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Adds the plugin-dev plugin to public marketplace. A comprehensive toolkit for
developing Claude Code plugins with 7 expert skills, 3 AI-assisted agents, and
extensive documentation covering the complete plugin development lifecycle.
Key features:
- 7 skills: hook-development, mcp-integration, plugin-structure, plugin-settings,
command-development, agent-development, skill-development
- 3 agents: agent-creator (AI-assisted generation), plugin-validator (structure
validation), skill-reviewer (quality review)
- 1 command: /plugin-dev:create-plugin (guided 8-phase workflow)
- 10 utility scripts for validation and testing
- 21 reference docs with deep-dive guidance (~11k words)
- 9 working examples demonstrating best practices
Changes for public release:
- Replaced all references to internal repositories with "Claude Code"
- Updated MCP examples: internal.company.com → api.example.com
- Updated token variables: ${INTERNAL_TOKEN} → ${API_TOKEN}
- Reframed agent-creation-system-prompt as "proven in production"
- Preserved all ${CLAUDE_PLUGIN_ROOT} references (186 total)
- Preserved valuable test blocks in core modules
Validation:
- All 3 agents validated successfully with validate-agent.sh
- All JSON files validated with jq
- Zero internal references remaining
- 59 files migrated, 21,971 lines added
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
491 lines
11 KiB
Markdown
491 lines
11 KiB
Markdown
# Agent Triggering Examples: Best Practices
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Complete guide to writing effective `<example>` blocks in agent descriptions for reliable triggering.
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## Example Block Format
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The standard format for triggering examples:
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```markdown
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<example>
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Context: [Describe the situation - what led to this interaction]
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user: "[Exact user message or request]"
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assistant: "[How Claude should respond before triggering]"
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<commentary>
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[Explanation of why this agent should be triggered in this scenario]
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</commentary>
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assistant: "[How Claude triggers the agent - usually 'I'll use the [agent-name] agent...']"
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</example>
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```
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## Anatomy of a Good Example
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### Context
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**Purpose:** Set the scene - what happened before the user's message
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**Good contexts:**
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```
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Context: User just implemented a new authentication feature
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Context: User has created a PR and wants it reviewed
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Context: User is debugging a test failure
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Context: After writing several functions without documentation
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```
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**Bad contexts:**
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```
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Context: User needs help (too vague)
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Context: Normal usage (not specific)
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```
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### User Message
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**Purpose:** Show the exact phrasing that should trigger the agent
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**Good user messages:**
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```
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user: "I've added the OAuth flow, can you check it?"
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user: "Review PR #123"
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user: "Why is this test failing?"
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user: "Add docs for these functions"
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```
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**Vary the phrasing:**
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Include multiple examples with different phrasings for the same intent:
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```
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Example 1: user: "Review my code"
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Example 2: user: "Can you check this implementation?"
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Example 3: user: "Look over my changes"
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```
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### Assistant Response (Before Triggering)
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**Purpose:** Show what Claude says before launching the agent
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**Good responses:**
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```
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assistant: "I'll analyze your OAuth implementation."
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assistant: "Let me review that PR for you."
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assistant: "I'll investigate the test failure."
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```
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**Proactive example:**
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```
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assistant: "Great! Now let me review the code quality."
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<commentary>
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Code was just written, proactively trigger review agent.
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</commentary>
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```
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### Commentary
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**Purpose:** Explain the reasoning - WHY this agent should trigger
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**Good commentary:**
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```
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<commentary>
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User explicitly requested code review, trigger the code-reviewer agent.
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</commentary>
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<commentary>
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After code implementation, proactively use review agent to check quality.
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</commentary>
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<commentary>
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PR analysis request matches pr-analyzer agent's expertise.
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</commentary>
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```
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**Include decision logic:**
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```
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<commentary>
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User wrote tests (Test tool used). The test-analyzer agent should check
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test quality and coverage before continuing.
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</commentary>
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```
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### Assistant Response (Triggering)
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**Purpose:** Show how Claude invokes the agent
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**Standard pattern:**
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```
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assistant: "I'll use the [agent-name] agent to [what it will do]."
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```
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**Examples:**
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```
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assistant: "I'll use the code-reviewer agent to analyze the changes."
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assistant: "Let me use the test-generator agent to create comprehensive tests."
