AI Agent Skill Repository

AI Agent Skills Directory

Browse reusable skills for Codex, Claude Code, Cursor, finance, research, web scraping, PPT, football analytics, data, marketing, design, and more.

Browse by scenario

Real skills, grouped by the work your agent needs to finish.

Each directory entry links to real skill pages with GitHub adoption, trust score, install handoff, risk notes, and agent-readable metadata. Use these as starting points when you want a shortlist before asking an agent to install anything.

Design to deployment

Frontend and UI skills

Design direction, Figma implementation, UI review, React performance, browser QA, and safe preview deployments.

  • Frontend Design166K stars

    Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product…

    Trust 88Quality 100design-creative
  • Material Ui98K stars

    Material UI: Comprehensive React component library that implements Google's Material Design. Free forever.

    Trust 90Quality 100design-creative
  • Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful r…

    Trust 91Quality 100design-creative

Codex, Claude Code, Cursor

Coding agent skills

Code review, repo inspection, testing, planning, shipping, and engineering workflows for coding agents.

  • Code Review169K stars

    Review a diff separately for code standards and spec compliance.

    Trust 91Quality 100coding-agents
  • Open Design83K stars

    🎨 Local-first, open-source Claude Design alternative. 🖥️ Native desktop app. ⚡ 259+ Skills · ✨ 142+ Design…

    Trust 91Quality 100agent-skills
  • Agent Skills81K stars

    Production-grade engineering skills for AI coding agents.

    Trust 86Quality 100agent-skills

Documents and knowledge

Research and RAG skills

Research, recent-events briefings, PDF parsing, markdown conversion, RAG ingestion, and knowledge workflows.

  • Markitdown156K stars

    Python tool for converting files and office documents to Markdown.

    Trust 87Quality 100document-processing
  • PaddleOCR83K stars

    Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bri…

    Trust 89Quality 100document-processing
  • Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, s…

    Trust 88Quality 100rag-knowledge

Markets and quant

Finance and trading skills

Stock analysis, market research, quant backtesting, financial data, and investment research skills.

  • Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts t…

    Trust 72Quality 48finance
  • TradingAgents88K stars

    TradingAgents: Multi-Agents LLM Financial Trading Framework

    Trust 88Quality 100finance
  • Union74K stars

    The trust-minimized, zero-knowledge bridging protocol, designed for censorship resistance, extremely high sec…

    Trust 91Quality 100web3-analytics

Crawlers and extraction

Web scraping skills

Crawling, scraping, extraction, browser automation, structured data capture, and website-to-markdown workflows.

  • Firecrawl139K stars

    The API to search, scrape, and interact with the web at scale. 🔥

    Trust 87Quality 100agent-frameworks
  • Crawl4AI73K stars

    Web crawling built for AI

    Trust 90Quality 100web-automation
  • Scrapling70K stars

    Adaptive web scraping for agent data collection

    Trust 85Quality 100web-automation

Slides and decks

PPT and presentation skills

Presentation generation, editable PPTX, slide decks, speaker notes, and visual storytelling workflows.

  • Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact ter…

    Trust 91Quality 100design-creative
  • Canvas Design166K stars

    Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.

    Trust 87Quality 100design-creative

Prompts, B-roll, explainers

Video creation skills

Video-generation prompts, B-roll, Vox-style explainers, camera direction, captions, and creative-production workflows.

  • 利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.

    Trust 88Quality 100automation
  • List of Computer Science courses with video lectures.

    Trust 85Quality 100ml-automation
  • Cnn Explainer9.0K stars

    Learning Convolutional Neural Networks with Interactive Visualization.

    Trust 79Quality 74ml-automation

Images, video, UI

Design and creative skills

Image, video, creative production, UI design, multimodal generation, and visual workflow skills.

  • Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related arti…

    Trust 88Quality 100design-creative
  • TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation M…

    Trust 70Quality 43robotics-iot
  • Tensorflow implementation for Conditional Convolutional Adversarial Networks.

    Trust 68Quality 44media-automation

Supply tracks

Build the registry by domain, not just by count.

