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AI EngineeringPython

Agent Creation Workflow

by nWave-ai

Agent Creation Workflow is an AI Engineering skill for Claude Code, published by nWave-ai in nWave.

598 stars61 forkson nWave-ai/nWaveAdded 2026/08/25+1% in starsRepository updated 2026/06/27
agentic-aiagentic-codingagentic-frameworkagentic-workflowaiatddbddclaude-codeclaude-code-cliclaude-code-commandsclaude-code-hooksclaude-code-skillsclaude-code-subagentsdevopslean-uxopencodesoftware-architecturesoftware-craftmanshiptdd
Install in seconds
Install Agent Creation Workflow
Copy Agent Creation Workflow into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-agent-creation-workflow ~/.claude/skills/nw-agent-creation-workflow

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/nWave-ai/nWave.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
nWave/skills/nw-agent-creation-workflow/SKILL.md in nWave-ai/nWave
Installs to
~/.claude/skills/nw-agent-creation-workflow
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering โ€” 2451 skills

What Agent Creation Workflow does

Agent Creation Workflow guides agent design from requirements analysis through validation and refinement. Use it when creating a new agent or modifying an existing one with clear responsibilities, tools, and quality gates.

Agent Creation Workflow is cataloged under AI Engineering on DirSkills. Agent Creation Workflow comes from a repository tagged agentic-ai, agentic-coding, agentic-framework, agentic-workflow and ai.

Documentation

README

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.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Agent Creation Workflow

  • What else does nWave-ai publish alongside Agent Creation Workflow?

    Agent Creation Workflow is one of 25 skills that DirSkills catalogs from nWave-ai/nWave, the repository it ships in. Its siblings there include AT Completeness Check, Acceptance Test Critique Dimensions and Agent Quality Critique Dimensions. Each one is a separate skill with its own page in this directory, installs the same way Agent Creation Workflow does, and is maintained by nWave-ai in that same repository. The rest of the collection is listed on the nWave-ai/nWave page.

  • How does Agent Creation Workflow compare to other AI Engineering skills?

    Agent Creation Workflow ranks #1931 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agent Creation Workflow against them. Open each page to compare what they document and how they install.

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