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Subagent Creator

Free

Guidance for creating specialized AI subagents.

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Free · Opens the source repo

What Subagent Creator does

The Subagent Creator skill provides a structured approach to developing AI subagents that can handle complex workflows requiring isolated context. These subagents are designed to be specialized assistants that an AI agent can delegate tasks to, allowing for parallel execution and deep specialization in specific areas. This skill is particularly useful for developers and designers looking to enhance the capabilities of their AI systems by creating agents that can handle distinct tasks independently.

Subagents are characterized by their isolated context, which means each one operates within its own context window, enabling them to manage complex, multi-step processes without interference from other tasks. This isolation is crucial for tasks that require a high level of detail and accuracy, such as verification, debugging, or security auditing. By following the guidelines provided in this skill, users can create reusable subagents that can be invoked for various purposes, thus streamlining workflows and improving efficiency.

The creation process involves defining the subagent's purpose, configuring its metadata, and writing a clear prompt that outlines its identity, responsibilities, and expected outputs. The skill also emphasizes the importance of specificity in the subagent's description to ensure that automatic delegation occurs effectively. With best practices and common patterns provided, users can avoid common pitfalls and create focused, effective subagents that enhance their AI's functionality.

When to use it

Use this skill when you need to create subagents for complex tasks that require isolated context and specialization.

When not to use it

Avoid this skill for simple, one-off tasks that do not require context isolation or deep specialization.

What you can build with it

Creating a Verification Agent

Use the Subagent Creator to define a verification agent that independently validates completed tasks, ensuring quality and accuracy.

Developing a Debugger

Leverage this skill to create a debugging subagent that specializes in root cause analysis for software errors.

Establishing a Security Auditor

Utilize the Subagent Creator to build a security auditing subagent that checks for vulnerabilities in code and ensures compliance.

How to install Subagent Creator

View source

1. Install with the skills CLI

npx skills add tech-leads-club/agent-skills/subagent-creator --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by tech-leads-club

Subagent Creator

This skill provides guidance for creating effective, agent-agnostic subagents.

What are Subagents?

Subagents are specialized assistants that an AI agent can delegate tasks to. Characteristics:

  • Isolated context: Each subagent has its own context window
  • Parallel execution: Multiple subagents can run simultaneously
  • Specialization: Configured with specific prompts and expertise
  • Reusable: Defined once, used in multiple contexts

When to Use Subagents vs Skills

Is the task complex with multiple steps?
├─ YES → Does it require isolated context?
│         ├─ YES → Use SUBAGENT
│         └─ NO → Use SKILL
│
└─ NO → Use SKILL

Use Subagents for:

  • Complex workflows requiring isolated context
  • Long-running tasks that benefit from specialization
  • Verification and auditing (independent perspective)
  • Parallel workstreams

Use Skills for:

  • Quick, one-off actions
  • Domain knowledge without context isolation
  • Reusable procedures that don't need isolation

Subagent Structure

A subagent is typically a markdown file with frontmatter metadata:

---
name: agent-name
description: Description of when to use this subagent.
model: inherit # or fast, or specific model ID
readonly: false # true to restrict write permissions
---

You are an [expert in X].

When invoked:

1. [Step 1]
2. [Step 2]
3. [Step 3]

[Detailed instructions about expected behavior]

Report [type of expected result]:

- [Output format]
- [Metrics or specific information]

Subagent Creation Process

1. Define the Purpose

  • What specific responsibility does the subagent have?
  • Why does it need isolated context?
  • Does it involve multiple complex steps?
  • Does it require deep specialization?

2. Configure the Metadata

name (required)

Unique identifier. Use kebab-case.

name: security-auditor

description (critical)

CRITICAL for automatic delegation. Explains when to use this subagent.

Good descriptions:

  • "Security specialist. Use when implementing auth, payments, or handling sensitive data."
  • "Debugging specialist for errors and test failures. Use when encountering issues."
  • "Validates completed work. Use after tasks are marked done."