Coding

Coding and developer agents

195

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

177 quality166 maintained

Research

Research and knowledge work

68

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

65 quality63 maintained

Presentation

Presentation and deck workflows

1

PPTX generation, HTML slides, pitch decks, speaker notes, and presentation workflow skills.

1 quality1 maintained

Finance

Finance and quant workflows

14

Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows.

14 quality13 maintained

Marketing

Marketing and growth automation

10

SEO, content operations, lead generation, CRM, email automation, analytics, and growth workflows.

10 quality10 maintained

Design

Design and creative production

59

Design assets, images, video, audio, multimodal media, presentation, and creative production skills.

53 quality48 maintained

Data

Data, BI, and analytics

32

CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.

31 quality31 maintained

Legal

Legal, policy, and compliance

10

Contract analysis, privacy, policy review, compliance checks, governance, and document risk review.

10 quality10 maintained

Education

Education and tutoring

5

Tutoring, course generation, quizzes, learning analytics, classrooms, and teaching workflows.

5 quality5 maintained

World Cup

Football and World Cup analytics

2

Football data, World Cup dashboards, xG, match prediction, scouting, and sports analytics.

2 quality2 maintained

High-intent entry points

Start from the task, not a keyword list.

These shortcuts use the same trust, supply, and relevance signals as the registry API, so humans and agents land on a useful shortlist faster.

Agent-readable index

Decision filters

Choose by scenario, quality, and trust signals.

Showing 1-16 of 386 ranked candidates matching "convolution"

Best blend of quality, stars, freshness, and agent usage

1

Convolutional Pose Machines Tensorflow

NEEDS REVIEW · 49TRUST · 73SAFE · EXPERIMENTALCODING

timctho/convolutional-pose-machines-tensorflow is a high-star GitHub project relevant to AI agent workflows.

$ npx skills add timctho/convolutional-pose-machines-tensorflow
796 stars39 quality73 trustExperimental7y since pushNeeds review
QualityInspect the repository carefully before adding it to an agent workflow.Check: Repository looks stale
TrustGood trust signals with a few areas worth checking before rollout.Review: Repository looks stale
Safety gateSparse or mixed signals. Useful for discovery, but not for autonomous installation.

Scenario GitHub automation

CLI + Codex · 4 targets

pythoncomputer-vision
by timcthoDetailsQuick view
2

Deep Convolution Stock Technical Analysis

NEEDS REVIEW · 48TRUST · 72SAFE · EXPERIMENTALFINANCE

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

$ npx skills add philipxjm/Deep-Convolution-Stock-Technical-Analysis
626 stars38 quality72 trustExperimental3y since pushNeeds review
QualityInspect the repository carefully before adding it to an agent workflow.Check: Repository looks stale
TrustGood trust signals with a few areas worth checking before rollout.Review: Repository looks stale
Safety gateSparse or mixed signals. Useful for discovery, but not for autonomous installation.

Scenario Finance and quant

CLI + Codex · 4 targets

pythonmarket-data
by philipxjmDetailsQuick view
3

Convolution Vision Transformers

NEEDS REVIEW · 44TRUST · 68SAFE · EXPERIMENTALCODING

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

$ npx skills add rishikksh20/convolution-vision-transformers
227 stars35 quality68 trustExperimental5y since pushNeeds review
QualityInspect the repository carefully before adding it to an agent workflow.Check: Repository looks stale
TrustPotentially useful, but at least one trust signal needs human inspection.Review: Repository looks stale
Safety gateSparse or mixed signals. Useful for discovery, but not for autonomous installation.

Scenario GitHub automation

CLI + Codex · 4 targets

pythoncomputer-vision
by rishikksh20DetailsQuick view
4

Convolutional KANs

NEEDS REVIEW · 50TRUST · 75SAFE · EXPERIMENTALCODING

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation…

$ npx skills add AntonioTepsich/Convolutional-KANs
921 stars39 quality75 trustExperimental1y since pushNeeds review
QualityInspect the repository carefully before adding it to an agent workflow.Check: Repository looks stale
TrustGood trust signals with a few areas worth checking before rollout.Review: Repository looks stale
Safety gateSparse or mixed signals. Useful for discovery, but not for autonomous installation.

