create-hook
Creates or adds Cursor agent lifecycle hooks. Use when the user asks to create a hook, add a hook, set up a lifecycle hook, or automate something on agent stop, afterFileEdit, afterAgentResponse, or other Cursor hook events. Hooks live in .cursor/hooks/ and are registered in .cursor/hooks.json.
Best use case
create-hook is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Creates or adds Cursor agent lifecycle hooks. Use when the user asks to create a hook, add a hook, set up a lifecycle hook, or automate something on agent stop, afterFileEdit, afterAgentResponse, or other Cursor hook events. Hooks live in .cursor/hooks/ and are registered in .cursor/hooks.json.
Teams using create-hook 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/create-hook/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How create-hook Compares
| Feature / Agent | create-hook | 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?
Creates or adds Cursor agent lifecycle hooks. Use when the user asks to create a hook, add a hook, set up a lifecycle hook, or automate something on agent stop, afterFileEdit, afterAgentResponse, or other Cursor hook events. Hooks live in .cursor/hooks/ and are registered in .cursor/hooks.json.
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.
SKILL.md Source
# Create Hook
**Type:** Utility skill (procedural, no agentic lead or sub-agents).
Adds a Cursor lifecycle hook: a script that runs when a specific agent event fires. Hooks are project-level only (`.cursor/hooks/` and `.cursor/hooks.json`).
## 1. Choose the lifecycle event
Register the hook under one of these keys in `hooks.json`:
| Event | When it runs |
| ----------------------------------------------- | ------------------------------------- |
| `stop` | When the agent stops (end of turn) |
| `afterFileEdit` | After the agent edits a file |
| `afterAgentResponse` | After the agent sends a response |
| `beforeSubmitPrompt` | Before the user's prompt is submitted |
| `beforeReadFile` / `afterShellExecution` / etc. | See Cursor docs for full list |
## 2. Add the script
- **Path**: `.cursor/hooks/<name>.js` (or `.sh` if shell). Use a clear name (e.g. `memory-reminder.js`, `on-stop.js`).
- **Runtime**: Node.js is typical; command in `hooks.json` is run with Cursor's working directory set so that `node hooks/<name>.js` resolves (run from `.cursor`).
- **Input**: The hook receives a single JSON object on **stdin**. Read it like this:
```javascript
let input = "";
process.stdin.setEncoding("utf8");
process.stdin.on("data", (chunk) => {
input += chunk;
});
process.stdin.on("end", () => {
const payload = JSON.parse(input);
const roots = payload.workspace_roots || [process.cwd()];
const root = path.resolve(roots[0]); // repo root
// ... use root for paths like path.join(root, '.cursor', 'next-step.md')
});
```
- **Payload**: Often includes `workspace_roots` (array of repo roots). Use the first root as the project root for paths. Event-specific payloads may include `file_path`, `prompt`, etc.
- **Output**: Hook can write files (e.g. `.cursor/next-step.md`), log to stderr, or exit; avoid writing to stdout if the protocol expects JSON there.
- **Shebang**: Start Node scripts with `#!/usr/bin/env node`.
## 3. Register in hooks.json
- **Path**: `.cursor/hooks.json`
- **Format**:
```json
{
"version": 1,
"hooks": {
"stop": [
{ "command": "node hooks/on-stop.js" },
{ "command": "node hooks/my-new-hook.js" }
]
}
}
```
- Append to the array for the chosen event; do not remove existing hooks unless the user asks to replace them.
## Checklist
- [ ] Script created under `.cursor/hooks/<name>.js` (or `.sh`)
- [ ] Script reads JSON from stdin and uses `workspace_roots` for repo root when needed
- [ ] Entry added to `.cursor/hooks.json` under the correct event key
- [ ] Command is `node hooks/<name>.js` (or `./hooks/<name>.sh`); path is relative to `.cursor`
## Reference
- Existing hooks in this repo: `.cursor/hooks/on-stop.js`, `.cursor/hooks/after-file-edit.js`, `.cursor/hooks/memory-reminder.js` — use them as patterns for stdin handling and `path.join(root, ...)`.
- Project memory (`.cursor/memory.md`) notes that new hooks should be added under `.cursor/hooks/` and registered in `.cursor/hooks.json`.Related Skills
mcp-create-declarative-agent
Skill converted from mcp-create-declarative-agent.prompt.md
kitt-create-slash-commands
Expert guidance for creating slash commands. Use when working with slash commands, creating custom commands, understanding command structure, or learning YAML configuration.
kitt-create-plans
Create hierarchical project plans optimized for solo agentic development. Use when planning projects, phases, or tasks that the AI agent will execute. Produces agent-executable plans with verification criteria, not enterprise documentation. Handles briefs, roadmaps, phase plans, and context handoffs.
create-workflow
Create Jazz workflow automation files (WORKFLOW.md). Use this for scheduling Jazz agents to run recurring tasks. For OS-level scripts/commands, use create-system-routine.
create-rule
Create persistent AI agent rules and instructions. Use when you want to create a rule, add coding standards, set up project conventions, configure file-specific patterns, or create AGENTS.md/GEMINI.md rule files across Cursor, Gemini CLI, or Codex.
create-prompt
Expert prompt engineering for creating effective prompts for Claude, GPT, and other LLMs. Use when writing system prompts, user prompts, few-shot examples, or optimizing existing prompts for better performance.
create-expert-skill
Create production-ready skills from expert knowledge. Extracts domain expertise and system ontologies, uses scripts for deterministic work, loads knowledge progressively. Use when building skills that must work reliably in production.
create-event-handlers
Sets up RabbitMQ event publishers and consumers following ModuleImplementationGuide.md Section 9. RabbitMQ only (no Azure Service Bus). Creates publishers with DomainEvent (tenantId preferred), consumers with handlers, naming {domain}.{entity}.{action}, required fields (id, type, version, timestamp, tenantId, source, data). Use when adding event-driven communication, async workflows, or integrating via events.
create-custom-prompt
Prompt for creating custom prompt files
create-assistant
Create and configure Vapi voice AI assistants with models, voices, transcribers, tools, hooks, and advanced settings. Use when building voice agents, phone bots, customer support assistants, or any conversational AI that handles phone or web calls.
create-agents-md
Create or rewrite AGENTS.md files for Open Mercato packages and modules. Use this skill when adding a new package, creating a new module, or when an existing AGENTS.md needs to be created or refactored. Ensures prescriptive tone, MUST rules, checklists, and consistent structure across all agent guidelines.
create-agent-with-sanity-context
Build AI agents with structured access to Sanity content via Context MCP. Covers Studio setup, agent implementation, and advanced patterns like client-side tools and custom rendering.