Files
Claude-Code-Workflow/.codex/skills/team-coordinate/SKILL.md
catlog22 3111bd23f4 feat: add Delegation Lock and Scope Lock to all 18 team skill coordinators
Prevent coordinator from executing task work directly instead of
delegating to team_worker agents. Three-layer enforcement:

- SKILL.md: Delegation Lock table (ALLOWED/BLOCKED tool whitelist)
- coordinator/role.md: Scope Lock with concrete WRONG/OK examples
- MUST/MUST NOT: explicit "never skip to direct execution" + CLI ban

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 17:17:31 +08:00

10 KiB

name, description, allowed-tools
name description allowed-tools
team-coordinate Universal team coordination skill with dynamic role generation. Uses team-worker agent architecture with role-spec files. Only coordinator is built-in -- all worker roles are generated at runtime as role-specs and spawned via team-worker agent. Beat/cadence model for orchestration. Triggers on "Team Coordinate ". spawn_agent(*), wait_agent(*), send_input(*), close_agent(*), report_agent_job_result(*), request_user_input(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*)

Team Coordinate

Universal team coordination skill: analyze task -> generate role-specs -> dispatch -> execute -> deliver. Only the coordinator is built-in. All worker roles are dynamically generated as lightweight role-spec files and spawned via the team-worker agent.

Architecture

+---------------------------------------------------+
|  Skill(skill="team-coordinate")                 |
|  args="task description"                           |
+-------------------+-------------------------------+
                    |
         Orchestration Mode (auto -> coordinator)
                    |
              Coordinator (built-in)
              Phase 0-5 orchestration
                    |
    +-------+-------+-------+-------+
    v       v       v       v       v
 [team-worker agents, each loaded with a dynamic role-spec]
  (roles generated at runtime from task analysis)

  CLI Tools (callable by any worker):
    ccw cli --mode analysis  - analysis and exploration
    ccw cli --mode write     - code generation and modification

Delegation Lock

Coordinator is a PURE ORCHESTRATOR. It coordinates, it does NOT do.

Before calling ANY tool, apply this check:

Tool Call Verdict Reason
spawn_agent, wait_agent, close_agent, send_input ALLOWED Orchestration
request_user_input ALLOWED User interaction
mcp__ccw-tools__team_msg ALLOWED Message bus
Read/Write on .workflow/.team/ files ALLOWED Session state
Read on roles/, commands/, specs/ ALLOWED Loading own instructions
Read/Grep/Glob on project source code BLOCKED Delegate to worker
Edit on any file outside .workflow/ BLOCKED Delegate to worker
Bash("ccw cli ...") BLOCKED Only workers call CLI
Bash running build/test/lint commands BLOCKED Delegate to worker

If a tool call is BLOCKED: STOP. Create a task, spawn a worker.

No exceptions for "simple" tasks. Even a single-file read-and-report MUST go through spawn_agent. The overhead is the feature — it provides session tracking, artifact persistence, and resume capability.


Shared Constants

Constant Value
Session prefix TC
Session path .workflow/.team/TC-<slug>-<date>/
Worker agent team-worker
Message bus mcp__ccw-tools__team_msg(session_id=<session-id>, ...)
CLI analysis ccw cli --mode analysis
CLI write ccw cli --mode write
Max roles 5

Role Router

This skill is coordinator-only. Workers do NOT invoke this skill -- they are spawned as team-worker agents directly.

Input Parsing

Parse $ARGUMENTS. No --role needed -- always routes to coordinator.

Role Registry

Only coordinator is statically registered. All other roles are dynamic, stored as role-specs in session.

Role File Type
coordinator roles/coordinator/role.md built-in orchestrator
(dynamic) <session>/role-specs/<role-name>.md runtime-generated role-spec

CLI Tool Usage

Workers can use CLI tools for analysis and code operations:

Tool Purpose
ccw cli --mode analysis Analysis, exploration, pattern discovery
ccw cli --mode write Code generation, modification, refactoring

Dispatch

Always route to coordinator. Coordinator reads roles/coordinator/role.md and executes its phases.

Orchestration Mode

User just provides task description.

