본문으로 건너뛰기
cccskills
무료GitHub에 공개

subagent-creator

Guide for creating AI subagents with isolated context for complex multi-step workflows. Use when users want to create a subagent, specialized agent, verifier, debugger, or orchestrator that requires isolated context and deep specialization. Works with any agent that supports subagent delegation. Triggers on "create subagent", "new agent", "specialized assistant", "create verifier". Do NOT use for Cursor-specific subagents (use cursor-subagent-creator instead).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md6.9 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Audit and improve web accessibility following WCAG 2.1 guidelines. Use when asked to "improve accessibility", "a11y audit", "WCAG compliance", "screen reader support", "keyboard navigation", or "make accessible". Do NOT use for SEO (use seo), performance (use core-web-vitals), or comprehensive site audits covering multiple areas (use web-quality-audit).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

tech-leads-club/agent-skills7.1천2026년 10월 17일 업데이트

When the user wants to build an AI-powered outreach system, write cold emails, improve deliverability, or scale personalized outreach. Also use when the user mentions 'cold email,' 'cold outreach,' 'outreach automation,' 'Instantly,' 'Smartlead,' 'Clay,' 'email sequences,' 'deliverability,' 'personalization at scale,' 'reply rate,' or 'outreach stack.' This skill covers the complete AI cold outreach system from signal detection through conversion. Do NOT use for technical implementation, code review, or software architecture.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

tech-leads-club/agent-skills7.1천2026년 10월 17일 업데이트

When the user wants to price an AI product, choose a charge metric, design pricing tiers, or optimize margins. Also use when the user mentions 'AI pricing,' 'usage-based pricing,' 'consumption pricing,' 'outcome pricing,' 'BYOK,' 'bring your own key,' 'per-seat pricing,' 'pricing tiers,' 'AI margins,' 'cost per token,' or 'pricing model.' This skill covers pricing strategy, packaging, and margin management for AI-native products. Do NOT use for technical implementation, code review, or software architecture.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

tech-leads-club/agent-skills7.1천2026년 10월 17일 업데이트

ai-sdr

무료

When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI BDR,' or 'autonomous sales.' This skill covers AI SDR deployment, qualification automation, and agent architecture for sales development. Do NOT use for technical implementation, code review, or software architecture.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

tech-leads-club/agent-skills7.1천2026년 10월 17일 업데이트

ai-seo

무료

When the user wants to build programmatic SEO with AI, create competitor alternative pages, optimize for AI Overviews, or scale content production. Also use when the user mentions 'SEO,' 'programmatic SEO,' 'AI content,' 'competitor alternative pages,' 'AI Overviews,' 'search optimization,' 'DataForSEO,' 'content at scale,' 'keyword strategy,' or 'organic traffic.' This skill covers AI-powered SEO strategy from keyword research through programmatic page generation. Do NOT use for technical implementation, code review, or software architecture.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

tech-leads-club/agent-skills7.1천2026년 10월 17일 업데이트

When the user wants to create UGC ad campaigns, recruit UGC creators, generate AI UGC content, or scale with user-generated content. Also use when the user mentions 'UGC,' 'user-generated content,' 'creator ads,' 'Spark Ads,' 'whitelisting,' 'AI UGC,' 'Arcads,' 'Creatify,' 'creator brief,' or 'UGC testing.' This skill covers the UGC growth framework from creator recruitment through AI-powered scaling. Do NOT use for technical implementation, code review, or software architecture.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

tech-leads-club/agent-skills7.1천2026년 10월 17일 업데이트

tech-leads-club의 스킬 모두 보기

이 스킬의 문제 신고