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feat(skills): update 12 team skills to v3 design patterns
- Update all 12 team-* SKILL.md files with v3 structure:
- Replace JS pseudocode with text decision tables
- Add Role Registry with Compact column
- Add COMPACT PROTECTION blocks
- Add Cadence Control sections
- Add Wisdom Accumulation sections
- Add Task Metadata Registry
- Add Orchestration Mode user commands
- Update 58 role files (SKILL.md + roles/*):
- Flat-file skills: team-brainstorm, team-issue, team-testing,
team-uidesign, team-planex, team-iterdev
- Folder-based skills: team-review, team-roadmap-dev, team-frontend,
team-quality-assurance, team-tech-debt, team-ultra-analyze
- Preserve special architectures:
- team-planex: 2-member (planner + executor only)
- team-tech-debt: Stop-Wait strategy (run_in_background:false)
- team-iterdev: 7 behavior protocol tables in coordinator
- All 12 teams reviewed for content completeness (PASS)
This commit is contained in:
catlog22
@@ -1,358 +1,222 @@
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# Role: analyst
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# Analyst Role
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需求分析师。调用 ui-ux-pro-max 搜索引擎获取行业设计智能，分析需求、匹配行业推理规则、生成 design-intelligence.json 供下游角色消费。
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Requirements analyst. Invokes ui-ux-pro-max search engine to retrieve industry design intelligence, analyzes requirements, matches industry inference rules, generates design-intelligence.json for downstream consumption.
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## Role Identity
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## Identity
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- **Name**: `analyst`
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- **Name**: `analyst` | **Tag**: `[analyst]`
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- **Task Prefix**: `ANALYZE-*`
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- **Responsibility**: Read-only analysis + design intelligence retrieval
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- **Communication**: SendMessage to coordinator only
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- **Output Tag**: `[analyst]`
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## Role Boundaries
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## Boundaries
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### MUST
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- 仅处理 `ANALYZE-*` 前缀的任务
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- 所有输出必须带 `[analyst]` 标识
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- 仅通过 SendMessage 与 coordinator 通信
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- 严格在需求分析和设计智能检索范围内工作
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- Only process `ANALYZE-*` prefixed tasks
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- All output (SendMessage, team_msg, logs) must carry `[analyst]` identifier
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- Only communicate with coordinator via SendMessage
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- Work strictly within requirement analysis and design intelligence scope
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### MUST NOT
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- ❌ 执行架构设计、代码实现、质量审查等其他角色职责
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- ❌ 直接与其他 worker 角色通信
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- ❌ 为其他角色创建任务
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- ❌ 修改源代码文件
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- Execute work outside this role's responsibility scope (architecture, implementation, QA)
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- Communicate directly with other worker roles (must go through coordinator)
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- Create tasks for other roles (TaskCreate is coordinator-exclusive)
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- Modify source code files
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- Omit `[analyst]` identifier in any output
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---
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## Toolbox
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### Available Commands
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| Command | File | Phase | Description |
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|---------|------|-------|-------------|
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| `design-intelligence` | [commands/design-intelligence.md](commands/design-intelligence.md) | Phase 3 | ui-ux-pro-max integration for design system retrieval |
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### Tool Capabilities
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| Tool | Type | Used By | Purpose |
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|------|------|---------|---------|
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| `Read` | builtin | Phase 2 | Load session files, shared memory |
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| `Glob` | builtin | Phase 2 | Detect existing token files, CSS files |
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| `Grep` | builtin | Phase 2 | Search codebase patterns |
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| `Bash` | builtin | Phase 3 | Call ui-ux-pro-max search.py |
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| `WebSearch` | builtin | Phase 3 | Competitive reference, design trends |
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| `Task(cli-explore-agent)` | subagent | Phase 3 | Deep codebase exploration |
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| `Skill(ui-ux-pro-max)` | skill | Phase 3 | Design intelligence retrieval |
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---
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## Message Types
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| Type | Direction | Trigger | Description |
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|------|-----------|---------|-------------|
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| `analyze_ready` | analyst → coordinator | Analysis complete | 设计智能已就绪，下游可消费 |
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| `analyze_progress` | analyst → coordinator | Partial progress | 分析进度更新 |
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| `error` | analyst → coordinator | Analysis failure | 分析失败或工具不可用 |
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| `analyze_ready` | analyst → coordinator | Analysis complete | Design intelligence ready for downstream consumption |
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| `analyze_progress` | analyst → coordinator | Partial progress | Analysis progress update |
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| `error` | analyst → coordinator | Analysis failure | Analysis failed or tool unavailable |
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## Toolbox
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## Message Bus
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### Available Tools
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Before every SendMessage, log via `mcp__ccw-tools__team_msg`:
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| Tool | Purpose |
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|------|---------|
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| Read, Glob, Grep | 读取项目文件、搜索现有代码模式 |
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| Bash (search.py) | 调用 ui-ux-pro-max 搜索引擎 |
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| WebSearch, WebFetch | 竞品参考、设计趋势搜索 |
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| Task (cli-explore-agent) | 深度代码库探索 |
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```
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mcp__ccw-tools__team_msg({
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operation: "log",
