skill-maker

Create Tessl and Claude skill scaffolds with lint checks and benchmark logging.

4|1|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/kvokov/oh-my-ai --skill skill-maker-kvokov
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-maker
Source: https://github.com/kvokov/oh-my-ai/tree/main/skills/skill-maker
Command: npx skills add https://github.com/kvokov/oh-my-ai --skill skill-maker-kvokov

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Skill-maker centralizes the interview, scaffolding, testing, and optimization work required to ship high-quality Tessl/Claude skills so requesters avoid scattered prompts or manual repo wiring that break consistency.

Core Features & Use Cases

  • Interview-driven requirements: Run the full 10-question AskUserQuestion sequence to capture purpose, audience, triggers, outputs, and tooling before writing a single file.
  • Scaffold to production: Generate SKILL.md, tile.json, companion rules, lint checks, README and CI integrations, and optional eval directories with strict imperative non-negotiables.
  • Eval and benchmark workflow: Trigger tessl CLI pipelines or manual scenarios, normalize scores, log every run, and support optimization through structured failure classification and before/after edits.

Quick Start

Ask skill-maker to interview you about the Tessl skill scope, then scaffold SKILL.md, tile.json, lint checks, and repo wiring before running benchmarks and logging changes.

Frequently Asked Questions about skill-maker

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

FAQPage Schema
How do I scaffold a Tessl skill with repo integration and lint checks?

To scaffold a Tessl skill, skill-maker generates SKILL.md, tile.json, companion rules, lint checks, and repo wiring after running an interview-driven requirements sequence to capture purpose and triggers.

What is the best way to benchmark and evaluate Claude prompt skills?

Benchmarking Claude prompt skills involves triggering tessl CLI pipelines or manual scenarios, normalizing scores, logging every run, and classifying failures to support optimization through structured before and after edits.

How does an interview-driven workflow improve skill development?

An interview-driven workflow improves skill development by running a 10-question sequence to capture audience, outputs, and tooling before writing files, ensuring consistent agent behavior and avoiding scattered prompts.

Can I generate CI integrations and eval directories for Tessl skills?

Yes, you can generate CI integrations and optional eval directories for Tessl skills, as skill-maker creates production scaffolds that include README files, lint checks, and strict imperative non-negotiables for repo wiring.

Why do my Claude skills break consistency across different repo environments?

Claude skills break consistency when manual repo wiring and scattered prompts lack structured non-negotiables, which skill-maker solves by centralizing interview, scaffolding, testing, and optimization into a unified workflow.

Do I need the tessl CLI to run skill evaluation workflows?

You do not strictly need the tessl CLI to run skill evaluation workflows, as skill-maker supports triggering manual scenarios alongside tessl CLI pipelines to normalize scores and log benchmark runs.