Files
Claude-Code-Workflow/.codex/skills/team-frontend/roles/analyst/role.md
catlog22 1e560ab8e8 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>
2026-03-24 16:54:48 +08:00

3.2 KiB

role, prefix, inner_loop, message_types
role prefix inner_loop message_types
analyst ANALYZE false
success error
analyze_ready 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 /.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
  1. Detect tech stack from package.json:
Dependency Stack
next nextjs
react react
vue vue
svelte svelte
@shadcn/ui shadcn
(none) html-tailwind
  1. 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.