skill-creator

Iteratively refine SKILL.md descriptions through automated trigger evaluations and benchmark outputs.

1|Updated May 13, 2026
One-click install
npx skills add https://github.com/wtgoku-create/PopiStudio --skill skill-creator-wtgoku-create
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/wtgoku-create/PopiStudio/tree/main/SKILLs/skill-creator
Command: npx skills add https://github.com/wtgoku-create/PopiStudio --skill skill-creator-wtgoku-create

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill helps you create new Claude-compatible skills and improve existing ones by running structured trigger evaluations, collecting quantitative results, and iterating on the skill’s description until it triggers accurately.

Core Features & Use Cases

  • Skill creation guidance: Turns a user’s desired workflow into a draft skill, including trigger context, expected outputs, and test prompts.
  • Evaluation + iteration loop: Generates an eval set, runs trigger tests, benchmarks performance, and iterates on the description using held-out test queries to reduce overfitting.
  • Performance analysis tooling: Aggregates grading results and can generate a review viewer so humans can inspect outputs alongside benchmark metrics.
  • Description optimization: Improves the YAML frontmatter description to increase correct skill triggering.
  • Use cases: Create a skill from scratch, modify an underperforming skill, validate that it triggers on the right user intents, and benchmark variance/consistency.

Quick Start

Use the skill creator to improve an existing skill by pasting the skill’s SKILL.md content and telling it what kinds of user prompts should trigger the skill.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I optimize Claude skill descriptions to trigger accurately for target user intents?

Optimize Claude skill descriptions by iteratively refining the SKILL.md YAML frontmatter, running automated trigger detection evals, and benchmarking performance against held-out test queries to reduce false triggers and improve accuracy.

How do I create and benchmark a new Claude skill from scratch?

Create and benchmark a new Claude skill by drafting the desired workflow into trigger context and expected outputs, generating a test set, running automated eval loops, and producing structured benchmark outputs for human review.

Why does my Claude skill false-trigger on unrelated user prompts?

Claude skills false-trigger when descriptions lack specificity or overfit to test queries; post-hoc analysis of failed prompts and iterative description tuning using held-out test sets corrects the trigger evaluation mismatch.

Does the skill creator require automated eval loops to validate trigger performance?

The skill creator requires running automated eval loops via claude -p streaming trigger detection to validate trigger performance, generating quantitative benchmark results suitable for subsequent description updates.

Can I use the skill creator to analyze and fix underperforming existing skills?

You can analyze and fix underperforming existing skills by pasting the SKILL.md content, specifying the target user prompts, and aggregating grading results to inspect outputs alongside benchmark metrics in a review viewer.