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Clawteam Dev

CommunityPopular
win4r
clawteam-dev

Use this skill when working inside the ClawTeam repository itself: local development, debugging, reviewing, testing, validating multi-agent flows, or checking whether a code change actually works end-to-end. Use the repository bootstrap scripts to standardize the local `clawteam` command and to wire project-local `.agents` and `.claude` skills back to this repository. This skill is repository-development oriented, not a general end-user usage guide.

Overview

Publisherwin4r
RepositoryClawTeam-OpenClaw
Skill nameclawteam-dev
Stars
1.5K
Forks
319
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by win4r on GitHub. Read the source before you install it.

Installation

Install the Clawteam Dev AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/win4r/ClawTeam-OpenClaw/tree/main/.agents/skills/clawteam-dev
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/win4r/ClawTeam-OpenClaw.git /tmp/ClawTeam-OpenClaw
mkdir -p .claude/skills
cp -r /tmp/ClawTeam-OpenClaw/.agents/skills/clawteam-dev .claude/skills/clawteam-dev
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clawteam Dev in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Clawteam Dev on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Clawteam Dev is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ClawTeam Local Development

This skill is for developing and validating ClawTeam inside the ClawTeam repository. Use it when the task is about changing ClawTeam itself, testing local behavior, or verifying multi-agent workflows against the current checkout.

Development Bootstrap

Standardize the local development environment with the bootstrap script:

bash
bash scripts/bootstrap_clawteam_dev.sh

This script lives in scripts/bootstrap_clawteam_dev.sh inside this skill folder.

This script does all of the following:

  • Creates a fixed uv environment at ~/.clawteam-venv
  • Installs the current repository into that environment with dev dependencies
  • Writes ~/.local/bin/clawteam to point at the fixed environment
  • Adds a clawteam() shell function block to ~/.bashrc

After it finishes:

bash
source ~/.bashrc
clawteam --version

Use this bootstrap whenever you want the same clawteam command across different Python environments on the machine.

Project Skill Wiring

To wire another local project so its ./.agents and ./.claude directories use this repository's local ClawTeam skills directly:

bash
bash scripts/link_local_clawteam_skills.sh /path/to/project

This script lives in scripts/link_local_clawteam_skills.sh inside this skill folder.

This creates these symlinks inside the target project:

  • ./.agents/skills/clawteam
  • ./.claude/skills/clawteam

Run the same script again any time you want to refresh or recreate those links.

Typical Uses

  • Run targeted local validation after code changes
  • Reproduce a spawn / board / task / inbox / harness bug
  • Smoke-test the real CLI in tmux or subprocess mode
  • Review ClawTeam workflows end-to-end from the current repository checkout

Fast Validation

Prefer the smallest validation that proves the change.

bash
ruff check clawteam/ tests/
pytest tests/<target_file>.py -q

Use broader runs only when the change crosses modules:

bash
pytest tests/test_cli_commands.py -q
pytest tests/test_spawn_backends.py -q
pytest tests/test_harness.py tests/test_event_bus.py -q

Prerequisites

  • clawteam command available
  • tmux available
  • A supported CLI agent such as claude or codex if you are spawning real workers
  • Current directory is the ClawTeam git repo when testing worktree isolation or local source changes

Local Smoke Test

Use this when you need a real multi-agent workflow check instead of unit tests.

bash
clawteam team spawn-team dev-smoke -d "Local ClawTeam smoke test" -n leader
clawteam task create dev-smoke "Smoke test worker" -o worker1 -p high
clawteam spawn --team dev-smoke --agent-name worker1 --task "Report your status to leader and mark the task completed when done."
clawteam board show dev-smoke
clawteam task wait dev-smoke --timeout 300 --poll-interval 5

If you are validating harness behavior specifically:

bash
clawteam harness conduct dev-harness \
  --goal "Create a small implementation plan and execute it with one worker" \
  --cli codex \
  --agents 1

Cleanup

Use the real ClawTeam commands instead of ad-hoc directory assumptions whenever possible:

bash
clawteam team cleanup dev-smoke
clawteam team cleanup dev-harness

If a crashed tmux session or worktree is left behind, clean it up explicitly after inspecting it.

Development Rules

  • Prefer clawteam commands over editing state files directly.
  • Prefer targeted tests over broad end-to-end runs unless the change crosses spawn/runtime/workflow boundaries.
  • Use board, task wait, and team status to observe behavior before assuming a bug is in the spawn layer.
  • When testing agent coordination, keep the team small first: one leader and one or two workers.
  • Only escalate to harness or full swarm tests when the lower-level task/spawn/inbox path already works.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Clawteam Dev AI skill do?

Use this skill when working inside the ClawTeam repository itself: local development, debugging, reviewing, testing, validating multi-agent flows, or checking whether a code change actually works end-to-end. Use the repository bootstrap scripts to standardize the local `clawteam` command and to wire project-local `.agents` and `.claude` skills back to this repository. This skill is repository-development oriented, not a general end-user usage guide.

Why use Clawteam Dev on TypingMind?

Because you install it once and use it with any model. Clawteam Dev is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Clawteam Dev in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/win4r/ClawTeam-OpenClaw/tree/main/.agents/skills/clawteam-dev. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Clawteam Dev?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Clawteam Dev?

As many as you like. As long as a model supports skills, you can use Clawteam Dev with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Clawteam Dev AI skill free?

Yes. It is published on GitHub by win4r under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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