subagent-creator▌
tech-leads-club/agent-skills · updated Apr 8, 2026
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This skill provides guidance for creating effective, agent-agnostic subagents.
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:
- Identity: "You are an [expert]..."
- When invoked: Context of use
- Process: Specific steps to follow
- 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.
How to use subagent-creator on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add subagent-creator
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches subagent-creator from GitHub repository tech-leads-club/agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate subagent-creator. Access the skill through slash commands (e.g., /subagent-creator) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★35 reviews- ★★★★★Noah Torres· Dec 24, 2024
subagent-creator reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kabir Taylor· Dec 8, 2024
subagent-creator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Rahul Santra· Nov 27, 2024
Useful defaults in subagent-creator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Camila Kapoor· Nov 27, 2024
Keeps context tight: subagent-creator is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Valentina Liu· Nov 15, 2024
subagent-creator has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Anaya Kapoor· Oct 26, 2024
Solid pick for teams standardizing on skills: subagent-creator is focused, and the summary matches what you get after install.
- ★★★★★Pratham Ware· Oct 18, 2024
Registry listing for subagent-creator matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Diego Ramirez· Oct 18, 2024
I recommend subagent-creator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sofia Verma· Oct 6, 2024
subagent-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Diego Perez· Sep 25, 2024
Useful defaults in subagent-creator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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