Agent skill

Team Planex

by catlog22 in catlog22/Claude-Code-Workflow

Unified team skill for plan-and-execute pipeline. An agent skill from catlog22/Claude-Code-Workflow.

MITAuto-check: notesAgent Workflows

Install Team Planex

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

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

GitHub CLI
$ gh skill install catlog22/Claude-Code-Workflow team-planex --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-planex .claude/skills/team-planex && 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-planex
GitHub stars
2.1k
Token cost
~2k tokens
SKILL.md length
514 words
Files
8
Skills in repo
82
Repo updated
First seen
Licence
MIT

At a glance

Unified team skill for plan-and-execute pipeline. An agent skill from catlog22/Claude-Code-Workflow.

  • Agent Workflows work in your project
  • SKILL.md covers Architecture, Role Registry, Role Router and Delegation Lock, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Team Planex is an agent skill from catlog22/Claude-Code-Workflow. Unified team skill for plan-and-execute pipeline. Pure router — coordinator always. Beat model is coordinator-only in monitor.md. Triggers on "team planex".

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files (for example `roles/coordinator/commands/analyze.md`, `roles/coordinator/commands/dispatch.md` and `roles/coordinator/commands/monitor.md`).

It sits in Agent Workflows. 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

  • Agent Workflows work in your project

Example prompts

  • “team planex”
  • “/team-planex”

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(*)

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.

    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 Planex loads about 2k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 514 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~2k

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). 514 words, ~1,997 tokens.

Download SKILL.mdSave it as .claude/skills/team-planex/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
team-planex
description
Unified team skill for plan-and-execute pipeline. Pure router — coordinator always. Beat model is coordinator-only in monitor.md. Triggers on "team planex".
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 PlanEx

Unified team skill: plan-and-execute pipeline for issue-based development. Built on team-worker agent architecture — coordinator orchestrates, workers are team-worker agents loading role-specific instructions from roles/<role>/role.md.

Architecture

Skill(skill="team-planex", args="task description")
                    |
         SKILL.md (this file) = Router
                    |
     +--------------+--------------+
     |                             |
  no --role flag              --role <name>
     |                             |
  Coordinator                  Worker
  roles/coordinator/role.md    roles/<name>/role.md
     |
     +-- analyze -> dispatch -> spawn workers -> STOP
                                    |
                    +---------------+---------------+
                    v                               v
               [planner]                       [executor]
         (team-worker agent,            (team-worker agent,
          loads roles/planner/role.md)   loads roles/executor/role.md)

Role Registry

RolePathPrefixInner Loop
coordinatorroles/coordinator/role.md——
plannerroles/planner/role.mdPLAN-*true
executorroles/executor/role.mdEXEC-*true

Role Router

Parse $ARGUMENTS:

  • Has --role <name> -> Read roles/<name>/role.md, execute Phase 2-4
  • No --role -> roles/coordinator/role.md, execute entry router

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.


Shared Constants

  • Session prefix: PEX
  • Session path: .workflow/.team/PEX-<date>-<slug>/
  • CLI tools: ccw cli --mode analysis (read-only), ccw cli --mode write (modifications)
  • Message bus: mcp__ccw-tools__team_msg(session_id=<session-id>, ...)

Worker Spawn Template

Coordinator spawns workers using this template:

spawn_agent({
  agent_type: "team_worker",
  task_name: "<task-id>",
  fork_turns: "none",
  message: `## Role Assignment
role: <role>
role_spec: <skill_root>/roles/<role>/role.md
session: <session-folder>
session_id: <session-id>
requirement: <task-description>
inner_loop: <true|false>
execution_method: <codex|gemini>

Read role_spec file (<skill_root>/roles/<role>/role.md) 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 }) each worker.

Model Selection Guide
Rolemodelreasoning_effortRationale
Planner (PLAN-*)(default)highSolution planning requires deep code analysis
Executor (EXEC-*)(default)highCode implementation needs precision

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: "..."
})

User Commands

CommandAction
check / statusView execution status graph
resume / continueAdvance to next step
add <issue-ids or --text '...' or --plan path>Append new tasks to planner queue
Show full SKILL.md (201 more words)Show less

Session Directory

.workflow/.team/PEX-<slug>-<YYYY-MM-DD>/
├── .msg/
│   ├── messages.jsonl          # Message bus log
│   └── meta.json               # Session state
├── task-analysis.json          # Coordinator analyze output
├── artifacts/
│   └── solutions/              # Planner solution output per issue
│       ├── <issueId-1>.json
│       └── <issueId-N>.json
└── wisdom/                     # Cross-task knowledge
    ├── learnings.md
    ├── decisions.md
    ├── conventions.md
    └── issues.md

Specs Reference

  • specs/pipelines.md — Pipeline definitions, task metadata registry, execution method selection

v4 Agent Coordination

Message Semantics
IntentAPIExample
Send plan updates to running executorsend_messageQueue planner solution details to EXEC-* workers
Not used in this skillfollowup_taskNo resident agents -- planner and executor are one-shot
Check running agentslist_agentsVerify planner/executor health during resume
Two-Phase Pipeline Pattern

Plan-and-execute is a Two-Phase pattern: planner creates solution plans (PLAN-), then coordinator spawns executors (EXEC-) for each planned issue. The planner may dynamically create EXEC-* task entries in tasks.json.