Scenario GitHub automation

CLI + Codex · 4 targets

jupyter-notebookcomputer-vision
by AntonioTepsichDetailsQuick view
5

ConvolutionalNeuralOperator

PROMISING · 57TRUST · 74SAFE · EXPERIMENTALCODING

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

$ npx skills add camlab-ethz/ConvolutionalNeuralOperator
225 stars39 quality74 trustExperimental8mo since pushNeeds review
QualityUseful candidate, but compare it with alternatives before adopting.
TrustGood trust signals with a few areas worth checking before rollout.Review: Quality score needs review
Safety gateSparse or mixed signals. Useful for discovery, but not for autonomous installation.

Scenario GitHub automation

CLI + Codex · 4 targets

pythonscientific-computing
by camlab-ethzDetailsQuick view
6

Convolutional Handwriting Gan

NEEDS REVIEW · 45TRUST · 71SAFE · EXPERIMENTALRESEARCH

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

$ npx skills add amzn/convolutional-handwriting-gan
317 stars36 quality71 trustExperimental6y since pushNeeds review
QualityInspect the repository carefully before adding it to an agent workflow.Check: Repository looks stale
TrustPotentially useful, but at least one trust signal needs human inspection.Review: Repository looks stale
Safety gateSparse or mixed signals. Useful for discovery, but not for autonomous installation.

Scenario Document processing

CLI + Codex · 4 targets

pythonocr
by amznDetailsQuick view
7

DPED

VERIFIEDSTRONG · 75TRUST · 81SAFE · REVIEWEDDESIGN

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

$ npx skills add aiff22/DPED
1.7K stars53 quality81 trustReviewed with permission notes11mo since pushNeeds review
QualitySolid option that is likely worth shortlisting for production workflows.
TrustGood trust signals with a few areas worth checking before rollout.Review: License is unclear
Safety gateUsable candidate, but the agent should surface permission and audit notes before installation.

Scenario Multimodal media

CLI + Codex · 4 targets

pythoncomputer-vision
by aiff22DetailsQuick view
8

Conformer

VERIFIEDSTRONG · 82TRUST · 84SAFE · REVIEWEDDESIGN

[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

$ npx skills add sooftware/conformer
1.1K stars56 quality84 trustReviewed7mo since pushSafe to try
QualitySolid option that is likely worth shortlisting for production workflows.
TrustGood trust signals with a few areas worth checking before rollout.Review: Documentation summary is thin
Safety gateGood audit and safety signals with no high-risk permission hints in public metadata.

Scenario Multimodal media

CLI + Codex · 4 targets

pythonspeech
by sooftwareDetailsQuick view
9

MeshCNN

VERIFIEDPROMISING · 67TRUST · 77SAFE · EXPERIMENTALDESIGN

Convolutional Neural Network for 3D meshes in PyTorch

$ npx skills add ranahanocka/MeshCNN
1.7K stars49 quality77 trustExperimental2y since pushNeeds review
QualityUseful candidate, but compare it with alternatives before adopting.Check: Repository looks stale
TrustGood trust signals with a few areas worth checking before rollout.Review: Repository looks stale
Safety gateSparse or mixed signals. Useful for discovery, but not for autonomous installation.

Scenario Multimodal media

CLI + Codex · 4 targets

pythonmachine-learning
by ranahanockaDetailsQuick view
10

NumPyCNN

NEEDS REVIEW · 43TRUST · 68SAFE · BLOCKEDCODING

Building Convolutional Neural Networks From Scratch using NumPy

$ npx skills add ahmedfgad/NumPyCNN
599 stars38 quality68 trustBlocked for auto-install3y since pushRisky
QualityInspect the repository carefully before adding it to an agent workflow.Check: Repository looks stale
TrustPotentially useful, but at least one trust signal needs human inspection.Review: License is unclear
Safety gateThis skill should not be selected by an agent without explicit human security review.

