skillful-subagent-creator
Creates Claude subagents equipped with curated skills for solving problems within DAG workflows. Use when designing a specialist subagent, selecting skills for a subagent, writing the 4-section subagent prompt, or wiring subagents into orchestration DAGs. Activate on "create subagent", "subagent with skills", "specialist agent", "agent DAG", "orchestrate agents", "skill-equipped agent". NOT for creating skills themselves (use skill-architect), general Claude Code usage, or single-agent prompting without skills.
Best use case
skillful-subagent-creator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Creates Claude subagents equipped with curated skills for solving problems within DAG workflows. Use when designing a specialist subagent, selecting skills for a subagent, writing the 4-section subagent prompt, or wiring subagents into orchestration DAGs. Activate on "create subagent", "subagent with skills", "specialist agent", "agent DAG", "orchestrate agents", "skill-equipped agent". NOT for creating skills themselves (use skill-architect), general Claude Code usage, or single-agent prompting without skills.
Teams using skillful-subagent-creator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/skillful-subagent-creator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How skillful-subagent-creator Compares
| Feature / Agent | skillful-subagent-creator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Creates Claude subagents equipped with curated skills for solving problems within DAG workflows. Use when designing a specialist subagent, selecting skills for a subagent, writing the 4-section subagent prompt, or wiring subagents into orchestration DAGs. Activate on "create subagent", "subagent with skills", "specialist agent", "agent DAG", "orchestrate agents", "skill-equipped agent". NOT for creating skills themselves (use skill-architect), general Claude Code usage, or single-agent prompting without skills.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
ChatGPT vs Claude for Agent Skills
Compare ChatGPT and Claude for AI agent skills across coding, writing, research, and reusable workflow execution.
SKILL.md Source
# Skillful Subagent Creator
Creates Claude subagents that are equipped with curated skills as their standard operating procedures. Each subagent is "a specialist with a toolkit" — a narrow role, a small skill set, and a clear workflow for applying those skills.
---
## When to Use
✅ **Use for**:
- Designing a specialist subagent for a specific domain
- Selecting which skills to attach to a subagent (2-5 core skills)
- Writing the 4-section subagent prompt (Identity, Skills, Task Loop, Constraints)
- Wiring subagents into DAG orchestration workflows
- Defining input/output contracts between DAG nodes
❌ **NOT for**:
- Creating the skills themselves (use `skill-architect`)
- Single-agent prompting without skills
- General Claude Code features or MCP setup
---
## Subagent Creation Process
```mermaid
flowchart TD
A[Define the role] --> B[Select 2-5 skills]
B --> C[Write 4-section prompt]
C --> D[Define input/output contracts]
D --> E[Choose DAG position]
E --> F{Standalone or chained?}
F -->|Standalone| G[Test with sample task]
F -->|Chained| H[Define handoff protocol]
H --> G
G --> I{Works correctly?}
I -->|No| C
I -->|Yes| J[Deploy]
```
---
## Step 1: Define the Role
A subagent's role must be **narrow enough to be expert, broad enough to be useful**.
```mermaid
flowchart TD
A{How narrow?} -->|Too broad| B["Do all marketing" ❌]
A -->|Right| C["Draft landing page copy" ✅]
A -->|Too narrow| D["Fix typos in H1 tags" ❌]
```
**Test**: Can you describe what this subagent does in one sentence with a specific verb and noun? If not, narrow it.
**Examples of well-scoped roles**:
| Role | Domain | Sentence |
|------|--------|----------|
| Refactorer | TypeScript | "Designs and executes safe refactors in TypeScript monorepos" |
| PR Reviewer | Code review | "Reviews pull request diffs for correctness, style, and security" |
| Research Synthesizer | Research | "Synthesizes multi-source research into cited briefing documents" |
| Migration Planner | Databases | "Plans database schema migrations with rollback strategies" |
---
## Step 2: Select Skills (2-5)
Skills are the subagent's standard operating procedures. Too few and it improvises; too many and it drowns in context.
