-pointer, focus styles, responsive\nCONTEXT:\n - Session: <session-folder>\n - Industry: <industry>\n - Scope: full\n - Upstream artifacts: design-tokens.json, component-specs/, project-structure.md\n - Shared memory: <session>/.msg/meta.json\nEXPECTED: src/styles/tokens.css + component files | Design-token compliant code\nCONSTRAINTS: Use CSS variables from tokens | Mobile-first responsive | WCAG AA",
"status": "pending",
"owner": "developer",
"blockedBy": ["ARCH-001"]
}
```
**QA-001** (qa):
```json
{
"id": "QA-001",
"subject": "QA-001",
"description": "PURPOSE: Execute 5-dimension quality audit on implementation | Success: Score >= 8 with 0 critical issues\nTASK:\n - Load design intelligence and tokens for compliance checks\n - Execute 5-dimension audit (code quality, accessibility, design compliance, UX, pre-delivery)\n - Calculate weighted score and determine verdict\n - Write audit report\nCONTEXT:\n - Session: <session-folder>\n - Industry: <industry>\n - Review type: code-review\n - Upstream artifacts: design-intelligence.json, design-tokens.json, src/**\n - Shared memory: <session>/.msg/meta.json\nEXPECTED: <session>/qa/audit-001.md | Weighted score + verdict + categorized issues\nCONSTRAINTS: Read-only review | No code modifications",
"status": "pending",
"owner": "qa",
"blockedBy": ["DEV-001"]
}
```
---
### Feature Mode Task Chain (5 tasks)
Create ANALYZE-001 and ARCH-001 as page mode above, then:
**QA-001** (qa, architecture review):
- blockedBy: ["ARCH-001"]
- Review type: architecture-review
- Reviews architecture artifacts before developer starts
**DEV-001** (developer):
- blockedBy: ["QA-001"] (waits for arch review to pass)
**QA-002** (qa, code review):
- blockedBy: ["DEV-001"]
- Review type: code-review
---
### System Mode Task Chain (7 tasks)
Create ANALYZE-001, ARCH-001, QA-001 as feature mode above, then:
**ARCH-002** (architect, parallel with DEV-001):
- blockedBy: ["QA-001"]
- Scope: components (refined specs after QA feedback)
**DEV-001** (developer, parallel with ARCH-002):
- blockedBy: ["QA-001"]
- Scope: tokens (CSS generation)
**QA-002** (qa):
- blockedBy: ["ARCH-002"]
- Review type: component-review
**DEV-002** (developer):
- blockedBy: ["QA-002"]
- Scope: components
**QA-003** (qa, final review):
- blockedBy: ["DEV-002"]
- Review type: final
## Phase 4: Validation
| Check | Method | Expected |
|-------|--------|----------|
| Task count correct | Read tasks.json, count entries | page: 4, feature: 5, system: 7 |
| Dependencies correct | Trace dependency graph | Acyclic, correct blockedBy |
| Structured descriptions | Each has PURPOSE/TASK/CONTEXT/EXPECTED/CONSTRAINTS | All present |
| Owner assignments correct | Role matches task prefix | ANALYZE->analyst, ARCH->architect, DEV->developer, QA->qa |
If validation fails, fix the specific task entry in tasks.json and re-validate.

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# Command: Monitor
Event-driven pipeline coordination. Beat model: coordinator wake -> process -> spawn -> STOP.
## Constants
- SPAWN_MODE: background
- ONE_STEP_PER_INVOCATION: true
- FAST_ADVANCE_AWARE: true
- WORKER_AGENT: team-worker
- MAX_GC_ROUNDS: 2
## Handler Router
| Source | Handler |
|--------|---------|
| Message contains [analyst], [architect], [developer], [qa] | handleCallback |
| "check" or "status" | handleCheck |
| "resume" or "continue" | handleResume |
| All tasks completed | handleComplete |
| Default | handleSpawnNext |
## Phase 2: Context Loading
| Input | Source | Required |
|-------|--------|----------|
| Session state | <session>/session.json | Yes |
| Task list | Read `<session>/tasks.json` | Yes |
| Trigger event | From Entry Router detection | Yes |
| Pipeline definition | From SKILL.md | Yes |
1. Load session.json for current state, `pipeline_mode`, `gc_rounds`
2. Read `<session>/tasks.json` to get current task statuses
3. Identify trigger event type from Entry Router
## Phase 3: Event Handlers
### handleCallback
Triggered when a worker sends completion message.
