auto-trigger

Imported from zhaono1/agent-playbook (skills/auto-trigger/SKILL.md) via skills.sh. Install upstream with npx skills add zhaono1/agent-playbook --skill auto-trigger. Copyright stays with the author.

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

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

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

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:

---
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

---
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

---
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

---
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

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