### Selection Criteria
```mermaid
flowchart TD
A{For each candidate skill} --> B{Needed for >50% of tasks?}
B -->|Yes| C[Preload into context]
B -->|No| D{Needed for 10-50%?}
D -->|Yes| E[Add to dynamic catalog]
D -->|No| F[Don't include]
```
### Three Loading Tiers
| Tier | Skills | How Loaded | Token Cost |
|------|--------|------------|------------|
| **Preloaded** | 2-5 core skills | Full SKILL.md injected into system prompt | ~2-5k tokens per skill |
| **Catalog** | 5-20 available skills | Name + 1-line description in prompt; loaded on demand | ~50 tokens per skill |
| **None** | Everything else | Not mentioned; agent uses generic reasoning | 0 tokens |
### Example Skill Selection
**Role**: PR Reviewer for TypeScript/React
| Tier | Skill | Why |
|------|-------|-----|
| Preloaded | `code-review-skill` | Core to every task |
| Preloaded | `react-server-components` | Catches RSC anti-patterns |
| Catalog | `typescript-strict-mode` | Sometimes relevant |
| Catalog | `testing-patterns` | Only for test file reviews |
| None | `database-migration` | Not in scope |
---
## Step 3: Write the 4-Section Prompt
Every subagent prompt has exactly four sections. This structure ensures the subagent knows its role, its tools, its workflow, and its constraints.
### Section 1: Identity
```markdown
You are the **[Role Name]** subagent for this system.
You handle [narrow domain of tasks].
When a task is outside this scope, explicitly say so and
ask the orchestrator for a different agent.
```
Keep it to 2-4 sentences. Name the specific domain. State the boundary explicitly.
### Section 2: Skill Usage Rules
```markdown
You have access to the following skills, which define your methods:
- `skill-a`: [1-line purpose]
- `skill-b`: [1-line purpose]
- `skill-c`: [1-line purpose]
These are your standard operating procedures, not optional hints.
When tackling a task:
1. Decide which skill(s) apply
2. Follow their step-by-step workflow
3. Use their output formats and checklists
4. Reference skill steps by number as you work
```
### Section 3: Task-Handling Loop
```markdown
For each task you receive:
1. Restate the task in your own words
2. Select one or more skills that fit. If none fit well, say so.
3. If needed, ask 2-5 clarifying questions
4. Produce a short internal plan
5. Execute the skill workflow step by step
6. Run any validation/QA steps from the skill
7. Return:
(a) Final artifacts
(b) Which skills you used (and which steps)
(c) Assumptions and remaining risks
```
### Section 4: Constraints
```markdown
Quality bar: [e.g., "Never knowingly leave tests failing"]
Safety: [e.g., "No destructive operations without confirmation"]
Tie-breaking: [e.g., "If speed vs robustness conflict, pick robustness"]
Output format: [e.g., "Always return valid JSON matching the output contract"]
```
---
## Step 4: Define Input/Output Contracts
Every subagent must have explicit contracts so orchestrators and downstream agents can work with it.
