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.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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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.
allowed-tools
Read,Write,Edit,Grep,Glob
argument-hint
[role-name] [domain] [skills-to-equip]
metadata
{"category":"Productivity & Meta","tags":["skillful","subagent","creator","create-subagent","subagent-with-skills"],"pairs-with":[{"skill":"agent-creator","reason":"Subagent creation applies agent design patterns to specialized DAG workflow nodes"},{"skill":"task-decomposer","reason":"Decomposed tasks define the subagent specializations and skill requirements"},{"skill":"skill-architect","reason":"Subagent skill selection depends on understanding skill architecture and capabilities"}]}
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
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.
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
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
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
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
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
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
{"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
{"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
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
Happy path: Give the subagent a task that matches its skills perfectly
Edge case: Give a task at the boundary of its scope
Out of scope: Give a task outside its domain — it should refuse and say so
Skill coverage: Verify it uses the attached skills, not ad-hoc reasoning
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
name:pr-reviewerrole:"Reviews TypeScript/React pull requests for correctness, style, and security"skills:preloaded:-code-review-skill-react-server-componentscatalog:-typescript-strict-mode-testing-patternstools: [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."
