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

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

DAG Node Definition

Each node in a DAG is a subagent with:

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

• 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-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."