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assistant: "I'll use the security-analyzer agent to check for vulnerabilities."
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```
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## Example Types
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### Type 1: Explicit Request
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User directly asks for what the agent does:
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```markdown
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<example>
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Context: User explicitly requests security analysis
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user: "Check my code for security vulnerabilities"
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assistant: "I'll use the security-analyzer agent to perform a thorough security review."
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<commentary>
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Direct security analysis request triggers the security-analyzer agent.
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</commentary>
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</example>
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```
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### Type 2: Proactive Triggering
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Agent triggers after relevant work without explicit request:
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```markdown
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<example>
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Context: User just implemented database queries
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user: "I've added the user search functionality"
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assistant: "Great! Let me review it for security."
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<commentary>
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Database code written. Proactively trigger security-analyzer to check
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for SQL injection and other database security issues.
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</commentary>
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assistant: "I'll use the security-analyzer agent to check the database code."
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</example>
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```
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### Type 3: Implicit Request
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User implies need without stating it directly:
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```markdown
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<example>
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Context: User mentions code is hard to understand
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user: "This code is confusing and hard to follow"
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assistant: "I can help improve the code clarity."
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<commentary>
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User indicates complexity issues. Trigger code-simplifier agent to refactor
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for better readability.
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</commentary>
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assistant: "I'll use the code-simplifier agent to suggest improvements."
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</example>
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```
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### Type 4: Tool Usage Pattern
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Agent triggers based on prior tool usage:
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```markdown
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<example>
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Context: User made multiple edits to test files
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user: "I've updated all the tests"
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assistant: "Great! Let me verify test quality."
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<commentary>
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Multiple Edit tools used on test files. Proactively trigger test-quality-analyzer
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to ensure tests follow best practices.
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</commentary>
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assistant: "I'll use the test-quality-analyzer agent to review the tests."
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</example>
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```
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## Multiple Examples Strategy
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### Cover Different Phrasings
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```markdown
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<example>
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user: "Review my code"
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[...]
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</example>
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<example>
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user: "Can you check my implementation?"
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[...]
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</example>
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<example>
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user: "Look over these changes"
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[...]
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</example>
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```
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### Cover Proactive and Reactive
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```markdown
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<example>
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Context: User explicitly requests review
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user: "Review my code for issues"
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[...]
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</example>
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<example>
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Context: After user writes code
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user: "I've implemented the feature"
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assistant: "Great! Now let me review it."
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<commentary>
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Code written, proactively review.
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</commentary>
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[...]
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</example>
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```
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### Cover Edge Cases
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```markdown
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<example>
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Context: Typical usage
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user: "Check my PR"
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[...]
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</example>
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<example>
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Context: Large PR that needs thorough analysis
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user: "This is a big PR, can you do a deep review?"
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[...]
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<commentary>
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Large PR mentioned, use thorough analysis mode.
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</commentary>
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</example>
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```
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## Common Mistakes
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### ❌ Missing Context
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```markdown
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<example>
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user: "Review my code"
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assistant: "I'll use the code-reviewer agent."
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</example>
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```
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**Why bad:** No context about what led to this request.
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### ✅ With Context
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```markdown
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<example>
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Context: User just finished implementing authentication
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user: "Review my code"
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assistant: "I'll use the code-reviewer agent to analyze the auth implementation."
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<commentary>
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Auth code written, review for security and best practices.
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</commentary>
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</example>
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```
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### ❌ No Commentary
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```markdown
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<example>
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Context: User requests review
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user: "Check my changes"
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assistant: "I'll use the reviewer agent."
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</example>
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```
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**Why bad:** Doesn't explain WHY agent triggers.
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### ✅ With Commentary
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```markdown
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<example>
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Context: User requests review after making changes
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user: "Check my changes"
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assistant: "I'll use the code-reviewer agent to analyze the modifications."
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<commentary>
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Code review request triggers agent to check quality, security, and adherence to standards.
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</commentary>
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</example>
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```
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### ❌ Agent Responds Directly
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```markdown
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<example>
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user: "Review my code"
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assistant: "I found the following issues: [lists issues]"
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</example>
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```
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**Why bad:** Shows agent's output, not triggering.
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### ✅ Shows Triggering
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```markdown
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<example>
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user: "Review my code"
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assistant: "I'll use the code-reviewer agent to perform the review."