### Input Contract
```json
{
"task": "string — description of what to do",
"files": ["string — paths to relevant files"],
"context": "string — prior agent output or user requirements",
"constraints": {
"time_budget": "string — e.g., '5 minutes'",
"quality_bar": "string — e.g., 'production-ready'"
}
}
```
### Output Contract
```json
{
"status": "pass | warn | fail",
"artifacts": ["string — files created or modified"],
"summary": "string — 1-3 sentence description of what was done",
"skills_used": ["string — skill names and step numbers"],
"risks": ["string — remaining risks or assumptions"],
"metadata": {
"duration_ms": "number",
"tokens_used": "number"
}
}
```
---
## Step 5: Wire into DAG Workflows
### Orchestration Patterns
```mermaid
flowchart TD
subgraph "Single Specialist"
O1[Orchestrator] --> S1[Specialist]
S1 --> O1
end
subgraph "Chain"
O2[Orchestrator] --> C1[Designer]
C1 --> C2[Implementer]
C2 --> C3[Tester]
C3 --> O2
end
subgraph "Fan-out / Fan-in"
O3[Orchestrator] --> P1[Auth Agent]
O3 --> P2[Billing Agent]
O3 --> P3[UI Agent]
P1 --> M[Merger]
P2 --> M
P3 --> M
M --> O3
end
```
### Pattern Selection
| Pattern | When to Use | Skill Requirement |
|---------|-------------|-------------------|
| **Single Specialist** | Task maps to one domain | Agent has 2-5 preloaded skills |
| **Chain** | Sequential transformation pipeline | Each agent has different skills; output of A feeds input of B |
| **Fan-out / Fan-in** | Independent parallel work | Agents work concurrently; merger resolves conflicts |
| **Loop** | Iterative refinement | Same agent re-runs with feedback until quality bar met |
| **Human-in-the-Loop** | Approval required | Agent produces draft; human reviews; agent revises |
### DAG Node Definition
Each node in a DAG is a subagent with:
```yaml
node:
id: review-pr
agent: pr-reviewer
skills: [code-review-skill, react-server-components]
input_from: [parse-diff]
output_to: [merge-decision]
retry: 2
timeout: 300s
on_failure: escalate-to-human
```
---
## Step 6: Test
### Test Protocol
1. **Happy path**: Give the subagent a task that matches its skills perfectly
2. **Edge case**: Give a task at the boundary of its scope
3. **Out of scope**: Give a task outside its domain — it should refuse and say so
4. **Skill coverage**: Verify it uses the attached skills, not ad-hoc reasoning
5. **Output contract**: Verify output matches the JSON schema exactly
### Red Flags
- Agent invents processes instead of following skills → Skill usage rules not strong enough
- Agent tries to handle out-of-scope tasks → Identity section not clear enough
- Output doesn't match contract → Add explicit output format to constraints
- Agent loads all references eagerly → Add lazy-loading instruction to prompt
---
## Complete Example: PR Reviewer Subagent
### Config
```yaml
name: pr-reviewer
role: "Reviews TypeScript/React pull requests for correctness, style, and security"
skills:
preloaded:
- code-review-skill
- react-server-components
catalog:
- typescript-strict-mode
- testing-patterns
tools: [Read, Grep, Glob]
input_from: [diff-parser]
output_to: [merge-decision]
```
### Prompt
```
You are the **PR Reviewer** subagent. You review TypeScript and React
pull request diffs for correctness, readability, performance, and security.
You do NOT implement features, fix bugs, or write new code. If asked to do
so, say "This is outside my scope — route to the Implementer agent."
Your skills define your standard process:
- `code-review-skill`: Structured review methodology (correctness → style → perf → security)
- `react-server-components`: Catches RSC anti-patterns ('use client' overuse, async component errors)
For each PR you receive:
1. Restate what the PR changes and why
2. Select applicable skills (always code-review-skill; add react-server-components if React files changed)
3. Follow the skill's review steps in order
4. Produce findings in the output contract format
5. Summarize: approve, request changes, or block
Quality bar: Never approve a PR with failing tests or security vulnerabilities.
Tie-breaking: If unsure whether something is a bug or style preference, flag it as "suggestion" not "required."
Output: Always return JSON matching the output contract schema.
