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Auto Trigger

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zhaono1
auto-trigger

Workflow hook metadata for agent-playbook skills. This skill documents trigger intent between skills - DO NOT use directly, and do not assume hooks execute unless the host runtime explicitly supports them.

Overview

Publisherzhaono1
Repositoryagent-playbook
Skill nameauto-trigger
Stars
79
Forks
12
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by zhaono1 on GitHub. Read the source before you install it.

Installation

Install the Auto Trigger 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/zhaono1/agent-playbook.git /tmp/agent-playbook
mkdir -p .claude/skills
cp -r /tmp/agent-playbook/skills/auto-trigger .claude/skills/auto-trigger
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Auto Trigger 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 Auto Trigger 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 Auto Trigger 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.

Auto-Trigger Hooks

This skill defines trigger intent between skills. When a skill completes its workflow, a host runtime or agent may read this metadata, record a pending follow-up, and execute the next skill only when that action is supported and safe for the current session.

Hook Definitions

PRD Creation Chain

yaml
prd_complete:
  triggers:
    - skill: self-improving-agent
      mode: background
      condition: PRD file exists and is complete
    - skill: session-logger
      mode: auto
      context: "PRD created for {feature_name}"

prd_implemented:
  triggers:
    - skill: session-logger
      mode: auto
      context: "Implemented PRD: {feature_name}"

Implementation Chain

yaml
implementation_complete:
  triggers:
    - skill: code-reviewer
      mode: ask_first
      message: "Implementation complete. Run code review?"
    - skill: create-pr
      mode: ask_first
      condition: user_requested_submission

Session Management

yaml
session_start:
  auto_triggers:
    - skill: session-logger
      action: create_session_file

session_end:
  auto_triggers:
    - skill: session-logger
      action: update_session_file

Hook Format in Skills

To add auto-trigger capability to a skill, add to its front matter:

yaml
---
name: my-skill
description: Skill description
allowed-tools: Read, Write, Edit
hooks:
  before_start:
    - trigger: session-logger
      mode: auto
      context: "Start {skill_name}"
  after_complete:
    - trigger: self-improving-agent
      mode: background
    - trigger: session-logger
      mode: auto
  on_error:
    - trigger: self-improving-agent
      mode: background
---

Implementation Guide

When a skill completes its workflow:

  1. Check hooks in its own front matter (before_start, after_complete, on_error, on_progress)
  2. For each hook:
    • If mode: auto, record or run a low-risk follow-up only when the host runtime supports it
    • If mode: background, record a non-blocking follow-up; do not mutate durable files silently
    • If mode: ask_first, ask user before triggering
    • If condition: exists, check it first
  3. Pass context to the triggered skill

Example Integration

prd-planner should add

yaml
---
name: prd-planner
description: Creates PRDs using persistent file-based planning...
allowed-tools: Read, Write, Edit, Bash, Grep, Glob, AskUserQuestion, WebSearch
hooks:
  after_complete:
    - trigger: self-improving-agent
      mode: background
      context: "PRD created at {prd_file}"
    - trigger: session-logger
      mode: auto
      context: "PRD creation complete"
---

self-improving-agent uses explicit validation and application gates

yaml
---
name: self-improving-agent
description: Captures redacted candidates, validates them with evidence, and records only explicitly applied rules...
allowed-tools: Read, Write, Edit, Bash, Grep, Glob
---

Its Claude failure hook is installed by the CLI adapter, not declared as portable skill metadata. The hooks examples in this skill are declarative intent only unless a host adapter explicitly implements them. Other hosts should use documented adapters or manual capture.

create-pr should add

yaml
---
name: create-pr
description: Creates pull requests with bilingual documentation updates...
allowed-tools: Read, Write, Edit, Bash, Grep, AskUserQuestion
hooks:
  after_complete:
    - trigger: session-logger
      mode: auto
      context: "PR created: {pr_title}"
---

Chain Visualization

┌──────────────┐
│ prd-planner  │
└──────┬───────┘
       │ after_complete
       ├──→ self-improving-agent (background)
       │         └──→ create-pr (ask_first)
       │                  └──→ session-logger (auto)
       └──→ session-logger (auto)

Error Correction Chain

yaml
on_error:
  triggers:
    - skill: self-improving-agent
      mode: background
      context: "Error occurred in {skill_name}"
    - skill: session-logger
      mode: auto
      context: "Error captured for {skill_name}"

Important Rules

  1. Don't create infinite loops - Ensure chains terminate
  2. Ask before major actions - Use mode: ask_first for PRs, deployments, and durable file changes
  3. Background tasks - Use mode: background for non-blocking analysis or proposal artifacts
  4. Pass context - Always include relevant context to triggered skills

Frequently asked questions

What does the Auto Trigger AI skill do?

Workflow hook metadata for agent-playbook skills. This skill documents trigger intent between skills - DO NOT use directly, and do not assume hooks execute unless the host runtime explicitly supports them.

Why use Auto Trigger on TypingMind?

Because you install it once and use it with any model. Auto Trigger 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 Auto Trigger in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaono1/agent-playbook/tree/main/skills/auto-trigger. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Auto Trigger?

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 Auto Trigger?

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

Is the Auto Trigger AI skill free?

Yes. It is published on GitHub by zhaono1 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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