Generate Agent

Custom Agent Generator (Persona Factory)

Overview

This skill generates Custom Agent files that act as persistent specialized roles with:

• Identity: Job title, expertise domain, perspective
• Tool Set: Constrained capabilities (read-only by default, write when needed)
• Cognitive Architecture: Role-specific thinking process

Key distinction:

• Custom Agents (this skill) = Who (role, perspective, persona)
• Agent Skills (generate-agent-skills) = What (capability, workflow, task)

Example agents:

• Security Auditor (reads code, thinks like attacker, reports vulnerabilities)
• Documentation Writer (writes docs, enforces style, maintains consistency)
• Release Engineer (manages releases, validates readiness, updates changelogs)
• Code Reviewer (analyzes PRs, checks standards, suggests improvements)

Workflow

Step 1: Intent Validation

Confirm the user wants a Custom Agent (not a skill or instruction).

Decision tree:

• User wants a specialized role/perspective? → Continue to Step 2
  • Examples: "Security Auditor", "Documentation Writer", "Release Manager"
• User wants a repeatable workflow/task?
  • → STOP. Redirect to generate-agent-skills instead
  • Explain: Skills are for capabilities (generate tests, refactor code)
• User wants file/directory-specific rules?
  • → STOP. Redirect to generate-path-instructions instead
  • Explain: Path instructions are for scoped rules
• User wants global repository rules?
  • → STOP. Redirect to generate-repo-instructions instead
  • Explain: Repo instructions are for project-wide standards

Proceed only if creating a role-based agent.

Step 2: Role Analysis

Goal: Define the agent's identity, expertise, and perspective.

Load the role analysis checklist:

cat references/role_analysis_checklist.md

Work through the checklist to define:

1. Job Title - What is this agent's role?
2. Expertise Domain - What does it specialize in?
3. Primary Responsibilities - What does it do?
4. Perspective - How does it think differently?
5. Value Proposition - Why use this agent vs default?

Critical questions:

• What makes this role distinct from the default agent?
• What unique perspective or constraints does this role have?
• What decisions require this role's specialized judgment?

Example outputs:

Security Auditor:

• Job Title: Security Auditor
• Expertise: Application security, vulnerability detection, threat modeling
• Responsibilities: Find security flaws, suggest mitigations, prevent vulnerabilities
• Perspective: Think like an attacker first, assume breach mindset
• Value: Finds security issues developers miss

Documentation Writer:

• Job Title: Documentation Writer
• Expertise: Technical writing, information architecture, user experience
• Responsibilities: Create/maintain docs, enforce style, ensure clarity
• Perspective: Think from user's perspective, optimize for understanding
• Value: Produces consistent, high-quality documentation

Step 3: Tool Selection

Goal: Determine which tools the agent needs (read/write/search).

Load the tool selection guide:

cat references/tool_selection_guide.md

Default stance: Read-only

• Agents should observe and advise by default
• Only grant write permissions when explicitly needed

Decision framework:

Constraint checking:

• Does this role need to CREATE files? → Needs create
• Does this role need to MODIFY files? → Needs edit
• Does this role need to RUN commands? → Needs bash
• Does this role need to SEARCH semantically? → Needs semantic search

Output: List of tools with justification

Example:

Security Auditor: view, grep, bash (read-only analysis + command scanning)

• Rationale: Reads code, searches patterns, runs static analysis tools
• NO write tools: Reports findings, doesn't fix (stays in audit role)

Documentation Writer: view, grep, create, edit

• Rationale: Reads existing docs, creates new docs, updates content
• YES write tools: Primary job is creating/maintaining documentation

Step 4: Cognitive Architecture Design

Goal: Define how this agent thinks (role-specific reasoning process).

Load cognitive architecture patterns:

cat references/cognitive_architecture_patterns.md

Design the <thinking_process> based on role:

Components:

1. Initial Assessment - How does agent approach a new request?
2. Domain-Specific Analysis - What does agent look for first?
3. Constraint Application - What rules/principles guide thinking?
4. Decision Criteria - How does agent prioritize/evaluate?
5. Output Formulation - How does agent structure responses?

Example thinking processes:

Security Auditor:

<thinking_process>
1. **Threat Model First:** What could go wrong? What's the attack surface?
2. **Assume Breach Mindset:** If an attacker had access, what could they do?
3. **Check Common Vulnerabilities:** SQL injection, XSS, auth bypass, secrets exposure
4. **Trace Data Flow:** Where does user input flow? Is it sanitized?
5. **Prioritize by Impact:** Critical > High > Medium > Low severity
6. **Report with Evidence:** Include code snippets, line numbers, exploitation scenarios
</thinking_process>

Documentation Writer:

<thinking_process>
1. **Audience First:** Who will read this? What's their knowledge level?
2. **Information Architecture:** How does this fit in existing docs structure?
3. **Clarity over Cleverness:** Simple, direct language. Avoid jargon.
4. **Show, Don't Tell:** Include examples, code snippets, screenshots
5. **Style Consistency:** Follow established voice, tone, formatting
6. **Completeness Check:** Did I answer what/why/how? Include edge cases?
</thinking_process>

Step 5: Template Population

Goal: Generate the agent file using the template.

