/devkit-create-agent
Create a new agent with AI-guided expertise definition following the Agent Design Bible
Claude Code
$ npx -y skills add jmagly/aiwg --skill devkit-create-agent --agent claude-code
Codex
$ npx skills add jmagly/aiwg --skill devkit-create-agent -a codex -y
Cursor
$ npx skills add jmagly/aiwg --skill devkit-create-agent -a cursor -y
Gemini CLI
$ npx skills add jmagly/aiwg --skill devkit-create-agent -a gemini-cli -y
GitHub Copilot
$ npx skills add jmagly/aiwg --skill devkit-create-agent -a github-copilot -y
OpenCode
$ npx skills add jmagly/aiwg --skill devkit-create-agent -a opencode -y
Windsurf
$ npx skills add jmagly/aiwg --skill devkit-create-agent -a windsurf -y
SKILL.md
devkit-create-agent.SKILL.mdnamespace: aiwg
name: devkit-create-agent
platforms: [all]
description: Create a new agent with AI-guided expertise definition following the Agent Design Bible
Create AIWG Agent
Create a new agent with AI assistance to define expertise, workflow, and capabilities.
**Follows**: [Agent Design Bible]($AIWG_ROOT/docs/frameworks/sdlc-complete/agent-design.md) - 10 Golden Rules for production-grade agents.
**Research Foundation**: REF-001 (Bandara et al.), REF-002 (Roig 2025) failure archetype prevention.
Usage
/devkit-create-agent <name> --to <target> [options]
Arguments
| Argument | Required | Description | |----------|----------|-------------| | name | Yes | Agent name (kebab-case recommended) |
Required Options
| Option | Description | |--------|-------------| | --to | Target addon or framework |
Optional Options
| Option | Description | |--------|-------------| | --template | Agent template: simple (default), complex, orchestrator | | --interactive | Enable interactive mode with guided questions |
Templates
Templates are in `~/.local/share/ai-writing-guide/templates/agent-scaffolding/`.
simple (default)
Single-purpose, focused agent with minimal structure (Rule 1: Single Responsibility).
- Best for: Utility agents, single-task specialists
- Model: haiku (efficiency tier)
- Tools: Read, Write (Rule 2: Minimal Tools)
complex
Full reasoning agent with all safeguards including failure archetype prevention.
- Best for: Subject matter experts, reviewers, analysts
- Model: sonnet/opus (based on complexity)
- Tools: Read, Write, Grep (Rule 2: 0-3 tools)
- Includes: Grounding, uncertainty handling, recovery protocol
orchestrator
Multi-agent coordination with workflow patterns and agent assignment tables.
- Best for: Workflow coordinators, phase managers
- Model: opus (Rule 8: reasoning tier for coordination)
- Tools: Task only (Rule 2: single tool for delegation)
validator
Read-only validation agent that doesn't modify state.
- Best for: Quality gates, compliance checks, code review
- Model: haiku/sonnet
- Tools: Read, Grep (read-only)
Interactive Mode
When `--interactive` is specified, I will ask:
1. **Role**: What is this agent's primary role? 2. **Expertise**: What domains does it specialize in? 3. **Responsibilities**: What are its key responsibilities? 4. **Tools**: What tools does it need access to? 5. **Workflow**: How should it approach tasks? 6. **Output**: What format should its output take?
Examples
# Simple agent
/devkit-create-agent code-reviewer --to aiwg-utils
# Complex domain expert
/devkit-create-agent security-auditor --to sdlc-complete --template complex
# Orchestrator agent
/devkit-create-agent deployment-coordinator --to sdlc-complete --template orchestrator --interactive
Execution
1. **Validate inputs**: Check name and target 2. **Verify target exists**: Ensure addon/framework is installed 3. **Select template**: Use specified or default to simple 4. **Gather expertise**: In interactive mode, ask about domain knowledge 5. **Generate agent file**: Create with frontmatter and sections 6. **Update manifest**: Add agent to manifest.json 7. **Report success**: Show location and customization tips
Output Location
<target>/agents/<name>.md
Agent File Structure
---
name: agent-name
description: Agent description
model: claude-sonnet-5
tools: Read, Write, MultiEdit, Bash, WebFetch
---
# Agent Title
[Description]
## Expertise
[Domain knowledge]
## Responsibilities
[What the agent does]
## Workflow
[How it approaches tasks]
## Output Format
[Expected output structure]
CLI Equivalent
aiwg add-agent <name> --to <target> --template <type>
10 Golden Rules Validation
After creation, validate against the Agent Design Bible:
aiwg lint agents <target>/agents/<name>.md --verbose
| Rule | Check | |------|-------| | 1. Single Responsibility | One clear purpose, no "and" overload | | 2. Minimal Tools | 0-3 tools, justified | | 3. Explicit I/O | Inputs and outputs defined | | 4. Grounding | Verify before acting (Archetype 1) | | 5. Uncertainty | Escalate ambiguity (Archetype 2) | | 6. Context Scope | Filter distractors (Archetype 3) | | 7. Recovery | Handle errors (Archetype 4) | | 8. Model Tier | Match task complexity | | 9. Parallel Ready | Concurrent execution safe | | 10. Observable | Traceable output |
Related Commands
- `/devkit-create-command` - Create a slash command
- `/devkit-create-skill` - Create an auto-triggered skill
- `/devkit-validate` - Validate agent structure
- `aiwg lint agents` - Validate against 10 Golden Rules
References
- @$AIWG_ROOT/agentic/code/addons/aiwg-dev/README.md — aiwg-dev addon overview
- @$AIWG_ROOT/docs/extensions/extension-types.md — Extension types including agent type
- @$AIWG_ROOT/docs/cli-reference.md — CLI reference including add-agent command
- @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/god-session.md — Single-responsibility rules for agents
- @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/agent-deployment.md — Agent metadata structure and multi-provider deployment
Read more
namespace: aiwg name: devkit-create-agent platforms: [all] description: Create a new agent with AI-guided expertise definition following the Agent Design Bible
Create AIWG Agent
Create a new agent with AI assistance to define expertise, workflow, and capabilities.
