spawn-agent
Spawn an AI coding agent in a new terminal (Claude, Codex, Gemini, Cursor, OpenCode, Copilot). Defaults to Claude Code if unspecified.
Best use case
spawn-agent is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Spawn an AI coding agent in a new terminal (Claude, Codex, Gemini, Cursor, OpenCode, Copilot). Defaults to Claude Code if unspecified.
Teams using spawn-agent should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agent/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How spawn-agent Compares
| Feature / Agent | spawn-agent | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Spawn an AI coding agent in a new terminal (Claude, Codex, Gemini, Cursor, OpenCode, Copilot). Defaults to Claude Code if unspecified.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
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SKILL.md Source
# Purpose
Spawn an AI coding agent in a new terminal window. Follow the 'Instructions', execute the 'Workflow', based on the 'Cookbook'.
## Variables
| Variable | Default | Description |
|----------|---------|-------------|
| DEFAULT_AGENT | claude-code | Agent to use when not explicitly specified |
| ENABLED_CLAUDE_CLI | true | Enable Claude Code agent |
| ENABLED_CODEX_CLI | true | Enable OpenAI Codex agent |
| ENABLED_GEMINI_CLI | true | Enable Google Gemini agent |
| ENABLED_CURSOR_CLI | true | Enable Cursor agent |
| ENABLED_OPEN_CODE_CLI | true | Enable OpenCode agent |
| ENABLED_COPILOT_CLI | true | Enable GitHub Copilot agent |
| LOG_TO_FILE | false | Write full terminal output to debug file |
| LOG_AGENT_OUTPUT | true | Write clean agent JSON response to file |
| READ_CAPTURED_OUTPUT | false | Read and display agent output after spawn |
| AGENTIC_CODING_TOOLS | claude-code, codex-cli, gemini-cli, cursor-cli, opencode-cli, copilot-cli | Available agentic tools |
## Instructions
**MANDATORY** - You MUST follow the Workflow steps below in order. Do not skip steps.
### Agent Selection
1. **Explicit request**: If user specifies an agent (e.g., "use gemini", "spawn codex"), use that agent
2. **No agent specified**: Use DEFAULT_AGENT (claude-code)
3. **Check enabled**: Verify the ENABLED_*_CLI flag is true before proceeding
### Reading Cookbooks
- Based on the selected agent, follow the 'Cookbook' section to read the appropriate .md file
- You MUST read and execute the appropriate cookbook file before spawning the agent
## Red Flags - STOP and follow Cookbook
If you're about to:
- Spawn an agent without reading the cookbook first
- Execute a CLI command without running --help
- Skip steps because "this is simple"
- Run a CLI agent with a prompt but without checking INTERACTIVE_MODE requirements
**STOP** -> Read the appropriate cookbook file -> Follow its instructions -> Then proceed
> **Common Mistake**: When spawning agentic CLIs (Claude, Codex, Gemini) with a prompt,
> most require command chaining (e.g., `&& claude --continue`) to stay in interactive
> mode after the prompt completes. Always check the cookbook for the correct pattern.
### Spawn Summary User Prompt
- IF: The user requests spawning an agent with a summary of the conversation
- THEN:
- Read and REPLACE the <user_prompt_summary> and <agent_response_summary> fields in './prompts/fork-summary-user-prompt.md' with the history of the conversation between you and the user.
- Include the next users request in the `Next User Request` field.
- This will be what you pass into the PROMPT field of the agentic coding tool.
- Spawn the agent with: fork_terminal(command: str, capture=False, log_to_file=False, log_agent_output=True)
- Examples:
- "Spawn agent use claude code to <xyz> with a summary"
- "spin up a new terminal with <xyz> with claude code. Include a summary of the conversation."
- "create a new agent with claude code to <xyz>. Summarize work so far."
