Skill rankings
Most starred AI agent skills
GitHub projects ordered by public star count. Each repository appears once, so one popular multi-skill repo cannot occupy the whole list.
Shown: 30 · Candidates: 62
Compare top 4Saved directory data is shown because current data is unavailable. Dates and metrics may be out of date.
- 01
n8n
Workflow automation for connecting agents to repeated operational tasks.
@n8n-ioWorkflow AutomationReview before useView details190,000
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 77/100
- 02
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
@anthropicsDesignReview before useView details163,076
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- 03
MarkItDown
Convert PDFs, Office documents, and web files into clean markdown for agents.
@microsoftDocument ProcessingReview before useView details80,000
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 98/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 04
Playwright
Reliable browser automation and testing engine for web agent tasks.
@microsoftBrowser AutomationReview before useView details76,000
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 98/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 05
Browser Use
Browser automation layer for agents that need to interact with websites.
@browser-useBrowser AutomationReview before useView details75,000
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 98/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 77/100
- 06
Crawl4AI
Open-source LLM-friendly web crawler and scraper for agent workflows.
@unclecodeWeb ScrapingReview before useView details66,000
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 96/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 07
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
@LeonxlnxDesignReview before useView details65,810
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 96/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- 08
Agent Skills
Production-grade engineering skills and quality gates for AI coding agents.
@addyosmaniCoding AgentsReview before useView details61,800
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 96/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 09
OpenBB
Open-source investment research platform for financial analysis agents.
@OpenBB-financeFinanceReview before useView details46,000
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 93/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 77/100
- 10
Last30days Skill
Research recent cross-source changes across Reddit, X, YouTube, Hacker News, and the web.
@mvanhornResearchReview before useView details42,500
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 93/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 77/100
- 11
LlamaIndex
Data framework for building RAG and knowledge workflows around agent tasks.
@run-llamaRAGReview before useView details42,000
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 93/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 12
Equity Research Earnings Analysis
Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.
@anthropicsFinanceReview before useView details34,158
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 91/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 13
Firecrawl
Turn websites into clean markdown or structured data for retrieval and agents.
@mendableaiWeb ScrapingReview before useView details34,000
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 91/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 14
Web Design Guidelines
Review UI code for web interface guidelines, UX quality, accessibility, and interaction design best practices.
@vercel-labsDesignReview before useView details29,271
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 89/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- 15
Figma Implement Design
Translate Figma designs into production-ready UI code with close visual fidelity and component-level detail.
@openaiDesignReview before useView details24,000
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 88/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- 16
GitHub
Repository analysis, pull request review, issue triage, and release workflow automation.
@githubCoding AgentsReview before useView details18,000
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 85/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 77/100
- 17
Serenity Skill
Stock analysis skill for market research and financial reasoning workflows.
@muxuuuFinanceReview before useView details12,000
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 82/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 77/100
- 18
Seedance 2.0 Skill
Creative video generation workflow skill for Seedance 2.0 filmmaking agents.
@Emily2040DesignReview before useView details8,000
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 78/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 19
Vectorbt
Fast quantitative research and backtesting workflows for financial agents.
@polakowoFinanceReview before useView details5,400
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 75/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 77/100
- 20
StatsBomb Open Data
Open football event data for match analysis, xG research, scouting, and World Cup-style dashboards.
@statsbombSports AnalyticsReview before useView details3,900
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 72/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 77/100
- 21
Company Valuation
Estimate a public companys intrinsic value through DCF, relative, and sum-of-the-parts valuation methods.
@himself65FinanceReview before useView details3,139
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 70/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 22
Seedance 2.0 Prompt Writing
Write precise Seedance 2.0 prompts for multimodal video, camera movement, editing, music, and product storytelling.
@dexhunterDesignReview before useView details2,917
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 69/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- 23
AlphaEar Stock Data
Look up A-share, Hong Kong, and US stock tickers and retrieve historical OHLCV price data for research.
@RKidingFinanceReview before useView details2,768
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 69/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 24
Market Environment Analysis
Create a global market conditions report spanning equities, rates, FX, commodities, risk appetite, and sector rotation.
@tradermontyFinanceReview before useView details2,602
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 68/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 25
Aaron Marketing Skills
120 marketing skills for SEO/GEO, influencer, paid ads, email, launch, organic social, and brand narrative agents.
@aaron-he-zhuMarketingReview before useView details2,313
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 67/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 26
AlphaGBM Stock Analysis
Analyze a ticker with AlphaGBMs five-pillar framework: fundamentals, technicals, sentiment, flows, and valuation.
@AlphaGBMFinanceReview before useView details1,763
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 65/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 27
mplsoccer
Football pitch plotting and soccer analytics visuals for match reports and dashboards.
@andrewRowlinsonSports AnalyticsReview before useView details1,100
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 61/100
- Quality
- 97/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 77/100
- 28
Tech Earnings Deep Dive
Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks.
@star23FinanceReview before useView details1,027
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 60/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 29
David Ondrej Skills
Official Agent Skills for coding agents, research, workflow orchestration, docs, ops, and skill authoring.
@davidondrejAgent SkillsReview before useView details968
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 60/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- 30
Simons Quant
Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.
@xuboyuebobbFinanceReview before useView details811
GitHub repository stars
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 58/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
A shortlist from up to 480 directory candidates, not the entire registry. Stars belong to repositories. Signals are not safety guarantees or runtime verification.
How this list works
Ordered by repository star count, with each GitHub project listed once.
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
30-day snapshot data






















































