skill-creator

Draft, refine, and evaluate Claude Skills with SKILL.md and evals.

523|125|Updated Nov 11, 2025
One-click install
npx skills add https://github.com/anymouschina/TapCanvas --skill skill-creator-anymouschina
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/anymouschina/TapCanvas/tree/main/apps/agents-cli/skills/skill-creator
Command: npx skills add https://github.com/anymouschina/TapCanvas --skill skill-creator-anymouschina

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Designing reliable Claude skills is often time-consuming and error-prone. This Skill empowers you to draft, refine, and validate skills end-to-end—from SKILL.md frontmatter to the operative guidance inside—while providing structured evaluation, benchmarking, and trigger-optimization loops to ensure consistency and safety across prompts.

Core Features & Use Cases

  • End-to-end skill authoring: define identity, success criteria, workflow, decision rules, boundaries, and a review loop to produce robust SKILL.md content.
  • Evaluation & benchmarking: run deterministic evals, measure trigger accuracy, and compare against baselines or prior iterations with structured metrics.
  • Iterative optimization: automatically propose improvements to skill descriptions, with history tracking and revision guidance.
  • Scripted tooling & references: bundle deterministic tasks (validation, packaging, and reproducible tests) in scripts/, and place long-form knowledge in references/ with templates in assets/.
  • Safe, reusable packaging: verify structure before distribution and prepare portable skill packages for deployment.

Quick Start

Draft a new skill for your use case and run the built-in evaluation loop to iteratively improve its triggering accuracy.

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 refine Claude skills with reliable trigger descriptions?

To create Claude skills, you draft SKILL.md files with strong frontmatter, articulate role and workflow, then run an evaluation and benchmarking loop to optimize trigger descriptions for reliability and safety.

What is the best way to benchmark and evaluate AI prompt engineering workflows?

Benchmarking AI prompt engineering workflows involves running deterministic evaluations, measuring trigger accuracy, and comparing structured metrics against baselines or prior iterations to ensure consistency and safety.

How do I structure an AI skill package for safe and reusable distribution?

Structure AI skill packages by placing deterministic validation tasks in scripts/, long-form knowledge in references/, and templates in assets/, verifying the structure before distribution to ensure portable deployment.

Does skill authoring support iterative optimization for trigger accuracy?

Skill authoring supports iterative optimization by automatically proposing improvements to skill descriptions, measuring trigger accuracy through structured evals, and tracking revision history to guide reliable updates.

What components do I need to define when building end-to-end AI skills?

Building end-to-end AI skills requires you to define identity, success criteria, workflow, decision rules, and boundaries within a SKILL.md file, utilizing a review loop to produce robust operative guidance.