skill-creator

Create, modify, and validate Pi Agent Skills with metadata and triggers.

13|5|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/Jonghakseo/my-pi --skill skill-creator-jonghakseo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/Jonghakseo/my-pi/tree/main/skills/skill-creator
Command: npx skills add https://github.com/Jonghakseo/my-pi --skill skill-creator-jonghakseo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps developers create, modify, validate, and improve Pi Agent Skills without missing required metadata, triggering rules, safety checks, or evaluation steps.

Core Features & Use Cases

  • Skill Design: Define clear names, descriptions, triggers, workflows, outputs, and progressive-disclosure structures for new skills.
  • Pi-Compatible Guidance: Adapt Agent Skills conventions to Pi-specific loading locations, invocation behavior, tools, and configuration.
  • Validation and Evaluation: Check SKILL.md frontmatter, naming rules, resource references, portability, safety, and realistic test prompts.
  • Use Case: When building a new repository skill for automated code-quality analysis, use this Skill to design its instructions, create evaluation cases, and validate that Pi can load it correctly.

Quick Start

Use the skill-creator skill to design and validate a new Pi skill for the workflow you want to automate.

Frequently Asked Questions about skill-creator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create and validate Pi Agent Skills with correct metadata?

Progressive disclosure structures organize Pi Agent Skills by layering operational instructions and supporting resources, allowing the agent to load and invoke complex workflows efficiently without missing required triggering rules.

What is the best way to design realistic evaluations for agent skill workflows?

Designing realistic evaluations for agent skill workflows involves creating test prompts that validate trigger quality, safety review processes, and portability, ensuring the skill behaves reliably under automated code-quality analysis conditions.

Can I use this skill to improve existing agent skill behavior and Pi compatibility?

Yes, you can modify and improve existing agent skill behavior by applying Pi-compatible guidance, adapting invocation behavior, iteratively improving trigger-quality, and validating that Pi can load the updated skill correctly.

What limitations should I check when validating agent skills for portability and safety?

When validating agent skills for portability and safety, check SKILL.md frontmatter constraints, verify resource organization, ensure naming rules compliance, and review operational instructions to prevent missing required safety checks.