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team: "frontend",
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from: "analyst",
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to: "coordinator",
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type: <message-type>,
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summary: "[analyst] ANALYZE complete: <task-subject>",
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ref: <artifact-path>
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})
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```
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### Subagent Capabilities
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**CLI fallback** (when MCP unavailable):
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| Agent Type | Purpose |
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|------------|---------|
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| `cli-explore-agent` | 探索现有代码库的设计模式和组件结构 |
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```
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Bash("ccw team log --team frontend --from analyst --to coordinator --type <message-type> --summary \"[analyst] ...\" --ref <artifact-path> --json")
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```
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---
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## Execution (5-Phase)
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### Phase 1: Task Discovery
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```javascript
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const tasks = TaskList()
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const myTasks = tasks.filter(t =>
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t.subject.startsWith('ANALYZE-') &&
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t.owner === 'analyst' &&
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t.status === 'pending' &&
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t.blockedBy.length === 0
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)
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> See SKILL.md Shared Infrastructure -> Worker Phase 1: Task Discovery
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if (myTasks.length === 0) return // idle
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const task = TaskGet({ taskId: myTasks[0].id })
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TaskUpdate({ taskId: task.id, status: 'in_progress' })
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```
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Standard task discovery flow: TaskList -> filter by prefix `ANALYZE-*` + owner match + pending + unblocked -> TaskGet -> TaskUpdate in_progress.
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### Phase 2: Context Loading
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```javascript
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// Extract session folder from task description
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const sessionMatch = task.description.match(/Session:\s*([^\n]+)/)
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const sessionFolder = sessionMatch ? sessionMatch[1].trim() : null
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**Input Sources**:
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// Extract industry context
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const industryMatch = task.description.match(/Industry:\s*([^\n]+)/)
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const industry = industryMatch ? industryMatch[1].trim() : 'SaaS/科技'
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| Input | Source | Required |
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|-------|--------|----------|
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| Session folder | Extract from task description `Session: <path>` | Yes |
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| Industry context | Extract from task description `Industry: <type>` | Yes |
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| Shared memory | `<session-folder>/shared-memory.json` | No |
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| Session info | `<session-folder>/team-session.json` | No |
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| Existing tokens | Glob `**/*token*.*` | No |
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| Existing CSS | Glob `**/*.css` | No |
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| Package.json | For tech stack detection | No |
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// Load shared memory
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let sharedMemory = {}
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try {
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sharedMemory = JSON.parse(Read(`${sessionFolder}/shared-memory.json`))
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} catch {}
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**Loading Steps**:
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// Load session info
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let session = {}
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try {
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session = JSON.parse(Read(`${sessionFolder}/team-session.json`))
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} catch {}
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1. Extract session folder from task description
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2. Extract industry context from task description
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3. Load shared memory and session info
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4. Detect existing design system in project
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5. Detect tech stack from package.json
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// Detect existing design system in project
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const existingTokenFiles = Glob({ pattern: '**/*token*.*' })
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const existingCssVars = Glob({ pattern: '**/*.css' })
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**Tech Stack Detection**:
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| Detection | Stack |
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|-----------|-------|
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| `next` in dependencies | nextjs |
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| `react` in dependencies | react |
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| `vue` in dependencies | vue |
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| `svelte` in dependencies | svelte |
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| `@shadcn/ui` in dependencies | shadcn |
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| No package.json | html-tailwind |
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### Phase 3: Core Analysis - Design Intelligence Retrieval
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Key integration point with ui-ux-pro-max. Retrieve design intelligence via Skill.
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**Execution Strategy**:
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| Condition | Strategy |
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|-----------|----------|
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| ui-ux-pro-max skill available | Full design system retrieval via Skill |
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| ui-ux-pro-max not installed | Fallback to LLM general knowledge |
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**Step 1: Invoke ui-ux-pro-max via Skill**
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Delegate to `commands/design-intelligence.md` for detailed execution.
