This skill provides guidance for creating effective, agent-agnostic subagents.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsubagent-creatorExecute the skills CLI command in your project's root directory to begin installation:
Fetches subagent-creator from tech-leads-club/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate subagent-creator. Access via /subagent-creator in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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This skill provides guidance for creating effective, agent-agnostic subagents.
Subagents are specialized assistants that an AI agent can delegate tasks to. Characteristics:
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:
Use Skills for:
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]
Unique identifier. Use kebab-case.
name: security-auditor
CRITICAL for automatic delegation. Explains when to use this subagent.
Good descriptions:
Phrases that encourage automatic delegation:
model: inherit # Uses same model as parent (default)
model: fast # Uses fast model for quick tasks
readonly: true # Restricts write permissions
Define:
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]
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
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
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)
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]
Before finalizing:
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.
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
subagent-creator reduced setup friction for our internal harness; good balance of opinion and flexibility.
subagent-creator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in subagent-creator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: subagent-creator is the kind of skill you can hand to a new teammate without a long onboarding doc.
subagent-creator has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: subagent-creator is focused, and the summary matches what you get after install.
Registry listing for subagent-creator matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend subagent-creator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
subagent-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in subagent-creator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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