baibizhe

baibizhe / Awesome-Skills-Paper

Public

contains the list of papers of agent skills

19
0
100% credibility
Found Mar 17, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
AI Summary

A curated and categorized collection of recent research papers on skills for AI agents, including learning, reasoning, orchestration, benchmarks, security, and surveys.

How It Works

1
🔍 Discover the List

You search online for the latest ideas on smart AI helpers and find this handy collection of research papers.

2
📖 Open the Page

You click on the page and see a neatly organized list of papers grouped into helpful categories like learning new tricks or staying safe.

3
⭐ Explore Categories

You pick a section that interests you, like how AI builds skills or teams up different abilities, and skim the short summaries of each paper.

4
Choose Your Path
📄
Read Summaries

Enjoy the one-sentence highlights and key results right there on the page.

🔗
Visit Papers

Click links to full papers for all the details.

5
💡 Learn New Ideas

You gain fresh insights into how AI agents can learn, reason, and work better together from these expert writings.

🎉 Stay Inspired

You're now up-to-date on cutting-edge AI skills research and ready to explore more or share with friends.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 19 to 19 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is Awesome-Skills-Paper?

This repo delivers a curated, categorized list of recent papers on AI agent skills, spanning skill learning, reasoning, routing, benchmarks, security, and surveys. It solves the pain of sifting through arXiv noise by organizing 20+ papers from late 2025-early 2026 into markdown tables with summaries, key metrics, and links—modeled after Awesome-Efficient-LLM for quick scanning. Developers get an awesome agent reference hub with no code, just actionable paper overviews in a single README.

Why is it gaining traction?

It stands out with tight categorization and metric-focused intros that highlight real gains like 15%+ RL boosts or 40% reward uplifts, beating scattered Twitter threads or unfiltered searches. The hook is its focus on hot agent topics—skill orchestration ecosystems, robustness audits—making it a fast ramp-up for tracking transferable skills across python, java, javascript, kotlin, typescript, c#, sql lists in agent workflows. Low-barrier contrib format draws researchers adding github workflow integrations or event-driven agent papers.

Who should use this?

AI agent builders prototyping skill libraries for LLM orchestration, like RL devs tuning hierarchical SkillBanks on WebShop or AlfWorld. Researchers evaluating agent security in wild ecosystems or benchmarking skill routing against baselines. Teams exploring agentic skills in github actions, ref handling, pull_request labels, or event comment body parsing for automated workflows.

Verdict

Bookmark it as a solid, fresh starting point for agent skills research despite 19 stars and 1.0% credibility score—docs are crisp but maturity is early with no tests or examples. Worth forking to track evolving papers if you're deep in awesome agent dev.

(178 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.