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<commentary>
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Review request triggers the agent.
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</commentary>
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</example>
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```
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## How Many Examples?
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### Minimum: 2 Examples
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Cover at least:
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1. Explicit request
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2. One variation or proactive trigger
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### Recommended: 3-4 Examples
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Cover:
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1. Explicit request (direct ask)
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2. Implicit request (user implies need)
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3. Proactive trigger (after relevant work)
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4. Edge case or specific scenario
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### Maximum: 6 Examples
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More than 6 makes description too long. Focus on most important scenarios.
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## Template Library
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### Code Review Agent
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```markdown
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<example>
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Context: User just implemented a new feature
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user: "I've added the user registration feature"
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assistant: "Great! Let me review the code quality."
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<commentary>
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Code written, proactively trigger code-reviewer agent.
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</commentary>
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assistant: "I'll use the code-reviewer agent to analyze the implementation."
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</example>
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<example>
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Context: User explicitly requests review
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user: "Can you review my changes for issues?"
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assistant: "I'll use the code-reviewer agent to perform a thorough review."
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<commentary>
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Explicit review request triggers the agent.
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</commentary>
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</example>
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```
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### Test Generation Agent
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```markdown
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<example>
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Context: User implemented functions without tests
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user: "I've added the data processing functions"
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assistant: "Great! Let me generate tests for these."
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<commentary>
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New code without tests, proactively trigger test-generator agent.
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</commentary>
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assistant: "I'll use the test-generator agent to create comprehensive tests."
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</example>
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<example>
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Context: User explicitly asks for tests
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user: "Generate tests for my code"
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assistant: "I'll use the test-generator agent to create a complete test suite."
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<commentary>
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Direct test generation request triggers the agent.
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</commentary>
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</example>
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```
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### Documentation Agent
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```markdown
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<example>
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Context: User added new API endpoints
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user: "I've implemented the REST API endpoints"
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assistant: "I'll document these endpoints."
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<commentary>
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New API code, proactively generate documentation.
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</commentary>
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assistant: "I'll use the api-docs-writer agent to create comprehensive documentation."
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</example>
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<example>
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Context: User requests documentation
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user: "Write docs for this API"
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assistant: "I'll use the api-docs-writer agent to generate clear documentation."
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<commentary>
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Documentation request triggers the agent.
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</commentary>
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</example>
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```
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### Validation Agent
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```markdown
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<example>
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Context: User ready to commit changes
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user: "I'm ready to commit this code"
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assistant: "Let me validate it first."
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<commentary>
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Before commit, proactively validate with validation-agent.
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</commentary>
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assistant: "I'll use the code-validator agent to check for issues."
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</example>
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<example>
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Context: User asks for validation
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user: "Validate my implementation"
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assistant: "I'll use the code-validator agent to verify correctness."
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<commentary>
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Explicit validation request triggers the agent.
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</commentary>
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</example>
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```
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## Debugging Triggering Issues
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### Agent Not Triggering
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**Check:**
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1. Examples include relevant keywords from user message
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2. Context matches actual usage scenarios
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3. Commentary explains triggering logic clearly
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4. Assistant shows use of Agent tool in examples
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**Fix:**
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Add more examples covering different phrasings.
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### Agent Triggers Too Often
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**Check:**
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1. Examples are too broad or generic
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2. Triggering conditions overlap with other agents
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3. Commentary doesn't distinguish when NOT to use
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**Fix:**
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Make examples more specific, add negative examples.
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### Agent Triggers in Wrong Scenarios
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**Check:**
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1. Examples don't match actual intended use
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2. Commentary suggests inappropriate triggering
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**Fix:**
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Revise examples to show only correct triggering scenarios.
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## Best Practices Summary
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✅ **DO:**
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- Include 2-4 concrete, specific examples
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- Show both explicit and proactive triggering
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- Provide clear context for each example
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- Explain reasoning in commentary
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- Vary user message phrasing
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- Show Claude using Agent tool
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❌ **DON'T:**
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- Use generic, vague examples
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- Omit context or commentary
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- Show only one type of triggering
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- Skip the agent invocation step
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- Make examples too similar
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- Forget to explain why agent triggers
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## Conclusion
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Well-crafted examples are crucial for reliable agent triggering. Invest time in creating diverse, specific examples that clearly demonstrate when and why the agent should be used.
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