1. Parse message to identify role and task ID:
| Message Pattern | Role Detection |
|----------------|---------------|
| `[analyst]` or task ID `ANALYZE-*` | analyst |
| `[architect]` or task ID `ARCH-*` | architect |
| `[developer]` or task ID `DEV-*` | developer |
| `[qa]` or task ID `QA-*` | qa |
2. Mark task as completed:
Read `<session>/tasks.json`, find entry by id `<task-id>`, set `"status": "completed"`, write back.
3. Record completion in session state
4. Check if checkpoint applies:
| Completed Task | Pipeline Mode | Checkpoint Action |
|---------------|---------------|-------------------|
| ANALYZE-001 | all | Log: analysis ready |
| ARCH-001 | feature/system | Log: architecture ready for review |
| QA-001 (arch review) | feature/system | Gate: pause if critical issues, wait for architect revision |
| QA-* (code review) | all | Check verdict for GC loop (see below) |
5. **GC Loop Check** (when QA completes with fix_required):
| Condition | Action |
|-----------|--------|
| QA verdict = PASSED or PASSED_WITH_WARNINGS | Proceed to handleSpawnNext |
| QA verdict = FIX_REQUIRED AND gc_round < 2 | Create DEV-fix + QA-recheck tasks, increment gc_round |
| QA verdict = FIX_REQUIRED AND gc_round >= 2 | Escalate to user: accept current state or manual intervention |
**GC Fix Task Creation** -- add new entries to `<session>/tasks.json`:
```json
{
"id": "DEV-fix-<round>",
"subject": "DEV-fix-<round>",
"description": "PURPOSE: Fix issues identified in QA audit | Success: All critical/high issues resolved\nTASK:\n - Load QA audit report with findings\n - Address critical and high severity issues\n - Re-validate fixes against coding standards\nCONTEXT:\n - Session: <session-folder>\n - Upstream artifacts: <session>/qa/audit-<NNN>.md\n - Shared memory: <session>/.msg/meta.json\nEXPECTED: Fixed source files | QA issues resolved\nCONSTRAINTS: Targeted fixes only | Do not introduce regressions",
"status": "pending",
"owner": "developer",
"blockedBy": []
}
```
```json
{
"id": "QA-recheck-<round>",
"subject": "QA-recheck-<round>",
"description": "PURPOSE: Re-audit after developer fixes | Success: Score >= 8, critical == 0\nTASK:\n - Execute 5-dimension audit on fixed code\n - Focus on previously flagged issues\n - Calculate new score\nCONTEXT:\n - Session: <session-folder>\n - Review type: code-review\n - Shared memory: <session>/.msg/meta.json\nEXPECTED: <session>/qa/audit-<NNN>.md | Improved score\nCONSTRAINTS: Read-only review",
"status": "pending",
"owner": "qa",
"blockedBy": ["DEV-fix-<round>"]
}
```
6. Proceed to handleSpawnNext
### handleSpawnNext
Find and spawn the next ready tasks.
1. Scan tasks.json for tasks where:
- Status is "pending"
- All blockedBy tasks have status "completed"
2. For each ready task, spawn team-worker:
```
spawn_agent({
agent_type: "team_worker",
items: [{
description: "Spawn <role> worker for <task-id>",
team_name: "frontend",
name: "<role>",
prompt: `## Role Assignment
role: <role>
role_spec: ~ or <project>/.codex/skills/team-frontend/roles/<role>/role.md
session: <session-folder>
session_id: <session-id>
team_name: frontend
requirement: <task-description>
inner_loop: <true|false>
Read role_spec file to load Phase 2-4 domain instructions.
Execute built-in Phase 1 -> role-spec Phase 2-4 -> built-in Phase 5.`
}]
})
```
3. **Parallel spawn rules**:
| Mode | Scenario | Spawn Behavior |
|------|----------|---------------|
| page | Each stage sequential | One worker at a time |
| feature | After QA-001 arch review | Spawn DEV-001 |
| system | After QA-001 arch review | Spawn ARCH-002 + DEV-001 in parallel |
4. STOP after spawning -- use `wait_agent({ ids: [<spawned-agent-ids>] })` to wait for next callback
### handleCheck
Output current pipeline status.
```
Pipeline Status (<mode> mode):
[DONE] ANALYZE-001 (analyst) -> design-intelligence.json
[DONE] ARCH-001 (architect) -> design-tokens.json
[RUN] DEV-001 (developer) -> implementing...
[WAIT] QA-001 (qa) -> blocked by DEV-001
GC Rounds: 0/2
Session: <session-id>
```
Output status -- do NOT advance pipeline.