**Follows**: [Agent Design Bible]($AIWG_ROOT/docs/frameworks/sdlc-complete/agent-design.md) - 10 Golden Rules for production-grade agents.
**Research Foundation**: REF-001 (Bandara et al.), REF-002 (Roig 2025) failure archetype prevention.
Usage
/devkit-create-agent <name> --to <target> [options]
Arguments
| Argument | Required | Description | |----------|----------|-------------| | name | Yes | Agent name (kebab-case recommended) |
Required Options
| Option | Description | |--------|-------------| | --to | Target addon or framework |
Optional Options
| Option | Description | |--------|-------------| | --template | Agent template: simple (default), complex, orchestrator | | --interactive | Enable interactive mode with guided questions |
Templates
Templates are in `~/.local/share/ai-writing-guide/templates/agent-scaffolding/`.
simple (default)
Single-purpose, focused agent with minimal structure (Rule 1: Single Responsibility).
- Best for: Utility agents, single-task specialists
- Model: haiku (efficiency tier)
- Tools: Read, Write (Rule 2: Minimal Tools)
complex
Full reasoning agent with all safeguards including failure archetype prevention.
- Best for: Subject matter experts, reviewers, analysts
- Model: sonnet/opus (based on complexity)
- Tools: Read, Write, Grep (Rule 2: 0-3 tools)
- Includes: Grounding, uncertainty handling, recovery protocol
orchestrator
Multi-agent coordination with workflow patterns and agent assignment tables.
- Best for: Workflow coordinators, phase managers
- Model: opus (Rule 8: reasoning tier for coordination)
- Tools: Task only (Rule 2: single tool for delegation)
validator
Read-only validation agent that doesn't modify state.
- Best for: Quality gates, compliance checks, code review
- Model: haiku/sonnet
- Tools: Read, Grep (read-only)
Interactive Mode
When `--interactive` is specified, I will ask:
1. **Role**: What is this agent's primary role? 2. **Expertise**: What domains does it specialize in? 3. **Responsibilities**: What are its key responsibilities? 4. **Tools**: What tools does it need access to? 5. **Workflow**: How should it approach tasks? 6. **Output**: What format should its output take?
Examples
# Simple agent /devkit-create-agent code-reviewer --to aiwg-utils # Complex domain expert /devkit-create-agent security-auditor --to sdlc-complete --template complex # Orchestrator agent /devkit-create-agent deployment-coordinator --to sdlc-complete --template orchestrator --interactive
Execution
1. **Validate inputs**: Check name and target 2. **Verify target exists**: Ensure addon/framework is installed 3. **Select template**: Use specified or default to simple 4. **Gather expertise**: In interactive mode, ask about domain knowledge 5. **Generate agent file**: Create with frontmatter and sections 6. **Update manifest**: Add agent to manifest.json 7. **Report success**: Show location and customization tips
Output Location
<target>/agents/<name>.md
Agent File Structure
--- name: agent-name description: Agent description model: claude-sonnet-5 tools: Read, Write, MultiEdit, Bash, WebFetch --- # Agent Title [Description] ## Expertise [Domain knowledge] ## Responsibilities [What the agent does] ## Workflow [How it approaches tasks] ## Output Format [Expected output structure]
CLI Equivalent
aiwg add-agent <name> --to <target> --template <type>
10 Golden Rules Validation
After creation, validate against the Agent Design Bible:
aiwg lint agents <target>/agents/<name>.md --verbose
| Rule | Check | |------|-------| | 1. Single Responsibility | One clear purpose, no "and" overload | | 2. Minimal Tools | 0-3 tools, justified | | 3. Explicit I/O | Inputs and outputs defined | | 4. Grounding | Verify before acting (Archetype 1) | | 5. Uncertainty | Escalate ambiguity (Archetype 2) | | 6. Context Scope | Filter distractors (Archetype 3) | | 7. Recovery | Handle errors (Archetype 4) | | 8. Model Tier | Match task complexity | | 9. Parallel Ready | Concurrent execution safe | | 10. Observable | Traceable output |
Related Commands
- `/devkit-create-command` - Create a slash command
- `/devkit-create-skill` - Create an auto-triggered skill
- `/devkit-validate` - Validate agent structure
- `aiwg lint agents` - Validate against 10 Golden Rules
References
- @$AIWG_ROOT/agentic/code/addons/aiwg-dev/README.md — aiwg-dev addon overview
- @$AIWG_ROOT/docs/extensions/extension-types.md — Extension types including agent type
- @$AIWG_ROOT/docs/cli-reference.md — CLI reference including add-agent command
- @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/god-session.md — Single-responsibility rules for agents
- @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/agent-deployment.md — Agent metadata structure and multi-provider deployment
Reusable project context and specialist workflows for the AI tools you already use. Plan software, coordinate specialist reviews, prepare campaigns, investigate incidents, organize research, curate media, and maintain operational knowledge.
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Questions about devkit-create-agent.
- Which coding agents can use devkit-create-agent?
- devkit-create-agent installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

