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- 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.
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2.8 KiB
prefix, inner_loop, additional_members, message_types
| prefix | inner_loop | additional_members | message_types | ||||||
|---|---|---|---|---|---|---|---|---|---|
| MARSHAL | false |
|
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 |
| .msg/meta.json | /wisdom/.msg/meta.json | No |
- Extract issue IDs from task description via regex
- Verify all issues have bound solutions:
Bash("ccw issue solutions <issueId> --json")
- 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: true })
Parse queue result:
Read(".workflow/issues/queue/execution-queue.json")
Queue schema:
{
"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