Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 4 skills

Use this as a shortlist, then open the skill detail page before adopting.

Add more skills

Decision summary

grill-me is the strongest overall pick here because it has a 100/100 readiness score and fits Research agents.

Strongest overall

grill-me

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

grill-me

Best first install candidate based on install readiness and adoption.

Freshest repo

grill-me

Most recent maintenance signal among this shortlist.

Signal	angular Use when building, refactoring, or debugging Angular (v20/21+): standalone components, signals, zoneless change detection, @if/@for/@defer control flow, inject() DI, resource()/httpResource(), RxJS interop, NgRx SignalStore, ng CLI. NOT React (that is react), NOT Next.js (that is nextjs), NOT a TypeScript language question (that is typescript).	Last30days Skill Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.	grill-me A relentless interview to sharpen a plan or design.	Deep Research An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
Quality	69/100 Promising	100/100 Excellent	100/100 Excellent	100/100 Excellent
Decision verdict	68/100 Prototype first Prototype with this skill first; keep a fallback candidate ready.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.
Adoption	66 stars Verified outcomes are shown on each skill page	62K stars Verified outcomes are shown on each skill page	264K stars Verified outcomes are shown on each skill page