Interactive initialization script that generates a compliant lifecycle Hook for an AI Agent or Plugin. Use when you need to automate workflows based on events like PreToolUse or SessionStart.
Installs into .claude/skills of the current project.
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---
name: create-hook
description: Interactive initialization script that generates a compliant lifecycle Hook for an AI Agent or Plugin. Use when you need to automate workflows based on events like PreToolUse or SessionStart.
disable-model-invocation: false
allowed-tools: Bash, Read, Write
---
# Lifecycle Hook Scaffold Generator
You are tasked with generating a new Hook integration using our deterministic backend scaffolding pipeline.
## Execution Steps:
1. **Gather Requirements:**
Ask the user for:
- The target lifecycle event (e.g. `PreToolUse`, `SessionStart`, `SubagentStart`).
- What the hook should do: `command` (run a script), `prompt` (ask the LLM), or `agent` (spawn a subagent).
- Where the `hooks.json` file should be appended.
2. **Scaffold the Hook:**
You must execute the hidden deterministic `scaffold.py` script.
Run the following bash command:
```bash
python3 ./scripts/scaffold.py --type hook --name hook-stub --path <destination-directory> --event <lifecycle-event> --action <command|prompt|agent>
```
3. **Confirmation:**
Print a success message showing the configured hook sequence.
## Next Actions
- Offer to run `audit-plugin` to validate the generated artifacts.