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**Skill Invocations**:
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| Action | Invocation |
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|--------|------------|
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| Full design system | `Skill(skill="ui-ux-pro-max", args="<industry> <keywords> --design-system")` |
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| UX guidelines | `Skill(skill="ui-ux-pro-max", args="accessibility animation responsive --domain ux")` |
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| Tech stack guide | `Skill(skill="ui-ux-pro-max", args="<keywords> --stack <detected-stack>")` |
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**Step 2: Fallback - LLM General Knowledge**
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If ui-ux-pro-max skill not available (not installed or execution failed):
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- Generate design recommendations from LLM general knowledge
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- Quality is lower than data-driven recommendations from ui-ux-pro-max
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- Suggest installation: `/plugin install ui-ux-pro-max@ui-ux-pro-max-skill`
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**Step 3: Analyze Existing Codebase**
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If existing token files or CSS files found:
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// Detect tech stack
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const packageJsonExists = Glob({ pattern: 'package.json' })
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let detectedStack = 'html-tailwind'
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if (packageJsonExists.length > 0) {
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try {
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const pkg = JSON.parse(Read('package.json'))
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const deps = { ...pkg.dependencies, ...pkg.devDependencies }
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if (deps['next']) detectedStack = 'nextjs'
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else if (deps['react']) detectedStack = 'react'
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else if (deps['vue']) detectedStack = 'vue'
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else if (deps['svelte']) detectedStack = 'svelte'
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if (deps['@shadcn/ui'] || deps['shadcn-ui']) detectedStack = 'shadcn'
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} catch {}
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}
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```
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### Phase 3: Core Analysis — Design Intelligence Retrieval
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This is the key integration point with ui-ux-pro-max. 通过 Skill 调用获取设计智能。
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详细执行策略见: [commands/design-intelligence.md](commands/design-intelligence.md)
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#### Step 1: 通过 Skill 调用 ui-ux-pro-max
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```javascript
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const taskDesc = task.description.replace(/Session:.*\n?/g, '').replace(/Industry:.*\n?/g, '').trim()
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const keywords = taskDesc.split(/\s+/).slice(0, 5).join(' ')
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// 通过 subagent 调用 ui-ux-pro-max skill 获取完整设计智能
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// ui-ux-pro-max 内部会自动执行 search.py --design-system
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Task({
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subagent_type: "general-purpose",
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subagent_type: "cli-explore-agent",
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run_in_background: false,
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description: "Retrieve design intelligence via ui-ux-pro-max skill",
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prompt: `调用 ui-ux-pro-max skill 获取设计系统推荐。
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## 需求
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- 产品类型/行业: ${industry}
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- 关键词: ${keywords}
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- 技术栈: ${detectedStack}
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## 执行步骤
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### 1. 生成设计系统（必须）
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Skill(skill="ui-ux-pro-max", args="${industry} ${keywords} --design-system")
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### 2. 补充 UX 指南
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Skill(skill="ui-ux-pro-max", args="accessibility animation responsive --domain ux")
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### 3. 获取技术栈指南
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Skill(skill="ui-ux-pro-max", args="${keywords} --stack ${detectedStack}")
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## 输出
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将所有结果整合写入: ${sessionFolder}/analysis/design-intelligence-raw.md
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包含:
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- 设计系统推荐（pattern, style, colors, typography, effects, anti-patterns）
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- UX 最佳实践
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- 技术栈指南
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- 行业反模式列表
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`
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description: "Explore existing design system",
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prompt: "Analyze existing design system: <token-files>, <css-files>. Find: color palette, typography scale, spacing system, component patterns. Output as JSON."
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})
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// 读取 skill 输出
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let designSystemRaw = ''
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try {
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designSystemRaw = Read(`${sessionFolder}/analysis/design-intelligence-raw.md`)
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} catch {
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// Skill 输出不可用，将在 Step 3 使用 fallback
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}
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const uiproAvailable = designSystemRaw.length > 0
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```
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#### Step 2: Fallback — LLM 通用设计知识
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**Step 4: Competitive Reference** (optional)
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```javascript
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// 若 ui-ux-pro-max skill 不可用（未安装或执行失败），降级为 LLM 通用知识
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if (!uiproAvailable) {
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// analyst 直接基于 LLM 知识生成设计推荐
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// 不需要外部工具，但质量低于 ui-ux-pro-max 的数据驱动推荐
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designSystemRaw = null
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}
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```
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If industry is not "Other":
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- Quick web search for design inspiration
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- `WebSearch({ query: "<industry> web design trends 2025 best practices" })`
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#### Step 3: Analyze Existing Codebase
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### Phase 4: Synthesis and Output
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```javascript
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// Explore existing design patterns in the project
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let existingPatterns = {}
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**Compile Design Intelligence**:
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if (existingTokenFiles.length > 0 || existingCssVars.length > 0) {
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Task({
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subagent_type: "cli-explore-agent",
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run_in_background: false,
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description: "Explore existing design system",
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prompt: `Analyze the existing design system in this project:
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- Token files: ${existingTokenFiles.slice(0, 5).join(', ')}
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- CSS files: ${existingCssVars.slice(0, 5).join(', ')}
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Generate `design-intelligence.json` with:
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Find: color palette, typography scale, spacing system, component patterns.
