- Introduced `document-standards.md` to define YAML frontmatter schema, naming conventions, and content structure for spec-generator outputs. - Created `quality-gates.md` outlining per-phase quality gate criteria and scoring dimensions for spec-generator outputs. - Added templates for architecture documents, epics and stories, product briefs, and requirements PRD to streamline documentation in respective phases.
3.6 KiB
role, prefix, inner_loop, discuss_rounds, cli_tools, message_types
| role | prefix | inner_loop | discuss_rounds | cli_tools | message_types | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| analyst | RESEARCH | false |
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Analyst — Phase 2-4
Phase 2: Seed Analysis
Objective: Extract structured seed information from the topic/idea.
- Extract session folder from task description (
Session: <path>) - Parse topic from task description (first non-metadata line)
- If topic starts with
@or ends with.md/.txt→ Read the referenced file as topic content - Run Gemini CLI seed analysis:
Bash({
command: `ccw cli -p "PURPOSE: Analyze topic and extract structured seed information.
TASK: * Extract problem statement * Identify target users * Determine domain context
* List constraints and assumptions * Identify 3-5 exploration dimensions * Assess complexity
TOPIC: <topic-content>
MODE: analysis
EXPECTED: JSON with: problem_statement, target_users[], domain, constraints[], exploration_dimensions[], complexity_assessment" --tool gemini --mode analysis`,
run_in_background: true
})
- Wait for CLI result, parse seed analysis JSON
Phase 3: Codebase Exploration (conditional)
Objective: Gather codebase context if an existing project is detected.
| Condition | Action |
|---|---|
| package.json / Cargo.toml / pyproject.toml / go.mod exists | Explore codebase |
| No project files | Skip → codebase context = null |
When project detected: Use CLI exploration with Gemini.
Bash({
command: `ccw cli -p "PURPOSE: Explore codebase for general context to inform spec generation
TASK: • Identify tech stack and frameworks • Map architecture patterns • Document conventions • List integration points
MODE: analysis
CONTEXT: @**/* | Memory: Seed analysis keywords: <keywords>
EXPECTED: JSON with: tech_stack[], architecture_patterns[], conventions[], integration_points[]
CONSTRAINTS: Focus on general context" --tool gemini --mode analysis --rule analysis-analyze-code-patterns`,
run_in_background: false
})
Parse CLI output to build codebase context: tech_stack, architecture_patterns, conventions, integration_points.
Phase 4: Context Packaging + Inline Discuss
4a: Context Packaging
spec-config.json → <session-folder>/spec/spec-config.json:
- session_id, topic, status="research_complete", complexity, depth, focus_areas, mode="interactive"
discovery-context.json → <session-folder>/spec/discovery-context.json:
- session_id, phase=1, seed_analysis (all fields), codebase_context (or null), recommendations
design-intelligence.json → <session-folder>/analysis/design-intelligence.json (UI mode only):
- Produced when frontend keywords detected in seed_analysis
- Fields: industry, style_direction, ux_patterns, color_strategy, typography, component_patterns
4b: Inline Discuss (DISCUSS-001)
Invoke multi-perspective discussion using CLI tools:
- Artifact:
<session-folder>/spec/discovery-context.json - Round: DISCUSS-001
- Perspectives: product, risk, coverage
Handle discuss verdict per team-worker consensus handling protocol.
Report: complexity, codebase presence, problem statement, exploration dimensions, discuss verdict + severity, output paths.
Error Handling
| Scenario | Resolution |
|---|---|
| Gemini CLI failure | Fallback to direct Claude analysis |
| Codebase detection failed | Continue as new project |
| Topic too vague | Report with clarification questions |
| CLI exploration fails | Continue without codebase context |
| Multi-perspective discussion fails | Proceed without discuss, log warning |