A high-performance skill for running background-first AI coding agents like Codex and Claude Code with directory isolation and parallel processing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install giga-coding-agent
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install giga-coding-agent using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Giga Coding Agent?
Giga Coding Agent is designed for developers who need to orchestrate autonomous AI coding agents in a non-interactive, background-first manner. By integrating with Openclaw Skills, it allows you to run tools like Codex CLI, Claude Code, OpenCode, and Pi Coding Agent across isolated working directories. This pattern prevents agents from accessing unrelated files while enabling you to monitor progress, send input, and poll for completion programmatically.
Whether you are building complex applications or performing codebase-wide refactors, this skill provides the infrastructure for reliable AI-driven development. It bridges the gap between simple one-shot prompts and complex, multi-step engineering tasks by leveraging background processes and tmux sessions within the Openclaw Skills ecosystem.
Giga Coding Agent Use Cases
- Running autonomous coding tasks in background processes to avoid terminal blocking.
- Conducting parallel pull request reviews across multiple repositories using an army of Codex instances.
- Isolating AI agents in scratch directories to prevent them from reading sensitive system files.
- Automating high-volume issue fixing using git worktrees and isolated branches.
- Executing sandboxed code generation with auto-approval flags for rapid prototyping.
How Giga Coding Agent Works
- Define a focused working directory (workdir) or create a temporary scratch space to isolate the AI agent's file access.
- Execute the desired coding agent command using the background:true flag via Openclaw Skills.
- Receive a unique sessionId to track the lifecycle and output of the running coding agent.
- Monitor the agent's progress by polling status or streaming logs through the process action interface.
- Interact with the process if needed by writing data to the stdin of the session or killing the task upon completion.
Giga Coding Agent Setup
To utilize Giga Coding Agent within Openclaw Skills, ensure you have the required binaries installed on your system. The skill detects available agents like claude, codex, opencode, or pi.
# Install Pi Coding Agent as an example
npm install -g @mariozechner/pi-coding-agent
# Configure your Codex CLI environment
# Ensure ~/.codex/config.toml is properly set up with your API keys
Once the binaries are in your PATH, the skill will automatically route commands to the appropriate background process.
Giga Coding Agent Data Schema & Taxonomy
The skill manages data through session-based isolation and standard process streams. Below is the organizational taxonomy used by Giga Coding Agent:
| Component | Type | Purpose |
|---|---|---|
| workdir | Path | The specific directory scope where the agent has read/write access. |
| sessionId | UUID | The unique identifier used to manage and monitor background tasks. |
| logs | Stream | Captured stdout/stderr output from the active coding agent. |
| scratch_space | Temp Dir | Volatile directories created for one-off tasks or PR reviews. |
| git_worktree | Branch Path | Isolated branch environments for parallel development tasks. |
Giga Coding Agent Advanced Features
- Parallel PR Review Army: Deploy multiple Codex processes simultaneously to review an entire backlog of pull requests.
- Git Worktree Isolation: Use worktrees to allow multiple agents to work on different branches without file system conflicts.
- tmux Integration: Seamlessly transition to interactive TTY sessions for complex debugging that requires human intervention.
- Safety Guardrails: Built-in rules to prevent agents from running in sensitive root directories like your core project folders.
- Flexible Execution Modes: Supports --full-auto for autonomous builds and --yolo for high-speed, non-sandboxed operations within Openclaw Skills.
SKILL.md
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