/nw-agent-creation-workflow
Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement
$ npx -y skills add nWave-ai/nWave --skill nw-agent-creation-workflow --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/nw-agent-creation-workflow
Context preview
The summary Claude sees to decide when to auto-load this skill.
Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement
SKILL.md
nw-agent-creation-workflow.SKILL.mdname: nw-agent-creation-workflow
description: Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement
user-invocable: false
disable-model-invocation: true
Agent Creation Workflow
Overview
Create agents through 5 phases: ANALYZE -> DESIGN -> CREATE -> VALIDATE -> REFINE. Each phase has clear inputs, outputs, and quality gates. Follow "start minimal, add based on failure."
Phase 1: ANALYZE
**Goal**: Understand requirements and determine agent architecture.
**Inputs**: User requirements, use case description, existing codebase context.
**Steps**: 1. Identify single clear responsibility 2. Determine new agent or modification of existing 3. Check overlap with existing agents (avoid duplication) 4. Classify agent type:
- **Specialist**: Single-domain expert (most common)
- **Reviewer**: Validates outputs from another agent (Reflection pattern)
- **Orchestrator**: Coordinates multiple agents
5. Identify required tools (start with Read, Glob, Grep -- add only what's needed) 6. Determine if Skills needed (domain knowledge > 50 lines)
**Gate**: Single responsibility identified. Agent type classified. No overlap.
**Output**: Requirements summary with agent type, tools list, skill needs.
Phase 2: DESIGN
**Goal**: Design agent architecture and structure.
**Inputs**: Requirements summary from Phase 1.
**Steps**: 1. Select design pattern (load `design-patterns` skill) 2. Define role and goal (1-2 sentences each) 3. Identify core principles that DIVERGE from Claude defaults:
- What must this agent do differently than Claude naturally would?
- Domain-specific methodology steps
- Non-obvious constraints | Project-specific conventions
4. Design workflow (3-7 phases) 5. Plan Skills extraction: domain knowledge -> separate Skill | Testing/validation -> separate Skill | Keep workflow and principles in core agent 6. Design Skill Loading Strategy (required for 3+ skills):
- Map each skill to the workflow phase where it's needed
- Create a loading table: Phase → Skill → Trigger condition
- Add explicit `Load: skill-name` directives in each workflow phase
- Document path: `~/.claude/skills/nw-{skill-name}/SKILL.md` (installed) or `nWave/skills/nw-{skill-name}/SKILL.md` (repo)
- Note: `skills:` in frontmatter is declarative only — Claude Code does NOT auto-load skill files. The agent must use Read tool to load them, triggered by `Load:` directives in workflow text.
7. Draft frontmatter:
---
name: {kebab-case-id}
description: Use for {domain}. {When to delegate.}
model: inherit
tools: [{minimum tools needed}]
maxTurns: 30
skills:
- nw-{skill-name}
---**Gate**: Design fits ~200-300 lines (core) + Skills. Pattern selected. Frontmatter drafted.
**Output**: Agent architecture document (working notes, not deliverable).
Phase 3: CREATE
**Goal**: Write agent definition file and Skills.
**Inputs**: Design from Phase 2.
**Steps**: 1. Create agent `.md` file:
- YAML frontmatter (name, description, tools, model, maxTurns, skills)
- Role + Goal paragraph
- Core Principles (divergences only, 3-8 items)
- Workflow phases
- Critical Rules (3-5, where violation causes real harm)
- Examples (3-5 canonical cases)
- Subagent mode instructions
- Constraints (what agent does NOT do)
2. Create Skill files if needed: each in `nWave/skills/{agent-name}/` | YAML frontmatter with `name` and `description` | Focused content, 100-250 lines each 3. Measure: `wc -l`. Target: under 300 lines.