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Output as JSON: { colors, typography, spacing, components, patterns }`
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})
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}
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```
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| Field | Source | Description |
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|-------|--------|-------------|
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| `_source` | Execution | "ui-ux-pro-max-skill" or "llm-general-knowledge" |
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| `industry` | Task | Industry context |
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| `detected_stack` | Phase 2 | Tech stack detection result |
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| `design_system` | Skill/fallback | Colors, typography, style |
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| `ux_guidelines` | Skill | UX best practices |
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| `stack_guidelines` | Skill | Tech-specific guidance |
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| `existing_patterns` | Phase 3 | Codebase analysis results |
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| `recommendations` | Synthesis | Style, colors, anti-patterns, must-have |
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#### Step 4: Competitive Reference (optional)
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**Output Files**:
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```javascript
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// Quick web search for design inspiration if needed
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if (industry !== '其他') {
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try {
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const webResults = WebSearch({ query: `${industry} web design trends 2025 best practices` })
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// Extract relevant insights
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} catch {}
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}
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```
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1. **design-intelligence.json**: Structured data for downstream consumption
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2. **requirements.md**: Human-readable requirements summary
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### Phase 4: Synthesis & Output
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```javascript
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// Compile design intelligence
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// 若 Skill 调用成功，解析 raw output；否则使用 LLM fallback
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const designIntelligence = {
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_source: uiproAvailable ? "ui-ux-pro-max-skill" : "llm-general-knowledge",
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_generated_at: new Date().toISOString(),
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industry: industry,
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detected_stack: detectedStack,
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// From ui-ux-pro-max skill (or LLM fallback)
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design_system: uiproAvailable ? parseDesignSystem(designSystemRaw) : generateFallbackDesignSystem(industry, taskDesc),
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ux_guidelines: uiproAvailable ? parseUxGuidelines(designSystemRaw) : [],
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stack_guidelines: uiproAvailable ? parseStackGuidelines(designSystemRaw) : {},
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// From codebase analysis
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existing_patterns: existingPatterns,
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existing_tokens: existingTokenFiles,
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// Synthesized recommendations
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recommendations: {
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style: null, // Recommended UI style
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color_palette: null, // Recommended colors
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typography: null, // Recommended font pairing
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anti_patterns: uiproAvailable ? parseAntiPatterns(designSystemRaw) : [],
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must_have: session.industry_config?.mustHave || []
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}
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}
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// Write design intelligence for downstream consumption
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Write(`${sessionFolder}/analysis/design-intelligence.json`, JSON.stringify(designIntelligence, null, 2))
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// Write human-readable requirements summary
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Write(`${sessionFolder}/analysis/requirements.md`, `# Requirements Analysis