// Phase 1: Planner runs, creates EXEC-* tasks in tasks.json
spawn_agent({ agent_type: "team_worker", task_name: "PLAN-001", ... })
wait_agent({ timeout_ms: 1800000 })  // 30 min — apply timeout cascade if timed_out
// Phase 2: Executors run per-issue, may run in sequence or parallel
// Inner loop: planner/executor handle multiple tasks internally
Agent Health Check

Use list_agents({}) in handleResume and handleComplete:

// Reconcile session state with actual running agents
const running = list_agents({})
// Compare with tasks.json active_agents
// 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: "EXEC-001", message: "..." }) -- queue plan solution to running executor
  • close_agent({ target: "PLAN-001" }) -- cleanup by name after completion

Error Handling

ScenarioResolution
Unknown commandError with available command list
Role not foundError with role registry
Role spec file not foundError with expected path (roles/<name>/role.md)
team-worker agent unavailableError: requires .claude/agents/team-worker.md
Planner issue planning failureRetry once, then skip to next issue
Executor impl failureReport to coordinator, continue with next EXEC-* task
Pipeline stallCoordinator monitors, escalate to user
Worker no responseReport waiting task, suggest user resume

© 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 7 other files in .codex/skills/team-planex of catlog22/Claude-Code-Workflow.

  • SKILL.md
  • roles/coordinator/commands/analyze.md
  • roles/coordinator/commands/dispatch.md
  • roles/coordinator/commands/monitor.md
  • roles/coordinator/role.md
  • roles/executor/role.md
  • roles/planner/role.md
  • specs/pipelines.md

Open the folder on GitHubat commit 07491b0

Compare with similar skills

Team Planex next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Team Planex compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Team Planex this skillcatlog22/Claude-Code-Workflow2.1k—~2kAutomated safety check: NotesMIT
MCP Server Builderanthropics/skills180k64 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k11 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0

Similar skills

  • MCP Server Builder

    anthropics/skills

    Official

    Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.

    180k GitHub starsUsed in 64 repos~2.3k tokens
    Agent WorkflowsAuto-check passed
  • Hook Development for Claude Code Plugins

    anthropics/claude-plugins-official

    Official

    Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.

    38k GitHub starsUsed in 11 repos~4.1k tokens
    Agent WorkflowsAuto-check: notes
  • Using Superpowers

    farm-fe/farm

    A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

    5.6k GitHub starsUsed in 35 repos~1.4k tokens
    Agent WorkflowsAuto-check passed
  • Executing Plans Inline

    obra/superpowers

    Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.

    296k GitHub starsUsed in 2 repos~5.1k tokens
    Agent WorkflowsAuto-check passed
  • Claude Code Agent Development

    anthropics/claude-plugins-official

    Official

    Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.

    38k GitHub starsUsed in 8 repos~2.8k tokens
    Agent WorkflowsAuto-check passed
  • Skill Creator

    Azure/azqr

    Official

    Create new skills, modify and improve existing skills, and measure skill performance.

    795 GitHub starsUsed in 89 repos~8.2k tokens
    Agent WorkflowsAuto-check passed

More from catlog22/Claude-Code-Workflow

All 82 skills in this repo
  • Prompt Generator

    catlog22/Claude-Code-Workflow

    Generate or convert Claude Code prompt files — command orchestrators, skill files, agent role definitions, or style conversion of existing files.

    2.1k GitHub starsUsed in 1 repo~4.7k tokens
    Auto-check: notes
  • Ccw Help

    catlog22/Claude-Code-Workflow

    CCW command help system. An agent skill from catlog22/Claude-Code-Workflow.

    2.1k GitHub stars~2.5k tokensUpdated 3 mo ago
    Auto-check passed
  • Team Ultra Analyze

    catlog22/Claude-Code-Workflow

    Deep collaborative analysis team skill. An agent skill from catlog22/Claude-Code-Workflow.

    2.1k GitHub starsUsed in 1 repo~2.4k tokens
    Auto-check: notes
  • Brainstorm

    catlog22/Claude-Code-Workflow

    Unified brainstorming skill with dual-mode operation — auto mode (framework generation, parallel multi-role analysis, cross-role synthesis) and single role analysis.

    2.1k GitHub stars~4.8k tokensUpdated 3 mo ago
    Auto-check: notes
  • Ccw Chain

    catlog22/Claude-Code-Workflow

    Chain-based CCW workflow orchestrator. An agent skill from catlog22/Claude-Code-Workflow.

    2.1k GitHub stars~1.1k tokensUpdated 3 mo ago
    Auto-check: notes
  • Delegation Check

    catlog22/Claude-Code-Workflow

    Check workflow delegation prompts against agent role definitions for content separation violations.

    2.1k GitHub stars~2.8k tokensUpdated 3 mo ago
    Auto-check: notes

Categories

Questions about Team Planex

What does Team Planex do?

Unified team skill for plan-and-execute pipeline. An agent skill from catlog22/Claude-Code-Workflow. Team Planex is an agent skill from catlog22/Claude-Code-Workflow. Unified team skill for plan-and-execute pipeline.

When should I use Team Planex?

Team Planex fits situations like: agent Workflows work in your project.

How do I install Team Planex in Claude Code?

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

How do I install Team Planex in Codex?

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

Can I use Team Planex 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-planex -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-planex, .gemini/skills/team-planex, .github/skills/team-planex and .opencode/skills/team-planex in your project.

What does Team Planex need to run?

SKILL.md names no scripts, command-line tools or credentials: Team Planex 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 Planex 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 Planex 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 Planex use?

Team Planex 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 Planex use?

About 2k tokens (SKILL.md is roughly 8k 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 Planex?

Skills that share tags, products or a category with Team Planex: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Team Planex?

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.