Agent skill

Team Coordinate

by catlog22 in catlog22/Claude-Code-Workflow

Universal team coordination skill with dynamic role generation.

MITAuto-check: notesAgent Workflows

Install Team Coordinate

skills CLI
$ npx skills add catlog22/Claude-Code-Workflow --skill team-coordinate -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install catlog22/Claude-Code-Workflow team-coordinate --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/catlog22/Claude-Code-Workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/team-coordinate .claude/skills/team-coordinate && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
team-coordinate
GitHub stars
2.1k
Token cost
~3.3k tokens
SKILL.md length
890 words
Files
9
Skills in repo
82
Repo updated
First seen
Licence
MIT

At a glance

Universal team coordination skill with dynamic role generation.

  • Works in 7 steps: Scan… → Multiple matches -> request_user_input… → Audit task states -> reconcile session… → …
  • Team Coordinate
  • SKILL.md covers Architecture, Delegation Lock, Shared Constants and Role Router, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Team Coordinate is an agent skill from catlog22/Claude-Code-Workflow. 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 ".

Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files (for example `roles/coordinator/commands/analyze-task.md`, `roles/coordinator/commands/dispatch.md` and `roles/coordinator/commands/monitor.md`).

It sits in Agent Workflows, covering Multi-agent orchestration. The repository describes itself as: JSON-driven multi-agent cadence-team development framework with intelligent CLI orchestration (Gemini/Qwen/Codex), context-first architecture, and automated workflow execution. The licence is MIT.

When your agent uses it

  • Team Coordinate
  • Tasks that involve Multi-agent orchestration

Example prompts

  • “Team Coordinate”
  • “/team-coordinate”

Requirements

  • Pre-approved tools (allowed-tools): spawn_agent(*), wait_agent(*), send_message(*), followup_task(*), close_agent(*), list_agents(*), report_agent_job_result(*), request_user_input(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*), mcp__ccw-tools__team_msg(*)

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit 07491b0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • spawn_agent(*)
    • wait_agent(*)
    • send_message(*)
    • followup_task(*)
    • close_agent(*)
    • list_agents(*)
    • report_agent_job_result(*)
    • request_user_input(*)
    • Read(*)
    • Write(*)

    …and 5 more on the same allowed-tools line.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Team Coordinate loads about 3.3k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 890 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: spawn_agent(*), wait_agent(*), send_message(*), followup_task(*), close_agent(*), list_agents(*), re

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from catlog22/Claude-Code-Workflow at commit 07491b0, republished under its MIT licence (© catlog22). 890 words, ~3,292 tokens.

Download SKILL.mdSave it as .claude/skills/team-coordinate/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
team-coordinate
description
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 ".
allowed-tools
spawn_agent(*), wait_agent(*), send_message(*), followup_task(*), close_agent(*), list_agents(*), report_agent_job_result(*), request_user_input(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*), mcp__ccw-tools__team_msg(*)

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 CallVerdictReason
spawn_agent, wait_agent, close_agent, send_message, followup_taskALLOWEDOrchestration
list_agentsALLOWEDAgent health check
request_user_inputALLOWEDUser interaction
mcp__ccw-tools__team_msgALLOWEDMessage bus
Read/Write on .workflow/.team/ filesALLOWEDSession state
Read on roles/, commands/, specs/ALLOWEDLoading own instructions
Read/Grep/Glob on project source codeBLOCKEDDelegate to worker
Edit on any file outside .workflow/BLOCKEDDelegate to worker
Bash("ccw cli ...")BLOCKEDOnly workers call CLI
Bash running build/test/lint commandsBLOCKEDDelegate 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

ConstantValue
Session prefixTC
Session path.workflow/.team/TC-<date>-<slug>/
Worker agentteam-worker
Message busmcp__ccw-tools__team_msg(session_id=<session-id>, ...)
CLI analysisccw cli --mode analysis
CLI writeccw cli --mode write
Max roles5

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.

RoleFileType
coordinatorroles/coordinator/role.mdbuilt-in orchestrator
(dynamic)<session>/role-specs/<role-name>.mdruntime-generated role-spec
CLI Tool Usage

Workers can use CLI tools for analysis and code operations:

ToolPurpose
ccw cli --mode analysisAnalysis, exploration, pattern discovery
ccw cli --mode writeCode 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):

CommandAction
check / statusOutput execution status graph, no advancement
resume / continueCheck 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",
  task_name: "<task-id>",
  fork_turns: "none",
  message: `## 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.

## Task Context
task_id: <task-id>
title: <task-title>
description: <task-description>
pipeline_phase: <pipeline-phase>

## Upstream Context
<prev_context>`
})

After spawning, use wait_agent({ timeout_ms: 1800000 }) to collect results. If result.timed_out, send STATUS_CHECK via followup_task (wait 3 min), then FINALIZE with interrupt (wait 3 min), then mark timed_out and close agents. Use close_agent({ target: <name> }) 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.


Model Selection Guide

Roles are dynamically generated at runtime. Select model/reasoning_effort based on the generated role's responsibility_type:

responsibility_typemodelreasoning_effortRationale
exploration(default)mediumRead-heavy, less reasoning needed
analysis(default)highDeep analysis requires full reasoning
implementation(default)highCode generation needs precision
synthesis(default)mediumAggregation over generation
review(default)highQuality assessment needs deep reasoning

Map each generated role's responsibility_type (from team-session.json#roles) to the table above.

