Skip to content
All Skills

AI Ready

Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".

Data, AI & Research|v1|Updated 5/18/2026|GitHub source
MCP get_skill({ skillId: "ai-ready-851abb15" })

Use this skill with your agent

Create a free account and connect via MCP

Get Started Free
# AI Ready

This skill helps the user install the latest [ai-ready](https://github.com/johnpapa/ai-ready) skill by [John Papa](https://github.com/johnpapa).

*Why?*: The full ai-ready skill is ~600 lines of detailed instructions that evolve frequently. This wrapper keeps it discoverable here while the source of truth stays in [johnpapa/ai-ready](https://github.com/johnpapa/ai-ready) — always up to date.

## Steps

1. Tell the user to add the skill by running this command inside Copilot CLI:

   ```
   /skills add johnpapa/ai-ready
   ```

   This downloads the latest version of the skill to their personal skills directory. Re-running the command updates to the latest version.

2. Remind the user to review the skill before loading it. They can inspect it with:
   ```bash
   head -20 ~/.copilot/skills/ai-ready/SKILL.md
   ```
3. After the user confirms they've reviewed and installed it, tell them to reload skills with `/skills reload` and then say `make this repo ai-ready`.
4. Do **not** run the command on the user's behalf. The user must run it themselves.
#github-copilot#awesome-copilot#external#license-mit#ai#readinessgithubbashfilesystem-access

Related Skills

More skills in Data, AI & Research

Ablation Planner

Use when main results pass result-to-claim (`claim_supported = yes` or `partial`) and ablation studies are needed for paper submission. A secondary Codex agent designs ablations from a reviewer's perspective; the local executor reviews feasibility and implements.

#broad-capability#wanshuiyin-arisMIT

Ablation Planner

Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.

#broad-capability#wanshuiyin-arisMIT

About

Provides information about the bitwize-music plugin, its version, and its creator. Use when the user asks about the plugin, its purpose, version, or capabilities.

#github#broad-capabilityCC0-1.0

Ab Test Analysis

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.

#work-life#productivityMIT

Academic Search

Search and analyze academic literature. Find papers, understand research methodologies, and synthesize academic findings for research projects.

#work-life#officeMIT

Adaptyv

How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.

#broad-capability#scienceMIT