4. Add Skill Loading Strategy section (required for agents with 3+ skills):
## Skill Loading Strategy
Load on-demand by phase, not all at once:
| Phase | Load | Trigger |
|-------|------|---------|
| 1 Phase Name | `skill-name` | Always — core methodology |
| 2 Phase Name | `other-skill` | When condition is met |
Skills path: `~/.claude/skills/nw-{skill-name}/SKILL.md` (installed) or `nWave/skills/nw-{skill-name}/SKILL.md` (repo)5. Add `Load:` directives at the start of each workflow phase referencing the applicable skills 6. Verify: every skill in frontmatter `skills:` has at least one `Load:` directive in the workflow text. Orphan skills (declared but never loaded) are a bug.
**Gate**: Agent file created. Under 300 lines. Skills created if needed. Skill Loading Strategy present for 3+ skills.
**Output**: Agent `.md` file + Skill files.
Phase 4: VALIDATE
**Goal**: Verify agent meets quality standards.
**Steps**: 1. Run 14-point validation checklist:
- [ ] Uses official YAML frontmatter format
- [ ] Total definition under 400 lines (domain knowledge in Skills)
- [ ] Only specifies behaviors diverging from Claude defaults
- [ ] No aggressive signaling language
- [ ] 3-5 canonical examples for critical behaviors
- [ ] Tools restricted to minimum needed
- [ ] maxTurns set in frontmatter
- [ ] Safety via platform features, not prose
- [ ] Instructions phrased affirmatively
- [ ] Consistent terminology throughout
- [ ] Description clearly states delegation criteria
2. Check anti-patterns: no monolithic sections (>50 lines without structure) | No duplicated Claude defaults | No embedded safety frameworks | No aggressive language 3. Test with representative inputs (Layer 1 testing)
**Gate**: All 14 items pass. No anti-patterns.
**Output**: Validation report (pass/fail per item).
Phase 5: REFINE
**Goal**: Iteratively improve based on testing feedback.
**Steps**: 1. Address validation failures 2. Test with edge cases 3. Add instructions ONLY for observed failure modes: wrong decision -> add rule/example | Missed step -> clarify workflow | Over-generated -> add constraint 4. Re-measure: `wc -l`. If approaching 400 lines, extract to Skills. 5. Re-validate with 14-point checklist.
**Gate**: All validation passes. Line count within target. Edge cases handled.
**Output*
Read more
name: nw-agent-creation-workflow description: Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement user-invocable: false disable-model-invocation: true
Agent Creation Workflow
Overview
Create agents through 5 phases: ANALYZE -> DESIGN -> CREATE -> VALIDATE -> REFINE. Each phase has clear inputs, outputs, and quality gates. Follow "start minimal, add based on failure."
Phase 1: ANALYZE
**Goal**: Understand requirements and determine agent architecture.
**Inputs**: User requirements, use case description, existing codebase context.
**Steps**: 1. Identify single clear responsibility 2. Determine new agent or modification of existing 3. Check overlap with existing agents (avoid duplication) 4. Classify agent type:
- **Specialist**: Single-domain expert (most common)
- **Reviewer**: Validates outputs from another agent (Reflection pattern)
- **Orchestrator**: Coordinates multiple agents
5. Identify required tools (start with Read, Glob, Grep -- add only what's needed) 6. Determine if Skills needed (domain knowledge > 50 lines)
**Gate**: Single responsibility identified. Agent type classified. No overlap.
**Output**: Requirements summary with agent type, tools list, skill needs.
Phase 2: DESIGN
**Goal**: Design agent architecture and structure.
**Inputs**: Requirements summary from Phase 1.
**Steps**: 1. Select design pattern (load `design-patterns` skill) 2. Define role and goal (1-2 sentences each) 3. Identify core principles that DIVERGE from Claude defaults:
- What must this agent do differently than Claude naturally would?
- Domain-specific methodology steps
- Non-obvious constraints | Project-specific conventions
4. Design workflow (3-7 phases) 5. Plan Skills extraction: domain knowledge -> separate Skill | Testing/validation -> separate Skill | Keep workflow and principles in core agent 6. Design Skill Loading Strategy (required for 3+ skills):
- Map each skill to the workflow phase where it's needed
- Create a loading table: Phase → Skill → Trigger condition
- Add explicit `Load: skill-name` directives in each workflow phase
- Document path: `~/.claude/skills/nw-{skill-name}/SKILL.md` (installed) or `nWave/skills/nw-{skill-name}/SKILL.md` (repo)
- Note: `skills:` in frontmatter is declarative only — Claude Code does NOT auto-load skill files. The agent must use Read tool to load them, triggered by `Load:` directives in workflow text.