Invocation: Skill(skill="team-coordinate", args="task description")

Lifecycle:

User provides task description
  -> coordinator Phase 1: task analysis (detect capabilities, build dependency graph)
  -> coordinator Phase 2: generate role-specs + initialize session
  -> coordinator Phase 3: create task chain from dependency graph
  -> coordinator Phase 4: spawn first batch workers (background) -> STOP
  -> Worker executes -> callback -> coordinator advances next step
  -> Loop until pipeline complete -> Phase 5 report + completion action

User Commands (wake paused coordinator):

Command Action
check / status Output execution status graph, no advancement
resume / continue Check worker states, advance next step
revise <TASK-ID> [feedback] Revise specific task with optional feedback
feedback <text> Inject feedback into active pipeline
improve [dimension] Auto-improve weakest quality dimension

Coordinator Spawn Template

v2 Worker Spawn (all roles)

When coordinator spawns workers, use team-worker agent with role-spec path:

spawn_agent({
  agent_type: "team_worker",
  items: [
    { type: "text", text: `## Role Assignment
role: <role>
role_spec: <session-folder>/role-specs/<role>.md
session: <session-folder>
session_id: <session-id>
requirement: <task-description>
inner_loop: <true|false>

Read role_spec file to load Phase 2-4 domain instructions.` },

    { type: "text", text: `## Task Context
task_id: <task-id>
title: <task-title>
description: <task-description>
pipeline_phase: <pipeline-phase>` },

    { type: "text", text: `## Upstream Context
<prev_context>` }
  ]
})

After spawning, use wait_agent({ ids: [...], timeout_ms: 900000 }) to collect results, then close_agent({ id }) each worker.

Inner Loop roles (role has 2+ serial same-prefix tasks): Set inner_loop: true. The team-worker agent handles the loop internally.

Single-task roles: Set inner_loop: false.


Completion Action

When pipeline completes (all tasks done), coordinator presents an interactive choice:

request_user_input({
  questions: [{
    question: "Team pipeline complete. What would you like to do?",
    header: "Completion",
    multiSelect: false,
    options: [
      { label: "Archive & Clean (Recommended)", description: "Archive session, clean up team" },
      { label: "Keep Active", description: "Keep session for follow-up work" },
      { label: "Export Results", description: "Export deliverables to target directory, then clean" }
    ]
  }]
})

Action Handlers

Choice Steps
Archive & Clean Update session status="completed" -> output final summary with artifact paths
Keep Active Update session status="paused" -> output: "Resume with: Skill(skill='team-coordinate', args='resume')"
Export Results request_user_input(target path) -> copy artifacts to target -> Archive & Clean

Specs Reference

Spec Purpose
specs/pipelines.md Dynamic pipeline model, task naming, dependency graph
specs/role-spec-template.md Template for dynamic role-spec generation
specs/quality-gates.md Quality thresholds and scoring dimensions
specs/knowledge-transfer.md Context transfer protocols between roles

Session Directory

.workflow/.team/TC-<slug>-<date>/
+-- team-session.json           # Session state + dynamic role registry
+-- task-analysis.json          # Phase 1 output: capabilities, dependency graph
+-- role-specs/                 # Dynamic role-spec definitions (generated Phase 2)
|   +-- <role-1>.md             # Lightweight: frontmatter + Phase 2-4 only
|   +-- <role-2>.md
+-- artifacts/                  # All MD deliverables from workers
|   +-- <artifact>.md
+-- .msg/                       # Team message bus + state
|   +-- messages.jsonl          # Message log
|   +-- meta.json               # Session metadata + cross-role state
+-- wisdom/                     # Cross-task knowledge
|   +-- learnings.md
|   +-- decisions.md
|   +-- issues.md
+-- explorations/               # Shared explore cache
|   +-- cache-index.json
|   +-- explore-<angle>.json
+-- discussions/                # Inline discuss records
|   +-- <round>.md

team-session.json Schema

{
  "session_id": "TC-<slug>-<date>",
  "task_description": "<original user input>",
  "status": "active | paused | completed",
  "team_name": "<team-name>",
  "roles": [
    {
      "name": "<role-name>",
      "prefix": "<PREFIX>",
      "responsibility_type": "<type>",
      "inner_loop": false,
      "role_spec": "role-specs/<role-name>.md"
    }
  ],
  "pipeline": {
    "dependency_graph": {},
    "tasks_total": 0,
    "tasks_completed": 0
  },
  "active_workers": [],
  "completed_tasks": [],
  "completion_action": "interactive",
  "created_at": "<timestamp>"
}

Session Resume

Coordinator supports resume / continue for interrupted sessions:

  1. Scan .workflow/.team/TC-*/team-session.json for active/paused sessions
  2. Multiple matches -> request_user_input for selection
  3. Audit task states -> reconcile session state <-> task status
  4. Reset in_progress -> pending (interrupted tasks)
  5. Rebuild team and spawn needed workers only
  6. Create missing tasks, set dependencies
  7. Kick first executable task -> Phase 4 coordination loop

Error Handling

Scenario Resolution
Unknown command Error with available command list
Dynamic role-spec not found Error, coordinator may need to regenerate
Command file not found Fallback to inline execution
CLI tool fails Worker proceeds with direct implementation, logs warning
Explore cache corrupt Clear cache, re-explore
Fast-advance spawns wrong task Coordinator reconciles on next callback
capability_gap reported Coordinator generates new role-spec via handleAdapt
Completion action fails Default to Keep Active, log warning