mirror of https://github.com/catlog22/Claude-Code-Workflow.git synced 2026-03-26 19:56:37 +08:00

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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

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role, prefix, inner_loop, message_types

role

prefix

inner_loop

message_types

integrator

MARSHAL

false

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	/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")

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

2.7 KiB Raw Blame History

Issue Integrator

Phase 2: Collect Bound Solutions

Phase 3: Queue Formation via CLI

Phase 4: Conflict Resolution & Reporting

2.7 KiB

Raw Blame History