Skip to content
Conduit

skill

agent-skills

Comprehensive collection of 850+ production-ready Agent Skills across 9 core pillars (58 domains) conforming to the Agent Skills Standard, featuring native auto-discovery for Antigravity, Claude Code,

hamzabellouch/agent-skillscommunitylistedunreviewed

Set up

Skills are installed by placing their folder where your agent loads skills.

The download comes from github.com/hamzabellouch/agent-skills itself, not from our server, so what you get is exactly what its author published.

Install instructions come from the README

Skills do not use an MCP config. Follow the steps in the README below.

README

synced Oct 25, 2026

Agent Skills

Overview

A curated, categorized collection of 850+ production-grade Agent Skills adhering to the open Agent Skills Specification. This library empowers AI coding agents and autonomous assistants—including Google Antigravity, Claude Code, Cursor, Gemini CLI, Codex CLI, Windsurf, and Cline—with deep domain expertise, multi-step workflows, deterministic quality gates, and automated tool integrations.

Repository Structure & Categories

The skills in this repository are organized into 9 core pillars categorized by granular specialization:

agent-skills/
├── Science/                                       # Natural sciences, health informatics, environment & earth sciences
│   ├── Academic_Research_and_Methodology/         # Nature writing, academic peer review, research pipelines
│   ├── BioTech_and_Health_Sciences/               # FHIR R4/R5, HL7 integration, DICOM imaging, healthcare APIs
│   ├── Environmental_and_Energy_Science/          # GHG protocol carbon accounting, smart grid telemetry
│   └── Geospatial_and_Earth_Sciences/             # PostGIS, GeoJSON, Mapbox spatial analysis & remote sensing
│
├── Physics/                                       # Classical, quantum, relativistic, thermal, optical & modern physics
│   ├── Physics_Master_Library/                    # Comprehensive physics router, problem-solving & 40+ domain skills
│   ├── Classical_Mechanics_and_Kinematics/        # Kinematics, dynamics, energy, gravitation, oscillations & fluid mechanics
│   ├── Thermodynamics_and_Statistical_Physics/    # Laws of thermodynamics, Carnot engines, entropy, ensembles & phase transitions
│   ├── Electromagnetism_and_Electrodynamics/      # Electrostatics, circuits, magnetostatics, Maxwell's equations & radiation
│   ├── Optics_and_Photonics/                      # Geometrical optics, lenses, wave interference, diffraction, lasers & Fourier optics
│   ├── Quantum_Physics_and_Simulation/            # Qiskit, Cirq, Bohr model, Schrödinger equation, perturbation theory & scattering
│   ├── Relativity_and_Astrophysics/               # Special & General relativity, Lorentz transforms, Schwarzschild metric & GWs
│   ├── Condensed_Matter_and_Materials_Physics/    # Crystal structure, band theory, semiconductors, superconductivity & magnetism
│   ├── Nuclear_and_Particle_Physics/              # Nuclear models, decay kinetics, Standard Model, quarks & Feynman diagrams
│   ├── Computational_and_Simulation_Physics/      # Numerical ODE/PDE solvers, Monte Carlo, molecular dynamics & FFT
│   └── Biophysics_and_Geophysical_Dynamics/       # Biological molecular motors, geophysical fluid dynamics & mantle convection
│
├── Math/                                          # Pure & applied mathematics, analysis, algebra, geometry & statistics
│   ├── Math_Master_Library/                       # Unified math router, symbolic & computational problem-solving
│   ├── Algebra_and_Number_Theory/                 # Arithmetic, elementary/abstract/linear algebra, number & category theory
│   ├── Calculus_and_Mathematical_Analysis/        # Single/multi-variable calculus, real/complex/functional analysis, ODEs & PDEs
│   ├── Discrete_Mathematics_and_Combinatorics/    # Discrete math, combinatorics, graph theory, mathematical logic & set theory
│   ├── Geometry_and_Topology/                     # Euclidean & analytic geometry, differential geometry & topology
│   ├── Probability_Statistics_and_Information/    # Probability theory, mathematical statistics & Shannon information theory
│   ├── Optimization_and_Game_Theory/              # Mathematical optimization, game theory, numerical methods & applied math
│   ├── Mathematical_Methods_for_Physics_and_Engineering/ # Asymptotic analysis, special functions, tensor & variational methods
│   ├── Statistics_and_Exploratory_Data_Analysis/  # Pandas/Polars EDA, statistical distributions, reproducible research
│   └── Differential_Privacy_and_Synthetic_Data/   # Differential privacy mathematical mechanisms, synthetic tabular data
│
├── Programming/                                   # Software engineering, backend, frontend, cloud, AI & low-level
│   ├── Software_Engineering_Practices/            # Superpowers planning, TDD, code review, distributed architectures
│   ├── Backend/                                   # Frameworks (FastAPI, Spring Boot), APIs (gRPC, REST), Databases, Events
│   ├── Frontend/                                  # Modern frameworks (Vue, Nuxt, Svelte), Desktop (Tauri, Electron), i18n
│   ├── Mobile/                                    # iOS SwiftUI, Android Jetpack Compose, Flutter, React Native Expo