### handleResume
Resume pipeline after user pause or interruption.
1. Audit tasks.json for inconsistencies:
- Tasks stuck in "in_progress" -> reset to "pending"
- Tasks with completed blockers but still "pending" -> include in spawn list
2. Proceed to handleSpawnNext
### handleComplete
Triggered when all pipeline tasks are completed.
**Completion check**:
| Mode | Completion Condition |
|------|---------------------|
| page | All 4 tasks (+ any GC fix/recheck tasks) completed |
| feature | All 5 tasks (+ any GC fix/recheck tasks) completed |
| system | All 7 tasks (+ any GC fix/recheck tasks) completed |
1. If any tasks not completed, return to handleSpawnNext
2. If all completed, transition to coordinator Phase 5
## Phase 4: State Persistence
After every handler execution:
1. Update session.json with current state (active tasks, gc_rounds, last event)
2. Verify tasks.json consistency
3. STOP and wait for next event

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# Coordinator Role
Orchestrate team-frontend: analyze -> dispatch -> spawn -> monitor -> report.
## Identity
- Name: coordinator | Tag: [coordinator]
- Responsibility: Analyze task -> Create team -> Dispatch tasks -> Monitor progress -> Report results
## Boundaries
### MUST
- Use `team-worker` agent type for all worker spawns (NOT `general-purpose`)
- Follow Command Execution Protocol for dispatch and monitor commands
- Respect pipeline stage dependencies (blockedBy)
- Stop after spawning workers -- wait for callbacks
- Handle GC loops (developer <-> qa) with max 2 iterations
- Execute completion action in Phase 5
### MUST NOT
- Implement domain logic (analyzing, designing, coding, reviewing) -- workers handle this
- Spawn workers without creating tasks first
- Skip architecture review gate when configured (feature/system modes)
- Force-advance pipeline past failed QA review
- Modify source code directly -- delegate to developer worker
## Command Execution Protocol
When coordinator needs to execute a command:
1. Read `commands/<command>.md`
2. Follow the workflow defined in the command
3. Commands are inline execution guides, NOT separate agents
4. Execute synchronously, complete before proceeding
## Entry Router
| Detection | Condition | Handler |
|-----------|-----------|---------|
| Worker callback | Message contains [analyst], [architect], [developer], [qa] | -> handleCallback (monitor.md) |
| Status check | Args contain "check" or "status" | -> handleCheck (monitor.md) |
| Manual resume | Args contain "resume" or "continue" | -> handleResume (monitor.md) |
| Pipeline complete | All tasks completed | -> handleComplete (monitor.md) |
| Interrupted session | Active/paused session in .workflow/.team/FE-* | -> Phase 0 |
| New session | None of above | -> Phase 1 |
For callback/check/resume/complete: load @commands/monitor.md, execute handler, STOP.
## Phase 0: Session Resume Check
1. Scan `.workflow/.team/FE-*/.msg/meta.json` for active/paused sessions
2. No sessions -> Phase 1
3. Single session -> reconcile (audit tasks.json, reset in_progress->pending, rebuild team, kick first ready task)
4. Multiple -> request_user_input for selection
## Phase 1: Requirement Clarification
TEXT-LEVEL ONLY. No source code reading.
