Agent Creation

by Prism-Shadow

Agent Creation is an AI Engineering skill for Claude Code, published by Prism-Shadow in penguin-harness.

1.5K stars149 forkson Prism-Shadow/penguin-harnessAdded 2026/08/19+21% in starsRepository updated 2026/08/19

View source on GitHub Download repo ZIP

agentagentic-aiaibuild-toolclaude-codedeepseekdeepseek-harnessdesktopharnessllmrsiself-evolving

Install in seconds

Install Agent Creation

Copy Agent Creation 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/Prism-Shadow/penguin-harness/tree/main/packages/skills/skills/agent-creation ~/.claude/skills/agent-creation

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

Without Node.js

git clone https://github.com/Prism-Shadow/penguin-harness.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: packages/skills/skills/agent-creation/SKILL.md in Prism-Shadow/penguin-harness
Installs to: ~/.claude/skills/agent-creation
Collection: One of 21 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Agent Creation does

Agent Creation turns a user requirement into a working agent configuration by writing AGENTS.md, setting identity metadata, and installing only needed skills. Use it to create or configure an Agent State under the agents directory.

Agent Creation is cataloged under AI Engineering on DirSkills. Agent Creation comes from a repository tagged agent, agentic-ai, ai, build-tool and claude-code.

Documentation

README

Excerpt

Agent Creation

This skill turns a user requirement into a working agent configuration — plain files in the target agent's directory.

Before you start

If the user's message only invokes this skill (e.g. "use agent-creation skill") without a concrete requirement, ask the user what agent they want and what it should do. But when the requirement is already concrete — even a single sentence like "an expert that answers questions about X" — do not ask follow-up questions: derive the role and rules from that sentence, apply the defaults below, and list your assumptions in the final reply.

Resolve the inherited runtime

Treat the current Agent as the Builder. Resolve the runtime before creating a new Agent:

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

Frequently asked about Agent Creation

What else does Prism-Shadow publish alongside Agent Creation?
Agent Creation is one of 21 skills that DirSkills catalogs from Prism-Shadow/penguin-harness, the repository it ships in. Its siblings there include Agent Evaluation, Agent Optimization and AgentHub Models. Each one is a separate skill with its own page in this directory, installs the same way Agent Creation does, and is maintained by Prism-Shadow in that same repository. The rest of the collection is listed on the Prism-Shadow/penguin-harness page.
How does Agent Creation compare to other AI Engineering skills?
Agent Creation ranks #997 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 against them. Open each page to compare what they document and how they install.