Override model/reasoning_effort in spawn_agent when cost optimization is needed:

spawn_agent({
  agent_type: "team_worker",
  task_name: "<task-id>",
  fork_turns: "none",
  model: "<model-override>",
  reasoning_effort: "<effort-level>",
  message: "..."
})

v4 Agent Coordination

Show full SKILL.md (373 more words)Show less
Message Semantics
IntentAPIExample
Queue supplementary info (don't interrupt)send_messageSend upstream task findings to a running downstream worker
Not used in this skillfollowup_taskNo resident agents -- all workers are one-shot
Check running agentslist_agentsVerify agent health during resume

Note: Since roles are dynamically generated, the coordinator must resolve task prefixes and role names from team-session.json#roles at runtime. There are no hardcoded role-specific examples.

fork_turns Strategy

fork_turns: "none" is the default. Consider fork_turns: "all" only when:

  • Runtime analysis reveals the task requires deep familiarity with the full conversation context
  • The dynamically-generated role-spec indicates the worker needs project-wide understanding
  • The coordinator has already accumulated significant context about the codebase

This decision should be made per-task during Phase 4 based on the role's responsibility_type.

Agent Health Check

Use list_agents({}) in handleResume and handleComplete:

// Reconcile session state with actual running agents
const running = list_agents({})
// Compare with team-session.json active_workers
// Reset orphaned tasks (in_progress but agent gone) to pending
Named Agent Targeting

Workers are spawned with task_name: "<task-id>" enabling direct addressing:

  • send_message({ target: "<TASK-ID>", message: "..." }) -- queue upstream context without interrupting
  • close_agent({ target: "<TASK-ID>" }) -- cleanup by name

Completion Action

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

functions.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
ChoiceSteps
Archive & CleanUpdate session status="completed" -> output final summary with artifact paths
Keep ActiveUpdate session status="paused" -> output: "Resume with: Skill(skill='team-coordinate', args='resume')"
Export Resultsfunctions.request_user_input(target path) -> copy artifacts to target -> Archive & Clean

Specs Reference

SpecPurpose
specs/pipelines.mdDynamic pipeline model, task naming, dependency graph
specs/role-spec-template.mdTemplate for dynamic role-spec generation
specs/quality-gates.mdQuality thresholds and scoring dimensions
specs/knowledge-transfer.mdContext transfer protocols between roles

Session Directory

.workflow/.team/TC-<date>-<slug>/
+-- 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
json
{
  "session_id": "TC-<date>-<slug>",
  "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

ScenarioResolution
Unknown commandError with available command list
Dynamic role-spec not foundError, coordinator may need to regenerate
Command file not foundFallback to inline execution
CLI tool failsWorker proceeds with direct implementation, logs warning
Explore cache corruptClear cache, re-explore
Fast-advance spawns wrong taskCoordinator reconciles on next callback
capability_gap reportedCoordinator generates new role-spec via handleAdapt
Completion action failsDefault to Keep Active, log warning

© catlog22, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files in .codex/skills/team-coordinate of catlog22/Claude-Code-Workflow.

  • SKILL.md
  • roles/coordinator/commands/analyze-task.md
  • roles/coordinator/commands/dispatch.md
  • roles/coordinator/commands/monitor.md
  • roles/coordinator/role.md
  • specs/knowledge-transfer.md
  • specs/pipelines.md
  • specs/quality-gates.md
  • specs/role-spec-template.md

Open the folder on GitHubat commit 07491b0

Used in 1 other repository

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in catlog22/Claude-Code-Workflow, which our catalogue first saw on October 7, 2026.

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Categories

Questions about Team Coordinate

What does Team Coordinate do?

Universal team coordination skill with dynamic role generation. Team Coordinate is an agent skill from catlog22/Claude-Code-Workflow. Universal team coordination skill with dynamic role generation.

When should I use Team Coordinate?

Team Coordinate fits situations like: team Coordinate; tasks that involve Multi-agent orchestration.

How do I install Team Coordinate in Claude Code?

Run `npx skills add catlog22/Claude-Code-Workflow --skill team-coordinate -a claude-code`. Or copy the skill folder (.codex/skills/team-coordinate in catlog22/Claude-Code-Workflow) into .claude/skills/team-coordinate in your project. Claude Code loads it when a task matches its description.

How do I install Team Coordinate in Codex?

Run `npx skills add catlog22/Claude-Code-Workflow --skill team-coordinate -a codex`. Or copy the skill folder (.codex/skills/team-coordinate in catlog22/Claude-Code-Workflow) into .agents/skills/team-coordinate in your project. Codex loads it when a task matches its description.

Can I use Team Coordinate in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add catlog22/Claude-Code-Workflow --skill team-coordinate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/team-coordinate, .gemini/skills/team-coordinate, .github/skills/team-coordinate and .opencode/skills/team-coordinate in your project.

What does Team Coordinate need to run?

SKILL.md names no scripts, command-line tools or credentials: Team Coordinate is instructions for the agent only. Its frontmatter pre-approves these tools: spawn_agent(*), wait_agent(*), send_message(*), followup_task(*), close_agent(*), list_agents(*), report_agent_job_result(*), request_user_input(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*), mcp__ccw-tools__team_msg(*).

Does Team Coordinate access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Team Coordinate safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Team Coordinate use?

Team Coordinate is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Team Coordinate use?

About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Team Coordinate?

Skills that share tags, products or a category with Team Coordinate: Orca CLI (stablyai/orca, 87k stars), Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars) and Paseo Committee (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Team Coordinate?

catlog22 (a GitHub user) maintains it in catlog22/Claude-Code-Workflow, which has 2,130 GitHub stars. The repository holds 82 skills in this directory. The repository was last updated on June 18, 2026.

Source: catlog22/Claude-Code-Workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.