001-skill-creator

Scaffold, validate, and improve SKILL.md packages for Agent Skill activation.

Updated May 21, 2026
One-click install
npx skills add https://github.com/ulf1/trading-regime --skill 001-skill-creator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 001-skill-creator
Source: https://github.com/ulf1/trading-regime/tree/main/.agent/skills/001-skill-creator
Command: npx skills add https://github.com/ulf1/trading-regime --skill 001-skill-creator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Create, scaffold, validate, and iteratively improve Agent Skills (SKILL.md packages) so they trigger correctly and meet the agentskills.io structure requirements.

Core Features & Use Cases

  • Scaffold new skills: Generate a valid skill directory with a correctly structured SKILL.md, and optionally add scripts, references, and eval stubs.
  • Validate existing skills: Check SKILL.md frontmatter correctness, description constraints, body presence, and broken referenced paths.
  • Run trigger-rate evaluations: Measure how reliably a skill description activates across should-trigger and should-not-trigger prompts, then refine the description.

Quick Start

Run scaffold for a new skill by executing scripts/scaffold.py skill-name --desc "Use this skill when..." --dest .agent/skills --full.

Frequently Asked Questions about 001-skill-creator

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

FAQPage Schema
How do I create a valid SKILL.md file with correct YAML frontmatter for agent skills?

To create a valid SKILL.md file, you scaffold a new skill directory ensuring the YAML frontmatter includes required name and description fields, body presence constraints are met, and referenced paths are not broken.

What is the best way to validate an existing agent skill directory for formatting issues?

Validating an existing agent skill directory involves checking SKILL.md frontmatter correctness, evaluating description constraints, verifying body presence, and auditing referenced paths to ensure reliable Agent Skill activation.

Why does my agent skill fail to trigger reliably across different prompts?

Agent skills fail to trigger reliably when the SKILL.md description lacks proper trigger-rate evaluation, which requires measuring activation across should-trigger and should-not-trigger prompts and iteratively refining the description.

How do I scaffold a new agent skill package with scripts and evaluation stubs?

Scaffolding a new agent skill package uses scripts to generate a structured directory with a valid SKILL.md, optionally adding scripts, references, and eval stubs to satisfy agentskills.io structure requirements.

Can I evaluate trigger detection for a skill description without breaking existing references?

Yes, you can run a description-trigger detection workflow to evaluate trigger rates while simultaneously validating that broken referenced paths within the skill directory are identified and fixed.

What are the limitations of using scaffolding scripts for agent skill creation?

Scaffolding scripts focus on generating the required SKILL.md structure and YAML frontmatter, but they require manual iteration via trigger-rate evaluations to ensure the description activates reliably across diverse prompts.