Coding Agent logo

Coding Agent

Organization
swarmclawai
coding-agent

Delegate coding tasks to external coding agents (Claude Code, Codex, Pi, OpenCode) via shell. Use when: (1) building new features or apps in a separate project, (2) reviewing PRs, (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit directly), reading code (use read/file tools), or work inside the SwarmClaw workspace itself.

Overview

Publisherswarmclawai
Repositoryswarmclaw
Skill namecoding-agent
Stars
689
Forks
141
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Coding Agent 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/swarmclawai/swarmclaw/tree/main/skills/coding-agent
  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/swarmclawai/swarmclaw.git /tmp/swarmclaw
mkdir -p .claude/skills
cp -r /tmp/swarmclaw/skills/coding-agent .claude/skills/coding-agent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Coding Agent 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 Coding Agent 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 Coding Agent 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.

Coding Agent

Delegate coding tasks to external coding agents via shell tools.

Agent Execution Modes

Claude Code (recommended)

Use --print --permission-mode bypassPermissions for non-interactive execution:

bash
cd /path/to/project && claude --permission-mode bypassPermissions --print 'Your task here'

For background execution, use the shell tool's background mode.

Do NOT use PTY mode with Claude Code — --print mode keeps full tool access and avoids interactive confirmation dialogs.

Codex

Codex requires a git repository and PTY mode:

bash
# Quick one-shot (auto-approves changes)
cd /path/to/project && codex exec --full-auto 'Build a dark mode toggle'

# Codex refuses to run outside a git directory. For scratch work:
SCRATCH=$(mktemp -d) && cd $SCRATCH && git init && codex exec "Your prompt"

Pi Coding Agent

bash
# Install: npm install -g @mariozechner/pi-coding-agent
cd /path/to/project && pi 'Your task'

# Non-interactive mode
pi -p 'Summarize src/'

# Different provider/model
pi --provider openai --model gpt-4o-mini -p 'Your task'

OpenCode

bash
cd /path/to/project && opencode run 'Your task'

PR Reviews

Clone to a temp folder or use git worktree — never review PRs in the SwarmClaw project directory:

bash
# Clone to temp for safe review
REVIEW_DIR=$(mktemp -d)
git clone https://github.com/user/repo.git $REVIEW_DIR
cd $REVIEW_DIR && gh pr checkout 130
codex review --base origin/main

# Or use git worktree
git worktree add /tmp/pr-130-review pr-130-branch
cd /tmp/pr-130-review && codex review --base main

Parallel Issue Fixing

Use git worktrees to fix multiple issues in parallel:

bash
# Create worktrees
git worktree add -b fix/issue-78 /tmp/issue-78 main
git worktree add -b fix/issue-99 /tmp/issue-99 main

# Launch agents (use background shell execution)
cd /tmp/issue-78 && codex --yolo 'Fix issue #78: <description>. Commit when done.'
cd /tmp/issue-99 && codex --yolo 'Fix issue #99: <description>. Commit when done.'

# Create PRs after
cd /tmp/issue-78 && git push -u origin fix/issue-78
gh pr create --repo user/repo --head fix/issue-78 --title "fix: ..." --body "..."

# Cleanup
git worktree remove /tmp/issue-78
git worktree remove /tmp/issue-99

Rules

  1. Use the right execution mode per agent: Claude Code uses --print (no PTY); Codex/Pi/OpenCode may need interactive terminal.
  2. Respect tool choice — if the user asks for Codex, use Codex. Don't silently switch agents.
  3. Be patient — don't kill sessions because they seem slow.
  4. Monitor progress — check output periodically without interfering.
  5. Never run coding agents inside the SwarmClaw project directory — use a separate project directory or temp folder.

Progress Updates

When spawning coding agents in the background:

  • Send a short message when you start (what's running, where).
  • Update only when something changes (milestone, error, completion).
  • If you kill a session, say so immediately and explain why.

Frequently asked questions

What does the Coding Agent AI skill do?

Delegate coding tasks to external coding agents (Claude Code, Codex, Pi, OpenCode) via shell. Use when: (1) building new features or apps in a separate project, (2) reviewing PRs, (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit directly), reading code (use read/file tools), or work inside the SwarmClaw workspace itself.

Why use Coding Agent on TypingMind?

Because you install it once and use it with any model. Coding Agent 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 Coding Agent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/swarmclawai/swarmclaw/tree/main/skills/coding-agent. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Coding Agent?

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 Coding Agent?

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

Is the Coding Agent AI skill free?

Yes. It is published on GitHub by swarmclawai 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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