At a glance

What is JQ AI Skills?

The JQ AI Skills library is a public MIT-licensed skills library that packages repeatable AI workflows into installable skill folders. It includes skills for safe GitHub publishing, skill review, authorized web scraping, copy cleanup, code deduplication, and animated demo generation.

The Problem

What was broken.

Many AI workflows start life as a prompt, a note, or a one-off instruction pasted into a chat. That is useful for experimentation, but fragile in production. The workflow gets lost, the safety checks are inconsistent, and nobody can easily review, install, or reuse the method later.

The problem JQ AI Skills solves is packaging. A repeatable workflow should have a home: a named folder, clear instructions, any supporting assets or scripts, examples, review expectations, and versioned release notes. Without that structure, the same workflow keeps being reinvented from memory.

The Approach

What was built.

JQ AI Skills turns those workflows into installable skill folders. Each skill is organized so Codex, Claude Code, or a similar agentic coding environment can understand when to use it, what steps to follow, what guardrails matter, and what output the user should expect.

The library covers practical studio workflows: safe GitHub publishing, skill review, authorized web scraping, copy cleanup, code deduplication, and animated demo generation. The v0.2.4 release is the current public reference point for the packaged library.

This is the technical credibility layer behind JQ AI SYSTEMS: it shows how repeatable AI workflows can be packaged, reviewed, documented, installed, and reused instead of living as one-off prompts.

How It Works

Architecture in plain English.

01

Package the workflow

A repeatable AI task becomes a named skill folder with a SKILL.md contract, clear trigger rules, workflow steps, and expected outputs.

02

Attach supporting assets

When a skill needs examples, scripts, templates, or visual references, those files live beside the instructions instead of being scattered through a chat history.

03

Add review discipline

Safety-sensitive skills describe permissions, allowed scope, verification steps, and human approval points so the workflow can be reused without losing judgement.

04

Publish with releases

The public GitHub repository gives the library version history, MIT licensing, release notes, and a stable place for installation instructions.

05

Reuse across projects

Once installed, the same skill can be called again in future workspaces, giving the agent a reliable operating routine instead of a fresh prompt every time.

Try It

See it in action.

Public release

The library is public on GitHub under the MIT license. Release copy should reference v0.2.4 as the current public release.

View GitHub repo See latest release Install a skill

Library assets

These public repository assets show the library as a structured system rather than a loose prompt collection: overview, folder structure, and packaging workflow.

JQ AI Skills library overview screenshot — **Skill library overview** A public view of the reusable workflow library and the kinds of agent routines it packages.

JQ AI Skills folder structure screenshot — **Skill folder structure** The repeatable unit is a folder with instructions, references, assets, examples, or scripts where the workflow needs them.

Animated demo of packaging an AI workflow as an installable skill — **Packaging demo** The workflow moves from an idea to a reviewable, installable skill package.

Stack

Built with.

Codex Claude Code AI Skills Workflow Automation Developer Tools Markdown GitHub MIT License Skill folders v0.2.4

Outcomes

What changed.

MIT public open-source license

v0.2.4 latest public release referenced

6 workflow families packaged

Reusable installable skill folder format

The important outcome is operational memory. JQ AI Skills turns useful agent behavior into something that can be inspected, improved, installed, and shared. That is the difference between a clever prompt and a small piece of reusable AI infrastructure.

Service