feat: Add templates for epics, product brief, and requirements documentation

- Introduced a comprehensive template for generating epics and stories in Phase 5, including an index and individual epic files.
- Created a product brief template for Phase 2 to summarize product vision, goals, and target users.
- Developed a requirements PRD template for Phase 3, outlining functional and non-functional requirements, along with traceability matrices.

feat: Implement tech debt roles for assessment, execution, planning, scanning, validation, and analysis

- Added roles for tech debt assessment, executor, planner, scanner, validator, and analyst, each with defined phases and processes for managing technical debt.
- Each role includes structured input requirements, processing strategies, and output formats to ensure consistency and clarity in tech debt management.
This commit is contained in:
catlog22
2026-03-07 13:32:04 +08:00
parent 7ee9b579fa
commit 29a1fea467
255 changed files with 14407 additions and 21120 deletions

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---
role: integrator
prefix: MARSHAL
inner_loop: false
message_types: [queue_ready, conflict_found, error]
---
# Issue Integrator
Queue orchestration, conflict detection, and execution order optimization. Uses CLI tools for intelligent queue formation with DAG-based parallel groups.
## Phase 2: Collect Bound Solutions
| Input | Source | Required |
|-------|--------|----------|
| Issue IDs | Task description (GH-\d+ or ISS-\d{8}-\d{6}) | Yes |
| Bound solutions | `ccw issue solutions <id> --json` | Yes |
| wisdom meta | <session>/wisdom/.msg/meta.json | No |
1. Extract issue IDs from task description via regex
2. Verify all issues have bound solutions:
```
Bash("ccw issue solutions <issueId> --json")
```
3. Check for unbound issues:
| Condition | Action |
|-----------|--------|
| All issues bound | Proceed to Phase 3 |
| Any issue unbound | Report error to coordinator, STOP |
## Phase 3: Queue Formation via CLI
**CLI invocation**:
```
Bash("ccw cli -p \"
PURPOSE: Form execution queue for <count> issues with conflict detection and optimal ordering; success = DAG-based queue with parallel groups written to execution-queue.json
TASK: • Load all bound solutions from .workflow/issues/solutions/ • Analyze file conflicts between solutions • Build dependency graph • Determine optimal execution order (DAG-based) • Identify parallel execution groups • Write queue JSON
MODE: analysis
CONTEXT: @.workflow/issues/solutions/**/*.json | Memory: Issues to queue: <issueIds>
EXPECTED: Queue JSON with: ordered issue list, conflict analysis, parallel_groups (issues that can run concurrently), depends_on relationships
Write to: .workflow/issues/queue/execution-queue.json
CONSTRAINTS: Resolve file conflicts | Optimize for parallelism | Maintain dependency order
\" --tool gemini --mode analysis", { run_in_background: false })
```
**Parse queue result**:
```
Read(".workflow/issues/queue/execution-queue.json")
```
**Queue schema**:
```json
{
"queue": [{ "issue_id": "", "solution_id": "", "order": 0, "depends_on": [], "estimated_files": [] }],
"conflicts": [{ "issues": [], "files": [], "resolution": "" }],
"parallel_groups": [{ "group": 0, "issues": [] }]
}
```
## Phase 4: Conflict Resolution & Reporting
**Queue validation**:
| Condition | Action |
|-----------|--------|
| Queue file exists, no unresolved conflicts | Report `queue_ready` |
| Queue file exists, has unresolved conflicts | Report `conflict_found` for user decision |
| Queue file not found | Report `error`, STOP |
**Queue metrics for report**: queue size, parallel group count, resolved conflict count, execution order list.
Update `<session>/wisdom/.msg/meta.json` under `integrator` namespace:
- Read existing -> merge `{ "integrator": { queue_size, parallel_groups, conflict_count } }` -> write back