Scenario GitHub automation

CLI + Codex · 4 targets

pythoncomputer-vision
by ahmedfgadDetailsQuick view
11

Dropblock

NEEDS REVIEW · 48TRUST · 73SAFE · EXPERIMENTALCODING

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

$ npx skills add miguelvr/dropblock
594 stars38 quality73 trustExperimental6y since pushNeeds review
QualityInspect the repository carefully before adding it to an agent workflow.Check: Repository looks stale
TrustGood trust signals with a few areas worth checking before rollout.Review: Repository looks stale
Safety gateSparse or mixed signals. Useful for discovery, but not for autonomous installation.

Scenario Coding agents

CLI + Codex · 4 targets

pythoncomputer-vision
by miguelvrDetailsQuick view
12

Torch Conv Kan

NEEDS REVIEW · 53TRUST · 73SAFE · EXPERIMENTALCODING

This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convo…

$ npx skills add IvanDrokin/torch-conv-kan
530 stars38 quality73 trustExperimental2y since pushNeeds review
QualityInspect the repository carefully before adding it to an agent workflow.Check: Repository looks stale
TrustGood trust signals with a few areas worth checking before rollout.Review: Repository looks stale
Safety gateSparse or mixed signals. Useful for discovery, but not for autonomous installation.

Scenario GitHub automation

CLI + Codex · 4 targets

pythoncomputer-vision
by IvanDrokinDetailsQuick view
13

KGCN

NEEDS REVIEW · 47TRUST · 71SAFE · EXPERIMENTALRESEARCH

A tensorflow implementation of Knowledge Graph Convolutional Networks

$ npx skills add hwwang55/KGCN
525 stars38 quality71 trustExperimental3y since pushNeeds review
QualityInspect the repository carefully before adding it to an agent workflow.Check: Repository looks stale
TrustPotentially useful, but at least one trust signal needs human inspection.Review: Repository looks stale
Safety gateSparse or mixed signals. Useful for discovery, but not for autonomous installation.

Scenario RAG and knowledge

CLI + Codex · 4 targets

pythonknowledge-graph
by hwwang55DetailsQuick view
14

Computer Vision

NEEDS REVIEW · 42TRUST · 70SAFE · BLOCKEDCODING

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

$ npx skills add khanhnamle1994/computer-vision
508 stars38 quality70 trustBlocked for auto-install8y since pushRisky
QualityInspect the repository carefully before adding it to an agent workflow.Check: Repository looks stale
TrustPotentially useful, but at least one trust signal needs human inspection.Review: License is unclear
Safety gateThis skill should not be selected by an agent without explicit human security review.

Scenario GitHub automation

CLI + Codex · 4 targets

jupyter-notebookcomputer-vision
by khanhnamle1994DetailsQuick view
15

Human Activity Recognition Using CNN

NEEDS REVIEW · 47TRUST · 68SAFE · EXPERIMENTALDATA

Convolutional Neural Network for Human Activity Recognition in Tensorflow

$ npx skills add aqibsaeed/Human-Activity-Recognition-using-CNN
485 stars38 quality68 trustExperimental4y since pushNeeds review
QualityInspect the repository carefully before adding it to an agent workflow.Check: Repository looks stale
TrustPotentially useful, but at least one trust signal needs human inspection.Review: Repository looks stale
Safety gateSparse or mixed signals. Useful for discovery, but not for autonomous installation.

Scenario Data analysis

CLI + Codex · 4 targets

jupyter-notebooknotebook
by aqibsaeedDetailsQuick view
16

Triplet Attention

NEEDS REVIEW · 47TRUST · 73SAFE · EXPERIMENTALRESEARCH

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

$ npx skills add landskape-ai/triplet-attention
442 stars37 quality73 trustExperimental1y since pushNeeds review
QualityInspect the repository carefully before adding it to an agent workflow.Check: Repository looks stale
TrustGood trust signals with a few areas worth checking before rollout.Review: Repository looks stale
Safety gateSparse or mixed signals. Useful for discovery, but not for autonomous installation.

Scenario Research agents

CLI + Codex · 4 targets

jupyter-notebookresearch
by landskape-aiDetailsQuick view

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