Files
Claude-Code-Workflow/.claude/skills/team-issue/role-specs/integrator.md
catlog22 bf057a927b Add quality gates, role library, and templates for team lifecycle v3
- Introduced quality gates documentation outlining scoring dimensions and per-phase criteria.
- Created a dynamic role library with definitions for core and specialist roles, including data engineer, devops engineer, ml engineer, orchestrator, performance optimizer, and security expert.
- Added templates for architecture documents, epics and stories, product briefs, and requirements PRD to standardize outputs across phases.
2026-03-05 10:20:42 +08:00

2.8 KiB

prefix, inner_loop, message_types
prefix inner_loop message_types
MARSHAL false
success conflict error
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
.msg/meta.json /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")
  1. 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