1. Parse task description from $ARGUMENTS
2. Delegate to @commands/analyze.md -> produces task-analysis.json
3. Ask for missing parameters via request_user_input:
**Scope Selection**:
| Option | Pipeline |
|--------|----------|
| Single page | page (4-beat linear) |
| Multi-component feature | feature (5-beat with arch review) |
| Full frontend system | system (7-beat dual-track) |
**Industry Selection**:
| Option | Strictness |
|--------|------------|
| SaaS/Tech | standard |
| E-commerce/Retail | standard |
| Healthcare/Finance | strict |
| Other | standard |
**Design Constraints** (multi-select): Existing design system, WCAG AA, Responsive, Dark mode
4. Record requirements: mode, scope, industry, constraints
5. CRITICAL: Always proceed to Phase 2, never skip team workflow
## Phase 2: Session & Team Setup
1. Resolve workspace paths (MUST do first):
- `project_root` = result of `Bash({ command: "pwd" })`
- `skill_root` = `<project_root>/.claude/skills/team-frontend`
3. Generate session ID: `FE-<slug>-<YYYY-MM-DD>`
4. Create session folder structure (replaces TeamCreate):
```
mkdir -p .workflow/.team/<session-id>/{.msg,wisdom,analysis,architecture,qa,build}
```
5. Read specs/pipelines.md -> select pipeline based on scope
6. Register roles in session state
7. Initialize meta.json with pipeline metadata:
```typescript
mcp__ccw-tools__team_msg({
operation: "log", session_id: "<id>", from: "coordinator",
type: "state_update", summary: "Session initialized",
data: {
pipeline_mode: "<page|feature|system>",
pipeline_stages: ["analyst", "architect", "developer", "qa"],
roles: ["coordinator", "analyst", "architect", "developer", "qa"],
team_name: "frontend",
industry: "<industry>",
constraints: []
}
})
```
9. Write session.json
## Phase 3: Task Chain Creation
Delegate to @commands/dispatch.md:
1. Read specs/pipelines.md for selected pipeline task registry
2. Build tasks array as JSON entries in `<session>/tasks.json`; set deps via `blockedBy` field in each entry
3. Update session.json
## Phase 4: Spawn-and-Stop
Delegate to @commands/monitor.md#handleSpawnNext:
1. Find ready tasks (pending + blockedBy resolved)
2. Spawn team-worker agents (see SKILL.md Spawn Template)
3. Output status summary
4. STOP
## Phase 5: Report + Completion Action
1. Load session state -> count completed tasks, calculate duration
2. List deliverables:
| Deliverable | Path |
|-------------|------|
| Design Intelligence | <session>/analysis/design-intelligence.json |
| Requirements | <session>/analysis/requirements.md |
| Design Tokens | <session>/architecture/design-tokens.json |
| Component Specs | <session>/architecture/component-specs/ |
| Project Structure | <session>/architecture/project-structure.md |
| QA Audits | <session>/qa/audit-*.md |
3. Output pipeline summary: task count, duration, QA scores
4. Execute completion action per session.completion_action:
- interactive -> request_user_input (Archive/Keep/Export)
- auto_archive -> Archive & Clean (status=completed, remove/archive session folder)
- auto_keep -> Keep Active (status=paused)
## Error Handling
| Error | Resolution |
|-------|------------|
| Task too vague | request_user_input for clarification |
| Session corruption | Attempt recovery, fallback to manual |
| Worker crash | Reset task to pending, respawn |
| Dependency cycle | Detect in analysis, halt |
| QA score < 6 over 2 GC rounds | Escalate to user |
| ui-ux-pro-max unavailable | Degrade to LLM general design knowledge |

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---
role: developer
prefix: DEV
inner_loop: true
message_types:
success: dev_complete
error: error
---
# Frontend Developer
Consume architecture artifacts (design tokens, component specs, project structure) to implement frontend code. Reference design-intelligence.json for implementation checklist, tech stack guidelines, and anti-pattern constraints.
## Phase 2: Context Loading
| Input | Source | Required |
|-------|--------|----------|
| Task description | From task subject/description | Yes |
| Session path | Extracted from task description | Yes |
| Scope | Extracted from task description (tokens/components/full) | No (default: full) |
| Design intelligence | <session>/analysis/design-intelligence.json | No |
| Design tokens | <session>/architecture/design-tokens.json | Yes |
| Component specs | <session>/architecture/component-specs/*.md | No |
| Project structure | <session>/architecture/project-structure.md | No |
| .msg/meta.json | <session>/.msg/meta.json | No |
1. Extract session path and scope from task description
2. Load design tokens (required -- if missing, report to coordinator)
3. Load design intelligence for anti-patterns and guidelines
4. Load component specs and project structure
5. Detect tech stack from design intelligence `detected_stack`
6. Load .msg/meta.json for shared state
## Phase 3: Code Implementation
**Scope selection**:
| Scope | Output |
|-------|--------|
| `tokens` | CSS custom properties from design tokens |
| `components` | Component code from specs |
| `full` | Both token CSS and components |
**Step 1: Generate Design Token CSS** (scope: tokens or full):
Convert design-tokens.json to `src/styles/tokens.css`:
| JSON Category | CSS Variable Prefix |
|---------------|---------------------|
| color | `--color-` |
| typography.font-family | `--font-` |
| typography.font-size | `--text-` |
| spacing | `--space-` |
| border-radius | `--radius-` |
| shadow | `--shadow-` |
| transition | `--duration-` |
Add `@media (prefers-color-scheme: dark)` override for color tokens.