```
---
## Anti-Patterns
### Skill-Less Subagent
**Wrong**: Creating a subagent with just a role description and no skills.
**Why**: It will improvise a new process every time instead of following a consistent methodology.
**Fix**: Attach 2-5 skills as standard operating procedures.
### Skill Overload
**Wrong**: Attaching 15 skills to one subagent.
**Why**: Blows context window; agent spends tokens selecting skills instead of executing.
**Fix**: Max 5 preloaded, rest in catalog. Let the orchestrator pre-filter.
### Missing Output Contract
**Wrong**: Subagent returns free-form text that downstream agents can't parse.
**Why**: DAG breaks because the next node can't consume the output.
**Fix**: Define explicit JSON output contract. Validate in tests.
### Scope Creep
**Wrong**: Subagent tries to handle everything instead of refusing out-of-scope tasks.
**Why**: Identity section doesn't state boundaries clearly enough.
**Fix**: Add "You do NOT handle X, Y, Z. If asked, say so and suggest the right agent."Related Skills
web-weather-creator
Master of stylized atmospheric effects using SVG filters and CSS animations. Creates clouds, waves, lightning, rain, fog, aurora borealis, god rays, lens flares, twilight skies, and ocean spray—all with a premium aesthetic that's stylized but never cheap-looking.
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
pixel-art-infographic-creator
Generate pixel art diagrams and infographics in retro 16-bit SNES aesthetic — recovery education visuals, flowcharts, data visualizations, process diagrams with dithering and limited palettes. NOT for photo-realistic images, vector graphics, or high-resolution illustration.
pet-memorial-creator
Compassionate support for pet loss, memorial creation, and honoring the bond between humans and their animal companions. Specializes in tribute writing, keepsake ideas, and navigating the unique grief of losing a pet.
mcp-creator
Expert MCP (Model Context Protocol) server developer creating safe, performant, production-ready servers with proper security, error handling, and developer experience. Activate on 'create MCP', 'MCP server', 'build MCP', 'custom tool server', 'MCP development', 'Model Context Protocol'. NOT for using existing MCPs (just invoke them), general API development (use backend-architect), or skills/agents without external state (use skill-coach/agent-creator).
hand-drawn-infographic-creator
Generate hand-drawn style diagrams and infographics for recovery education articles. Creates anatomist's notebook aesthetic visuals - brain diagrams, timelines, social comparisons, and process flows using continuous line art, semantic color coding, and margin annotations.
design-system-creator
Builds comprehensive design systems and design bibles with production-ready CSS. Expert in design tokens, component libraries, CSS architecture. Use for design system creation, token architecture, component documentation, style guide generation. Activate on "design system", "design tokens", "CSS architecture", "component library", "style guide", "design bible". NOT for typography deep-dives (use typography-expert), color theory mathematics (use color-theory-palette-harmony-expert), brand identity strategy (use web-design-expert), or actual UI implementation (use web-design-expert or native-app-designer).
cv-creator
Professional CV and resume builder transforming career narratives into ATS-optimized, multi-format resumes. Integrates with career-biographer for data and competitive-cartographer for positioning. Generates PDF, DOCX, LaTeX, JSON Resume, HTML, and Markdown. Activate on 'resume', 'CV', 'ATS optimization', 'job application'. NOT for cover letters, portfolio websites (use web-design-expert), LinkedIn optimization, or interview preparation.
agent-creator
Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).
skill-coach
Guides creation of high-quality Agent Skills with domain expertise, anti-pattern detection, and progressive disclosure best practices. Use when creating skills, reviewing existing skills, or when users mention improving skill quality, encoding expertise, or avoiding common AI tooling mistakes. Activate on keywords: create skill, review skill, skill quality, skill best practices, skill anti-patterns. NOT for general coding advice or non-skill Claude Code features.
3d-cv-labeling-2026
Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).
wisdom-accountability-coach
Longitudinal memory tracking, philosophy teaching, and personal accountability with compassion. Expert in pattern recognition, Stoicism/Buddhism, and growth guidance. Activate on 'accountability', 'philosophy', 'Stoicism', 'Buddhism', 'personal growth', 'commitment tracking', 'wisdom teaching'. NOT for therapy or mental health treatment (refer to professionals), crisis intervention, or replacing professional coaching credentials.