7. Draft frontmatter:
---
name: {kebab-case-id}
description: Use for {domain}. {When to delegate.}
model: inherit
tools: [{minimum tools needed}]
maxTurns: 30
skills:
- nw-{skill-name}
---**Gate**: Design fits ~200-300 lines (core) + Skills. Pattern selected. Frontmatter drafted.
**Output**: Agent architecture document (working notes, not deliverable).
Phase 3: CREATE
**Goal**: Write agent definition file and Skills.
**Inputs**: Design from Phase 2.
**Steps**: 1. Create agent `.md` file:
- YAML frontmatter (name, description, tools, model, maxTurns, skills)
- Role + Goal paragraph
- Core Principles (divergences only, 3-8 items)
- Workflow phases
- Critical Rules (3-5, where violation causes real harm)
- Examples (3-5 canonical cases)
- Subagent mode instructions
- Constraints (what agent does NOT do)
2. Create Skill files if needed: each in `nWave/skills/{agent-name}/` | YAML frontmatter with `name` and `description` | Focused content, 100-250 lines each 3. Measure: `wc -l`. Target: under 300 lines.
4. Add Skill Loading Strategy section (required for agents with 3+ skills):
## Skill Loading Strategy
Load on-demand by phase, not all at once:
| Phase | Load | Trigger |
|-------|------|---------|
| 1 Phase Name | `skill-name` | Always — core methodology |
| 2 Phase Name | `other-skill` | When condition is met |
Skills path: `~/.claude/skills/nw-{skill-name}/SKILL.md` (installed) or `nWave/skills/nw-{skill-name}/SKILL.md` (repo)5. Add `Load:` directives at the start of each workflow phase referencing the applicable skills 6. Verify: every skill in frontmatter `skills:` has at least one `Load:` directive in the workflow text. Orphan skills (declared but never loaded) are a bug.
**Gate**: Agent file created. Under 300 lines. Skills created if needed. Skill Loading Strategy present for 3+ skills.
**Output**: Agent `.md` file + Skill files.
Phase 4: VALIDATE
**Goal**: Verify agent meets quality standards.
**Steps**: 1. Run 14-point validation checklist:
- [ ] Uses official YAML frontmatter format
- [ ] Total definition under 400 lines (domain knowledge in Skills)
- [ ] Only specifies behaviors diverging from Claude defaults
- [ ] No aggressive signaling language
- [ ] 3-5 canonical examples for critical behaviors
- [ ] Tools restricted to minimum needed
- [ ] maxTurns set in frontmatter
- [ ] Safety via platform features, not prose
- [ ] Instructions phrased affirmatively
- [ ] Consistent terminology throughout
- [ ] Description clearly states delegation criteria
2. Check anti-patterns: no monolithic sections (>50 lines without structure) | No duplicated Claude defaults | No embedded safety frameworks | No aggressive language 3. Test with representative inputs (Layer 1 testing)
**Gate**: All 14 items pass. No anti-patterns.
**Output**: Validation report (pass/fail per item).
Phase 5: REFINE
**Goal**: Iteratively improve based on testing feedback.
**Steps**: 1. Address validation failures 2. Test with edge cases 3. Add instructions ONLY for observed failure modes: wrong decision -> add rule/example | Missed step -> clarify workflow | Over-generated -> add constraint 4. Re-measure: `wc -l`. If approaching 400 lines, extract to Skills. 5. Re-validate with 14-point checklist.
**Gate**: All validation passes. Line count within target. Edge cases handled.
**Output*
AI agents that guide you from idea to working code, with human judgment at every gate. nWave runs inside Claude Code. It breaks feature delivery into seven waves (discover, diverge, discuss, design, devops, distill, deliver).
Repo: nWave-ai/nWave
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Open skill - /nw-agent-testing
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Open skill - /nw-architecture-patterns
Comprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns.
Open skill