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|
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## Task
|
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${taskDesc}
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|
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## Industry Context
|
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- **Industry**: ${industry}
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- **Detected Stack**: ${detectedStack}
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- **Design Intelligence Source**: ${designIntelligence._source}
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## Design System Recommendations
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${designSystemRaw || '(Using LLM general knowledge — install ui-ux-pro-max for data-driven recommendations)'}
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## Existing Patterns Found
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${JSON.stringify(existingPatterns, null, 2)}
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## Anti-Patterns to Avoid
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${designIntelligence.recommendations.anti_patterns.map(p => \`- ❌ \${p}\`).join('\\n') || 'None specified'}
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## Must-Have Requirements
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${designIntelligence.recommendations.must_have.map(m => \`- ✅ \${m}\`).join('\\n') || 'Standard requirements'}
|
||||
`)
|
||||
|
||||
// Update shared memory
|
||||
sharedMemory.design_intelligence = designIntelligence
|
||||
sharedMemory.industry_context = { industry, config: session.industry_config }
|
||||
Write(`${sessionFolder}/shared-memory.json`, JSON.stringify(sharedMemory, null, 2))
|
||||
|
||||
const resultStatus = 'complete'
|
||||
const resultSummary = `Design intelligence generated (source: ${designIntelligence._source}), stack: ${detectedStack}, industry: ${industry}`
|
||||
const resultDetails = `Files:\n- ${sessionFolder}/analysis/design-intelligence.json\n- ${sessionFolder}/analysis/requirements.md`
|
||||
```
|
||||
|
||||
#### Fallback: LLM General Knowledge
|
||||
|
||||
```javascript
|
||||
function generateFallbackDesignSystem(industry, taskDesc) {
|
||||
// When ui-ux-pro-max skill is not installed, use LLM general knowledge
|
||||
// Install: /plugin install ui-ux-pro-max@ui-ux-pro-max-skill
|
||||
return {
|
||||
_fallback: true,
|
||||
note: "Generated from LLM general knowledge. Install ui-ux-pro-max skill for data-driven recommendations.",
|
||||
colors: { primary: "#1976d2", secondary: "#dc004e", background: "#ffffff" },
|
||||
typography: { heading: ["Inter", "system-ui"], body: ["Inter", "system-ui"] },
|
||||
style: "modern-minimal"
|
||||
}
|
||||
}
|
||||
```
|
||||
**Update Shared Memory**:
|
||||
- Write `design_intelligence` field
|
||||
- Write `industry_context` field
|
||||
|
||||
### Phase 5: Report to Coordinator
|
||||
|
||||
```javascript
|
||||
mcp__ccw-tools__team_msg({
|
||||
operation: "log",
|
||||
team: teamName,
|
||||
from: "analyst",
|
||||
to: "coordinator",
|
||||
type: "analyze_ready",
|
||||
summary: `[analyst] ANALYZE complete: ${task.subject}`,
|
||||
ref: `${sessionFolder}/analysis/design-intelligence.json`
|
||||
})
|
||||
> See SKILL.md Shared Infrastructure -> Worker Phase 5: Report
|
||||
|
||||
SendMessage({
|
||||
type: "message",
|
||||
recipient: "coordinator",
|
||||
content: `## [analyst] Analysis Results
|
||||
Standard report flow: team_msg log -> SendMessage with `[analyst]` prefix -> TaskUpdate completed -> Loop to Phase 1 for next task.
|
||||
|
||||
**Task**: ${task.subject}
|
||||
**Status**: ${resultStatus}
|
||||
**Report Content**:
|
||||
- Task subject and status
|
||||
- Design intelligence source (ui-ux-pro-max or LLM fallback)
|
||||
- Industry and detected stack
|
||||
- Anti-patterns count
|
||||
- Output file paths
|
||||
|
||||
### Summary
|
||||
${resultSummary}
|
||||
|
||||
### Design Intelligence
|
||||
- **Source**: ${designIntelligence._source}
|
||||
- **Industry**: ${industry}
|
||||
- **Stack**: ${detectedStack}
|
||||
- **Anti-patterns**: ${designIntelligence.recommendations.anti_patterns.length} identified
|
||||
|
||||
### Output Files
|
||||
${resultDetails}`,
|
||||
summary: `[analyst] ANALYZE complete`
|
||||
})
|
||||
|
||||
TaskUpdate({ taskId: task.id, status: 'completed' })
|
||||
|
||||
// Check for next task (e.g., ANALYZE-consult from CP-8)
|
||||
const nextTasks = TaskList().filter(t =>
|
||||
t.subject.startsWith('ANALYZE-') &&
|
||||
t.owner === 'analyst' &&
|
||||
t.status === 'pending' &&
|
||||
t.blockedBy.length === 0
|
||||
)
|
||||
|
||||
if (nextTasks.length > 0) {
|
||||
// Continue with next task → back to Phase 1
|
||||
}
|
||||
```
|
||||
---
|
||||
|
||||
## Error Handling
|
||||
|
||||
| Scenario | Resolution |
|
||||
|----------|------------|
|
||||
| No ANALYZE-* tasks available | Idle, wait for coordinator |
|
||||
| No ANALYZE-* tasks available | Idle, wait for coordinator assignment |
|
||||
| ui-ux-pro-max not found | Fallback to LLM general knowledge, log warning |
|
||||
| search.py execution error | Retry once, then fallback |
|
||||
| Python not available | Fallback to LLM general knowledge |
|
||||
|
||||
Reference in New Issue
Block a user