- "spawn agent use gemini to <xyz> with a summary"
## Workflow
**MANDATORY CHECKPOINTS** - Verify each before proceeding:
1. [ ] Understand the user's request
2. [ ] **SELECT AGENT**: Determine which agent (explicit or DEFAULT_AGENT)
3. [ ] READ: './fork_terminal.py' to understand the tooling
4. [ ] Follow the Cookbook (read the appropriate .md file for selected agent)
5. [ ] **CHECKPOINT**: Confirm cookbook instructions were followed (e.g., ran --help)
6. [ ] Execute fork_terminal(command: str, capture=False, log_to_file=False, log_agent_output=True)
7. [ ] IF 'READ_CAPTURED_OUTPUT' is true: Read and display the agent output using read_fork_output()
## Cookbook
### Claude Code (Default)
- IF: User requests Claude Code OR no agent explicitly specified
- THEN: Read and execute './cookbook/claude-code.md'
- Examples:
- "Spawn an agent to <xyz>"
- "Fork terminal to <xyz>" (no agent specified = claude-code)
- "Spawn agent use claude code to <xyz>"
- "spin up a new terminal with claude code"
### Codex CLI
- IF: User requests Codex/OpenAI agent and 'ENABLED_CODEX_CLI' is true
- THEN: Read and execute './cookbook/codex-cli.md'
- Examples:
- "Spawn agent use codex to <xyz>"
- "create a new terminal with codex cli to <xyz>"
- "spawn openai agent to <xyz>"
### Gemini CLI
- IF: User requests Gemini/Google agent and 'ENABLED_GEMINI_CLI' is true
- THEN: Read and execute './cookbook/gemini-cli.md'
- Examples:
- "Spawn agent use gemini to <xyz>"
- "create a new terminal with gemini cli to <xyz>"
- "spawn google agent to <xyz>"
### Cursor CLI
- IF: User requests Cursor agent and 'ENABLED_CURSOR_CLI' is true
- THEN: Read and execute './cookbook/cursor-cli.md'
- Examples:
- "Spawn agent use cursor cli to <xyz>"
- "create a new terminal with cursor to <xyz>"
- "spawn cursor agent to <xyz>"
### OpenCode CLI
- IF: User requests OpenCode agent and 'ENABLED_OPEN_CODE_CLI' is true
- THEN: Read and execute './cookbook/opencode-cli.md'
- Examples:
- "Spawn agent use opencode cli to <xyz>"
- "create a new terminal with opencode to <xyz>"
- "spawn opencode agent to <xyz>"
### Copilot CLI
- IF: User requests Copilot/GitHub agent and 'ENABLED_COPILOT_CLI' is true
- THEN: Read and execute './cookbook/copilot-cli.md'
- Examples:
- "Spawn agent use copilot cli to <xyz>"
- "create a new terminal with copilot to <xyz>"
- "spawn github copilot agent to <xyz>"
## Output Retrieval
The `fork_terminal()` function supports three output controls:
| Parameter | Default | Output File | Description |
|-----------|---------|-------------|-------------|
| `log_agent_output` | `True` | `/tmp/fork-agent-*.json` | Clean agent JSON response |
| `log_to_file` | `False` | `/tmp/fork-debug-*.txt` | Full terminal output (debug) |
| `capture` | `False` | N/A | Block and return content directly |
### Parameter Combinations
| `capture` | `log_agent_output` | `log_to_file` | Behavior |
|-----------|-------------------|---------------|----------|
| `False` | `True` (default) | `False` | Returns agent JSON file path |
| `False` | `False` | `True` | Returns debug file path |
| `False` | `False` | `False` | Returns empty string |
| `True` | `True` | * | Blocks, returns agent JSON content |
| `True` | `False` | `True` | Blocks, returns debug content |
### Retrieving Output Later
When `log_agent_output=True` (default), clean agent output is logged. Use `read_fork_output(file_path)` to retrieve it:
```python
# Spawn without blocking (returns path to JSON output)
file_path = fork_terminal(cmd, log_agent_output=True)
print(f"Agent output will be at: {file_path}")
# Later, read the output when needed
output = read_fork_output(file_path, timeout=60)
```
### Debug Mode
For debugging, enable `log_to_file=True` to capture full terminal output (including stderr):
```python
# Debug mode: capture everything
file_path = fork_terminal(cmd, log_to_file=True, log_agent_output=False)
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