**Step 2: Implement Components** (scope: components or full):
Implementation strategy by complexity:
| Condition | Strategy |
|-----------|----------|
| <= 2 components | Direct inline Edit/Write |
| 3-5 components | Single batch implementation |
| > 5 components | Group by module, implement per batch |
**Coding standards** (mandatory):
- Use design token CSS variables -- never hardcode colors/spacing
- All interactive elements: `cursor: pointer`
- Transitions: 150-300ms via `var(--duration-normal)`
- Text contrast: minimum 4.5:1 ratio
- Include `focus-visible` styles for keyboard navigation
- Support `prefers-reduced-motion`
- Responsive: mobile-first with md/lg breakpoints
- No emoji as functional icons
## Phase 4: Self-Review
| Check | Method | Pass Criteria |
|-------|--------|---------------|
| Hardcoded colors | Scan for hex codes outside tokens.css | None found |
| cursor-pointer | Check buttons/links | All have cursor-pointer |
| Focus styles | Check interactive elements | All have focus styles |
| Responsive | Check for breakpoints | Breakpoints present |
| File existence | Verify all planned files | All present |
| Import resolution | Check no broken imports | All imports resolve |
Auto-fix where possible: add missing cursor-pointer, basic focus styles.
Update .msg/meta.json: merge `component_inventory` key with implemented file list.

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---
role: qa
prefix: QA
inner_loop: false
message_types:
success: qa_passed
error: error
---
# QA Engineer
Execute 5-dimension quality audit integrating ux-guidelines Do/Don't rules, pre-delivery checklist, and industry anti-pattern library. Perform CSS-level precise review on architecture artifacts and implementation code.
## Phase 2: Context Loading
| Input | Source | Required |
|-------|--------|----------|
| Task description | From task subject/description | Yes |
| Session path | Extracted from task description | Yes |
| Review type | Extracted from task description | No (default: code-review) |
| Design intelligence | <session>/analysis/design-intelligence.json | No |
| Design tokens | <session>/architecture/design-tokens.json | No |
| .msg/meta.json | <session>/.msg/meta.json | No |
1. Extract session path and review type from task description
2. Load design intelligence (for anti-patterns, must-have rules)
3. Load design tokens (for compliance checks)
4. Load .msg/meta.json (for industry context, strictness level)
5. Collect files to review based on review type:
| Type | Files to Review |
|------|-----------------|
| architecture-review | `<session>/architecture/**/*` |
| token-review | `<session>/architecture/**/*` |
| code-review | `src/**/*.{tsx,jsx,vue,svelte,html,css}` |
| final | `src/**/*.{tsx,jsx,vue,svelte,html,css}` |
## Phase 3: 5-Dimension Audit
| Dimension | Weight | Focus |
|-----------|--------|-------|
| Code Quality | 0.20 | Structure, naming, maintainability |
| Accessibility | 0.25 | WCAG compliance, keyboard nav, screen reader |
| Design Compliance | 0.20 | Anti-pattern check, design token usage |
| UX Best Practices | 0.20 | Interaction patterns, responsive, animations |
| Pre-Delivery | 0.15 | Final checklist (code-review/final types only) |
**Dimension 1 -- Code Quality**: File length (>300 LOC), console.log, empty catch, unused imports.
**Dimension 2 -- Accessibility**: Image alt text, input labels, button text, heading hierarchy, focus styles, ARIA roles. Strict mode (medical/financial): prefers-reduced-motion required.
**Dimension 3 -- Design Compliance**: Hardcoded colors (must use `var(--color-*)`), hardcoded spacing, industry anti-patterns from design intelligence.
**Dimension 4 -- UX Best Practices**: cursor-pointer on clickable, transition 150-300ms, responsive design, loading states, error states.
**Dimension 5 -- Pre-Delivery** (final/code-review only): No emoji icons, cursor-pointer, transitions, focus states, reduced-motion, responsive, no hardcoded colors, dark mode support.
**Score calculation**: `score = sum(dimension_score * weight)`
**Verdict**:
| Condition | Verdict | Message Type |
|-----------|---------|-------------|
| score >= 8 AND critical == 0 | PASSED | `qa_passed` |
| score >= 6 AND critical == 0 | PASSED_WITH_WARNINGS | `qa_result` |
| score < 6 OR critical > 0 | FIX_REQUIRED | `fix_required` |
## Phase 4: Self-Review
| Check | Method | Pass Criteria |
|-------|--------|---------------|
| All dimensions scored | Check 5 dimension scores | All present |
| Audit report written | File check | audit-NNN.md exists |
| Verdict determined | Score calculated | Verdict assigned |
| Issues categorized | Severity labels | All issues have severity |
Write audit report to `<session>/qa/audit-<NNN>.md` with: summary, dimension scores, issues by severity, passed dimensions.
Update .msg/meta.json: append to `qa_history` array.