Phrases that encourage automatic delegation:

  • "Use proactively when..."
  • "Always use for..."
  • "Automatically delegate when..."

model (optional)

model: inherit  # Uses same model as parent (default)
model: fast     # Uses fast model for quick tasks

readonly (optional)

readonly: true # Restricts write permissions

3. Write the Subagent Prompt

Define:

  1. Identity: "You are an [expert]..."
  2. When invoked: Context of use
  3. Process: Specific steps to follow
  4. Expected output: Format and content

Template:

You are an [expert in X] specialized in [Y].

When invoked:

1. [First action]
2. [Second action]
3. [Third action]

[Detailed instructions about approach]

Report [type of result]:

- [Specific format]
- [Information to include]
- [Metrics or criteria]

[Philosophy or principles to follow]

Common Subagent Patterns

1. Verification Agent

Purpose: Independently validates that completed work actually works.

---
name: verifier
description: Validates completed work. Use after tasks are marked done.
model: fast
---

You are a skeptical validator.

When invoked:

1. Identify what was declared as complete
2. Verify the implementation exists and is functional
3. Execute tests or relevant verification steps
4. Look for edge cases that may have been missed

Be thorough. Report:

- What was verified and passed
- What is incomplete or broken
- Specific issues to address

2. Debugger

Purpose: Expert in root cause analysis.

---
name: debugger
description: Debugging specialist. Use when encountering errors or test failures.
---

You are a debugging expert.

When invoked:

1. Capture the error message and stack trace
2. Identify reproduction steps
3. Isolate the failure location
4. Implement minimal fix
5. Verify the solution works

For each issue, provide:

- Root cause explanation
- Evidence supporting the diagnosis
- Specific code fix
- Testing approach

3. Security Auditor

Purpose: Security expert auditing code.

---
name: security-auditor
description: Security specialist. Use for auth, payments, or sensitive data.
---

You are a security expert.

When invoked:

1. Identify security-sensitive code paths
2. Check for common vulnerabilities
3. Confirm secrets are not hardcoded
4. Review input validation

Report findings by severity:

- **Critical** (must fix before deploy)
- **High** (fix soon)
- **Medium** (address when possible)
- **Low** (suggestions)

4. Code Reviewer

Purpose: Code review with focus on quality.

---
name: code-reviewer
description: Code review specialist. Use when changes are ready for review.
---

You are a code review expert.

When invoked:

1. Analyze the code changes
2. Check readability, performance, patterns, error handling
3. Identify code smells and potential bugs
4. Suggest specific improvements

Report:
**✅ Approved / ⚠️ Approved with caveats / ❌ Changes needed**

**Issues Found:**

- **[Severity]** [Location]: [Issue]
  - Suggestion: [How to fix]

Best Practices

✅ DO

  • Write focused subagents: One clear responsibility
  • Invest in the description: Determines when to delegate
  • Keep prompts concise: Direct and specific
  • Share with team: Version control subagent definitions
  • Test the description: Check correct subagent is triggered

❌ AVOID

  • Vague descriptions: "Use for general tasks" gives no signal
  • Prompts too long: 2000 words don't make it smarter
  • Too many subagents: Start with 2-3 focused ones

Quality Checklist

Before finalizing:

  • Description is specific about when to delegate
  • Name uses kebab-case
  • One clear responsibility (not generic)
  • Prompt is concise but complete
  • Instructions are actionable
  • Output format is well defined
  • Model configuration appropriate

Output Messages

When creating a subagent:

✅ Subagent created successfully!

📁 Location: .agent/subagents/[name].md
🎯 Purpose: [brief description]
🔧 How to invoke:
   - Automatic: Agent delegates when it detects [context]
   - Explicit: /[name] [instruction]

💡 Tip: Include keywords like "use proactively" to encourage delegation.

Frequently asked questions about Subagent Creator

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