Load agent template:

cat assets/agent_template.md

Populate these sections:

1. YAML Frontmatter:

   • name: kebab-case role name (e.g., security-auditor)
   • description: One-sentence summary of role and purpose
   • tools: Array of tool names (validated in Step 3)

2. Agent Identity:

   • Role title and expertise domain
   • What makes this agent special
   • When to use this agent vs default

3. Thinking Process:

   • Role-specific <thinking_process> from Step 4
   • Structured with XML delimiters (prevents system prompt leakage)

4. Instructions:

   • Role-specific guidelines
   • Constraints and principles
   • Output format expectations

5. Examples (Optional but Recommended):

   • Show agent in action
   • Demonstrate role-specific reasoning
   • Illustrate unique value

File naming convention:

• .github/agents/{{role-name}}.agent.md
• Examples: security-auditor.agent.md, doc-writer.agent.md, release-engineer.agent.md
• Use kebab-case, be descriptive

Critical: XML Delimiters

• Use <thinking_process>, <examples>, <constraints> tags
• Prevents agent instructions from leaking into system prompt
• Maintains clean separation of agent config vs runtime behavior

Step 6: Validation & Testing

Validate the generated agent file:

# 1. Validate YAML frontmatter and structure
python3 .github/skills/generate-agent-skills/scripts/validate_skill.py --path .github/agents/

# 2. Check XML delimiter syntax
grep -E "<thinking_process>|</thinking_process>" .github/agents/{{agent-name}}.agent.md

# 3. Verify tool list matches allowed tools
# Allowed: view, edit, create, grep, glob, bash, task, etc.

Final checklist:

• YAML frontmatter is valid (name, description, tools)
• Tools list is minimal (read-only unless justified)
• Thinking process is role-specific (not generic)
• XML delimiters are properly closed
• Agent identity clearly explains unique value
• Examples demonstrate role-specific behavior (if included)
• No secrets or sensitive data

Output to user:

✅ Created: .github/agents/{{agent-name}}.agent.md
🎭 Role: {{Job Title}}
🛠️ Tools: {{tool1, tool2, tool3}}
💡 Unique Value: {{one-sentence value prop}}

📖 To use: Reference this agent in your request or switch to it in VS Code

Step 7: Usage Guidance (Optional)

Help the user understand how to use their new agent:

Activation methods:

1. Explicit request: "Use the security-auditor agent to review this code"
2. VS Code switcher: Select agent from dropdown
3. Auto-matching: Agent activates based on task keywords (if configured)

Best practices:

• Use for tasks that benefit from the role's perspective
• Don't overuse—default agent is fine for general tasks
• Combine with skills for powerful workflows (e.g., Security Auditor + generate-tests)

Resources

references/role_analysis_checklist.md

Guides LLM through defining agent identity, expertise, and perspective.

references/tool_selection_guide.md

Decision framework for choosing agent tools with security constraints.

references/cognitive_architecture_patterns.md

Examples of role-specific thinking processes for common agent types.

assets/agent_template.md

Complete agent file template with XML delimiters and structure.

Examples of Common Agents

Auditor/Reviewer Agents

• Security Auditor (finds vulnerabilities)
• Code Reviewer (enforces standards)
• Accessibility Auditor (checks WCAG compliance)
• Tools: Read-only (view, grep, bash for analysis)

Writer/Editor Agents

• Documentation Writer (creates/maintains docs)
• Release Notes Generator (writes changelogs)
• API Documentation Specialist (documents APIs)
• Tools: Read + Write (view, create, edit)

Analyst Agents

• Performance Analyst (finds bottlenecks)
• Dependency Auditor (analyzes deps)
• Tech Debt Analyst (identifies tech debt)
• Tools: Read + Search (view, grep, semantic search)

Maintainer Agents

• Release Engineer (manages releases)
• Configuration Manager (maintains configs)
• Migration Specialist (executes migrations)
• Tools: Read + Write + Execute (full toolset)

Anti-Patterns

❌ DON'T:

• Create agents for capabilities (use skills instead)
• Grant unnecessary write permissions
• Use generic thinking processes
• Mix multiple roles in one agent
• Create agents without clear unique value
• Forget XML delimiters (causes prompt leakage)

✅ DO:

• Create agents for distinct perspectives/roles
• Default to read-only tools
• Design role-specific thinking processes
• Include concrete examples
• Explain unique value vs default agent
• Use XML delimiters consistently

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