Why Use This This skill provides specialized capabilities for aiskillstore's codebase.
Use Cases Developing new features in the aiskillstore repository Refactoring existing code to follow aiskillstore standards Understanding and working with aiskillstore's codebase structure
Install Guide 2 steps 1 2 Install inside Ananke
Click Install Skill, paste the link below, then press Install.
https://github.com/aiskillstore/marketplace/tree/main/skills/consiliency/spawn Skill Snapshot Auto scan of skill assets. Informational only.
Valid SKILL.md Checks against SKILL.md specification
Source & Community
Updated At Jan 19, 2026, 04:39 AM
Skill Stats
SKILL.md 91 Lines
Total Files 1
Total Size 0 B
License NOASSERTION
---
name: spawn
description: "Skills for spawning external processes - AI coding agents and generic CLI commands in new terminal windows. Parent skill category for agent and terminal spawning."
type: category
---
# Spawn Skills
This directory contains skills for spawning external processes in new terminal windows.
## Overview
Spawn skills enable Claude Code to launch external processes:
- **AI coding agents** (Claude, Codex, Gemini, Cursor, OpenCode, Copilot)
- **Generic CLI commands** (ffmpeg, curl, python, npm, etc.)
Both use the `fork_terminal` utility to create isolated terminal sessions.
## Child Skills
| Skill | Description | Use Case |
|-------|-------------|----------|
| [agent](./agent/SKILL.md) | Spawn AI coding agents | Multi-provider orchestration |
| [terminal](./terminal/SKILL.md) | Spawn generic CLI commands | Non-AI command execution |
## When to Use
### Use spawn:agent when:
- Delegating tasks to external AI providers
- Need interactive CLI sessions with AI agents
- Browser-based authentication is required
- Real-time streaming output needed
### Use spawn:terminal when:
- Running non-AI CLI commands (ffmpeg, curl, etc.)
- Need interactive terminal for user input
- Long-running processes that shouldn't block Claude
### Use orchestration:native-invoke instead when:
- Automating multi-provider tasks
- Need parallel execution across providers
- Clean result collection is important
- No interactive/TTY requirements
## Core Utility
Both skills use the `fork_terminal` Python utility:
```python
# Located at: ./agent/fork_terminal.py
from fork_terminal import fork_terminal
# Basic usage
result = fork_terminal("command", capture=True)
# With logging
result = fork_terminal("command", log_to_file=True, log_agent_output=True)
```
## Quick Reference
```
spawn/
├── SKILL.md # This file
├── agent/ # AI agent spawning
│ ├── SKILL.md
│ ├── cookbook/ # Per-agent cookbooks
│ │ ├── claude-code.md
│ │ ├── codex-cli.md
│ │ ├── gemini-cli.md
│ │ ├── cursor-cli.md
│ │ ├── opencode-cli.md
│ │ └── copilot-cli.md
│ └── prompts/ # Reusable prompt templates
└── terminal/ # Generic CLI spawning
├── SKILL.md
└── cookbook/
└── cli-command.md
```
## Related Skills
- **orchestration/native-invoke** - Task-based CLI invocation (preferred for automation)
- **multi-agent-orchestration** - Higher-level provider routing
- **model-discovery** - Current model names for providers
## See Also
- `.claude/ai-dev-kit/dev-tools/orchestration/providers/` - Shell scripts for each provider
- `/ai-dev-kit:delegate` - Command for manual delegation