zhuyansen

zhuyansen / skill-blue-book

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《Skill 蓝皮书 2026》· 基于 61,776 条 Skill 数据的原生研究 · AgentSkillsHub 出品 · 54% 0 star · 基尼系数 0.983

agentskillshub.top agent-skills agentskillshub ai-agents blue-book claude-code
15
0
100% credibility
Found Apr 28, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A set of analysis tools that produce charts, statistics, and figures examining the distribution, quality, lifecycle, and categories of AI agent skills from a shared hub.

How It Works

1
📚 Discover the Skill Blue Book

You find this handy collection of tools that uncovers hidden patterns in the world of AI helper skills, like popularity and quality trends.

2
⬇️ Pick up the analysis kit

Grab the ready-to-use files that let you explore skill data without any hassle.

3
📊 Create stunning charts and stats

Hit go and instantly get colorful graphs and numbers revealing long-tail stars, survival stories, quality sweet spots, and ecosystem insights.

4
🔍 Explore your fresh insights

Review the pie charts, bar graphs, and reports that show how skills live, grow, or fade in the AI world.

🎉 Share pro-level findings

Armed with eye-opening visuals, you're set to write reports, posts, or talks about the real story behind AI skills.

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Star Growth

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AI-Generated Review

What is skill-blue-book?

This Python project crunches 61k+ entries from the AgentSkillsHub database—a github skill marketplace for AI agent skills—generating charts and stats on star distributions, Gini coefficients (0.983 here), supply explosions, and quality correlations. Run the scripts to pull fresh data via Supabase API, plot long-tail graphs, survival curves, and lifecycle pies with matplotlib, outputting PNGs and JSON snapshots for your blue archive skill book reports. It surfaces hard truths like 54% zero-star skills, helping you benchmark the github skill directory ecosystem.

Why is it gaining traction?

Unlike raw dashboards, it delivers publication-ready visuals on atomicity (README size vs quality), category breakdowns, and author concentration, with hooks like "15x star growth for active repos." Developers grab it for instant insights into skill brawlers 2026 trends, like top categories dominating team/global sharing tiers. The one-command analysis beats scraping github skill sets manually.

Who should use this?

AI agent builders publishing to AgentSkillsHub or github skill hubs, needing data on what makes skills survive (commit frequency) or score high (10-20KB READMEs). Researchers tracking blue protocol skill book exchanges or bns neo blue skill books markets. OSS analysts eyeing github antigravity skill patterns or skill github anthropic integrations.

Verdict

Grab it if you're deep in agent skills—solid for custom forks despite 15 stars and 1.0% credibility signaling early days with thin docs. Fork and run; maturity lags traction potential in this niche.

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