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Get Started Free →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 ".
.claude/skills/team-coordinate/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-11 | ✗→✓ | ▲ Improved | — | — |
| case-10 | ✗→✓ | ▲ Improved | — | — |
| case-20 | ✗→✓ | ▲ Improved | — | — |
| case-13 | ✗→✓ | ▲ Improved | — | — |
| case-07 | ✗→✓ | ▲ Improved | — | — |
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.
+---------------------------------------------------+
| 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| 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 |
This skill is coordinator-only. Workers do NOT invoke this skill -- they are spawned as team-worker agents directly.
Parse $ARGUMENTS. No --role needed -- always routes to coordinator.
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 |
Tech Profile Scan: When generating role-specs for analysis/exploration roles (responsibility_type includes "analysis", "exploration", or "research"), append to Phase 3: > After exploration, include tech_profile in state_update with detected signals (e.g., sql_detected, auth_detected, perf_sensitive) and evidence file paths. This enables coordinator to evaluate specialist injection needs.
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 |
Always route to coordinator. Coordinator reads roles/coordinator/role.md and executes its phases.
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 -> SendMessage callback -> coordinator advances next step
-> Loop until pipeline complete -> Phase 5 report + completion actionUser 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 |
When coordinator spawns workers, use team-worker agent with role-spec path:
Agent({
subagent_type: "team-worker",
description: "Spawn <role> worker",
team_name: <team-name>,
name: "<role>",
run_in_background: true,
prompt: `## Role Assignment
role: <role>
role_spec: <session-folder>/role-specs/<role>.md
session: <session-folder>
session_id: <session-id>
team_name: <team-name>
requirement: <task-description>
inner_loop: <true|false>
## Progress Milestones
session_id: <session-id>
Report progress via team_msg at natural phase boundaries (context loaded -> core work done -> verification).
Report blockers immediately via team_msg type="blocker".
Report completion via team_msg type="task_complete" after final SendMessage.
Read role_spec file to load Phase 2-4 domain instructions.
Execute built-in Phase 1 (task discovery) -> role-spec Phase 2-4 -> built-in Phase 5 (report).`
})Inner Loop: Determined per-task from task description InnerLoop: field, not per-role:
inner_loop: true — single worker loopsinner_loop: false — separate workers per taskinner_loop: falseWhen pipeline completes (all tasks done), coordinator presents an interactive choice:
AskUserQuestion({
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" }
]
}]
})| Choice | Steps | |--------|-------| | Archive & Clean | Update session status="completed" -> TeamDelete -> output final summary with artifact paths | | Keep Active | Update session status="paused" -> output: "Resume with: Skill(skill='team-coordinate', args='resume')" | | Export Results | AskUserQuestion(target path) -> copy artifacts to target -> Archive & Clean |
| 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 |
.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>.mdjson{ "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>" }
Coordinator supports resume / continue for interrupted sessions:
.workflow/.team/TC-*/team-session.json for active/paused sessions| 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 |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-04 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-11 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-10 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-20 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-03 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-02 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-13 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-07 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-19 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-05 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-08 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-01 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-12 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-22 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-14 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-09 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-17 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-23 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-21 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-06 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-15 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-16 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-18 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted, and 19 counted toward the lift figure. The other 4 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +57 percentage points is the difference between those two pass rates over the 19 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
The per-case answers from this run were removed by the retention sweep, so the case table below shows the verdicts without the text either arm produced. The counts above were recorded at the time and are unaffected. Answers are now kept for 180 days.
Other measured skills in the registry, with their headline benchmark lift.