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Create Hooks

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glittercowboy
create-hooks

Expert guidance for creating, configuring, and using Claude Code hooks. Use when working with hooks, setting up event listeners, validating commands, automating workflows, adding notifications, or understanding hook types (PreToolUse, PostToolUse, Stop, SessionStart, UserPromptSubmit, etc).

Overview

Publisherglittercowboy
Repositorytaches-cc-resources
Skill namecreate-hooks
Stars
2K
Forks
411
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by glittercowboy on GitHub. Read the source before you install it.

Installation

Install the Create Hooks AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/glittercowboy/taches-cc-resources.git /tmp/taches-cc-resources
mkdir -p .claude/skills
cp -r /tmp/taches-cc-resources/skills/create-hooks .claude/skills/create-hooks
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Hooks in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Create Hooks on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Create Hooks is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Hooks provide programmatic control over Claude's behavior without modifying core code, enabling project-specific automation, safety checks, and workflow customization.

<quick_start>

  1. Create hooks config file:
    • Project: .claude/hooks.json
    • User: ~/.claude/hooks.json
  2. Choose hook event (when it fires)
  3. Choose hook type (command or prompt)
  4. Configure matcher (which tools trigger it)
  5. Test with claude --debug

.claude/hooks.json:

json
{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "Bash",
        "hooks": [
          {
            "type": "command",
            "command": "jq -r '\"\\(.tool_input.command) - \\(.tool_input.description // \\\"No description\\\")\"' >> ~/.claude/bash-log.txt"
          }
        ]
      }
    ]
  }
}

This hook:

  • Fires before (PreToolUse) every Bash tool use
  • Executes a command (not an LLM prompt)
  • Logs command + description to a file

</quick_start>

<hook_types>

EventWhen it firesCan block?
PreToolUseBefore tool executionYes
PostToolUseAfter tool executionNo
UserPromptSubmitUser submits a promptYes
StopClaude attempts to stopYes
SubagentStopSubagent attempts to stopYes
SessionStartSession beginsNo
SessionEndSession endsNo
PreCompactBefore context compactionYes
NotificationClaude needs inputNo

Blocking hooks can return "decision": "block" to prevent the action. See references/hook-types.md for detailed use cases. </hook_types>

<hook_anatomy> <hook_type name="command"> Type: Executes a shell command

Use when:

  • Simple validation (check file exists)
  • Logging (append to file)
  • External tools (formatters, linters)
  • Desktop notifications

Input: JSON via stdin Output: JSON via stdout (optional)

json
{
  "type": "command",
  "command": "/path/to/script.sh",
  "timeout": 30000
}

</hook_type>

<hook_type name="prompt"> Type: LLM evaluates a prompt

Use when:

  • Complex decision logic
  • Natural language validation
  • Context-aware checks
  • Reasoning required

Input: Prompt with $ARGUMENTS placeholder Output: JSON with decision and reason

json
{
  "type": "prompt",
  "prompt": "Evaluate if this command is safe: $ARGUMENTS\n\nReturn JSON: {\"decision\": \"approve\" or \"block\", \"reason\": \"explanation\"}"
}

</hook_type> </hook_anatomy>

json
{
  "matcher": "Bash",           // Exact match
  "matcher": "Write|Edit",     // Multiple tools (regex OR)
  "matcher": "mcp__.*",        // All MCP tools
  "matcher": "mcp__memory__.*" // Specific MCP server
}

No matcher: Hook fires for all tools

json
{
  "hooks": {
    "UserPromptSubmit": [
      {
        "hooks": [...]  // No matcher - fires on every user prompt
      }
    ]
  }
}

<input_output> Hooks receive JSON via stdin with session info, current directory, and event-specific data. Blocking hooks can return JSON to approve/block actions or modify inputs.

Example output (blocking hooks):

json
{
  "decision": "approve" | "block",
  "reason": "Why this decision was made"
}

See references/input-output-schemas.md for complete schemas for each hook type. </input_output>

<environment_variables> Available in hook commands:

VariableValue
$CLAUDE_PROJECT_DIRProject root directory
${CLAUDE_PLUGIN_ROOT}Plugin directory (plugin hooks only)
$ARGUMENTSHook input JSON (prompt hooks only)

Example:

json
{
  "command": "$CLAUDE_PROJECT_DIR/.claude/hooks/validate.sh"
}

</environment_variables>

<common_patterns> Desktop notification when input needed:

json
{
  "hooks": {
    "Notification": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "osascript -e 'display notification \"Claude needs input\" with title \"Claude Code\"'"
          }
        ]
      }
    ]
  }
}

Block destructive git commands:

json
{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "Bash",
        "hooks": [
          {
            "type": "prompt",
            "prompt": "Check if this command is destructive: $ARGUMENTS\n\nBlock if it contains: 'git push --force', 'rm -rf', 'git reset --hard'\n\nReturn: {\"decision\": \"approve\" or \"block\", \"reason\": \"explanation\"}"
          }
        ]
      }
    ]
  }
}

Auto-format code after edits:

json
{
  "hooks": {
    "PostToolUse": [
      {
        "matcher": "Write|Edit",
        "hooks": [
          {
            "type": "command",
            "command": "prettier --write $CLAUDE_PROJECT_DIR",
            "timeout": 10000
          }
        ]
      }
    ]
  }
}

Add context at session start:

json
{
  "hooks": {
    "SessionStart": [
      {
        "hooks": [
          {
            "type": "command",
            "command": "echo '{\"hookSpecificOutput\": {\"hookEventName\": \"SessionStart\", \"additionalContext\": \"Current sprint: Sprint 23. Focus: User authentication\"}}'"
          }
        ]
      }
    ]
  }
}

</common_patterns>

This shows which hooks matched, command execution, and output. See references/troubleshooting.md for common issues and solutions.

<reference_guides> Hook types and events: references/hook-types.md

  • Complete list of hook events
  • When each event fires
  • Input/output schemas for each
  • Blocking vs non-blocking hooks

Command vs Prompt hooks: references/command-vs-prompt.md

  • Decision tree: which type to use
  • Command hook patterns and examples
  • Prompt hook patterns and examples
  • Performance considerations

Matchers and patterns: references/matchers.md

  • Regex patterns for tool matching
  • MCP tool matching patterns
  • Multiple tool matching
  • Debugging matcher issues

Input/Output schemas: references/input-output-schemas.md

  • Complete schema for each hook type
  • Field descriptions and types
  • Hook-specific output fields
  • Example JSON for each event

Working examples: references/examples.md

  • Desktop notifications
  • Command validation
  • Auto-formatting workflows
  • Logging and audit trails
  • Stop logic patterns
  • Session context injection

Troubleshooting: references/troubleshooting.md

  • Hooks not triggering
  • Command execution failures
  • Prompt hook issues
  • Permission problems
  • Timeout handling
  • Debug workflow </reference_guides>

<security_checklist> Critical safety requirements:

  • Infinite loop prevention: Check stop_hook_active flag in Stop hooks to prevent recursive triggering
  • Timeout configuration: Set reasonable timeouts (default: 60s) to prevent hanging
  • Permission validation: Ensure hook scripts have executable permissions (chmod +x)
  • Path safety: Use absolute paths with $CLAUDE_PROJECT_DIR to avoid path injection
  • JSON validation: Validate hook config with jq before use to catch syntax errors
  • Selective blocking: Be conservative with blocking hooks to avoid workflow disruption

Testing protocol:

bash
# Always test with debug flag first
claude --debug

# Validate JSON config
jq . .claude/hooks.json

</security_checklist>

<success_criteria> A working hook configuration has:

  • Valid JSON in .claude/hooks.json (validated with jq)
  • Appropriate hook event selected for the use case
  • Correct matcher pattern that matches target tools
  • Command or prompt that executes without errors
  • Proper output schema (decision/reason for blocking hooks)
  • Tested with --debug flag showing expected behavior
  • No infinite loops in Stop hooks (checks stop_hook_active flag)
  • Reasonable timeout set (especially for external commands)
  • Executable permissions on script files if using file paths </success_criteria>

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Create Hooks AI skill do?

Expert guidance for creating, configuring, and using Claude Code hooks. Use when working with hooks, setting up event listeners, validating commands, automating workflows, adding notifications, or understanding hook types (PreToolUse, PostToolUse, Stop, SessionStart, UserPromptSubmit, etc).

Why use Create Hooks on TypingMind?

Because you install it once and use it with any model. Create Hooks is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Create Hooks in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/glittercowboy/taches-cc-resources/tree/main/skills/create-hooks. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Create Hooks?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Create Hooks?

As many as you like. As long as a model supports skills, you can use Create Hooks with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Create Hooks AI skill free?

Yes. It is published on GitHub by glittercowboy under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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