│   ├── Cloud_DevOps_and_Infrastructure/           # GCP, AWS/Azure, Kubernetes, Terraform IaC, Networking, Observability
│   ├── Systems_and_Hardware/                      # Linux kernel & drivers, Embedded IoT (ESP32), FPGA EDA, Robotics (ROS 2)
│   ├── AI_Engineering_and_Platforms/              # Agents (Gemini, Claude, MCP), Gemma 4 ecosystem & training, Vector DBs, MLOps
│   ├── Data_Engineering/                          # PySpark, Delta Lake, dbt transformations, Airflow pipelines
│   ├── Web3_and_Blockchain/                       # Solidity & Foundry security, Anchor Solana Rust programs
│   ├── Automation_and_Integration/                # n8n workflow automation, Zapier & Make integration patterns
│   └── Testing_and_QA/                            # Playwright E2E automation, Cypress, k6 load testing
│
├── Design/                                        # UI/UX design systems, component styling, branding & visual assets
│   └── UI_UX_and_Design_Systems/                  # Anti-slop UI, UI/UX Pro Max, brand kits, design taste, web artifacts
│
├── Art/                                           # Digital art, generative algorithms, 3D, audio & video media
│   ├── Generative_and_Algorithmic_Art/            # Algorithmic p5.js art, canvas design, Slack GIF animations
│   ├── Game_Art_and_3D_Interactive/               # Unity DOTS/ECS C#, Unreal Engine 5 C++, Godot 4 GDScript
│   ├── Spatial_Design_and_XR/                     # WebXR 3D spatial design, visionOS Swift spatial computing
│   ├── Audio_Engineering_and_Sound_Design/        # Web Audio API synthesis, DSP audio filter effects
│   └── Digital_Media_and_Video_Production/        # FFmpeg ABR transcoding pipeline, WebRTC real-time media
│
├── Reference/                                     # References, documentation, office automation & knowledge management
│   ├── Personal_Knowledge_and_Notes/              # Obsidian markdown, bases, json-canvas, vault CLI
│   ├── Document_Standards_and_Formats/            # Microsoft Word (docx), PDF, PowerPoint (pptx), Excel (xlsx)
│   ├── Workspace_and_Productivity_Suites/         # Google Workspace (Gmail, Drive, Docs, Sheets, Keep, Tasks)
│   ├── Technical_Writing_and_Documentation/       # AI humanizer, natural writing style calibration
│   └── Methodologies_and_Interrogation/           # Requirements interviewing (interview-me), idea refinement
│
├── Business/                                      # Enterprise, commerce, financial engineering & product operations
│   ├── Fintech_and_Accounting/                    # Invoicing (ZATCA, Peppol), Payment Gateways (Stripe, PCI-DSS, FIX)
│   ├── E_Commerce_and_Retail/                     # Shopify Liquid & App SDK, WooCommerce payment & inventory sync
│   ├── Supply_Chain_and_Logistics/                # Vehicle routing problem (VRP), WMS inventory control
│   ├── Enterprise_Systems_CRM_ERP/                # Salesforce Apex & LWC, HubSpot CRM API integration
│   ├── Product_Management_and_Ops/                # PRD feature specification, user story mapping & backlog
│   ├── Marketing_and_Growth/                      # Growth marketing, SEO, copywriting, ads, CRO
│   ├── Customer_Operations_and_Support/           # Omnichannel helpdesk ticket routing, CSAT sentiment triage
│   └── EdTech_and_Learning_Systems/               # SCORM & xAPI interoperability, Canvas & Moodle LMS integrations
│
└── Security/                                      # Cybersecurity, code auditing, supply chain, IAM & compliance
    ├── Codex_Security/                            # OpenAI Codex security audit, diff scan, patch risk & threat modeling
    ├── Security_Audit_and_Code_Review/            # Automated vulnerability discovery harness, source code auditing
    ├── Offensive_Security_and_Pentesting/         # Application pentesting, offensive security, malware analysis
    ├── DevSecOps_and_Supply_Chain_Security/       # SLSA L3, Syft/CycloneDX SBOM, Cosign, HashiCorp Vault
    ├── Identity_and_Access_Management_IAM/        # OAuth 2.1 / OIDC security flows, JWT session hardening
    └── Governance_Compliance_and_Legal_Tech/      # GDPR & CCPA privacy engineering, SOC 2 compliance automation

How to Integrate & Use Skills in Your Projects

All skills in this directory follow the standard SKILL.md format with YAML frontmatter:

---
name: skill-name
description: Clear description of what the skill does and when the agent should trigger it.
---

Step 1: Clone the Repository

First, clone this repository locally:

git clone https://github.com/hamzabellouch/agent-skills.git

Step 2: Integrate Skills into Your Assistant

1. Google Antigravity, AGY CLI & Gemini CLI
  • Project-Level (Specific Repository): Copy the desired skill folder or category into your project's .agents/skills/ directory:

    • Linux (Bash):

      mkdir -p /path/to/your-project/.agents/skills
      cp -r /path/to/agent-skills/Programming/Mobile/camerax /path/to/your-project/.agents/skills/
      
    • macOS (Zsh / Terminal):

      mkdir -p /path/to/your-project/.agents/skills
      cp -R /path/to/agent-skills/Programming/Mobile/camerax /path/to/your-project/.agents/skills/
      
    • Windows (PowerShell):

      New-Item -ItemType Directory -Path "C:\path\to\your-project\.agents\skills" -Force
      Copy-Item -Path "C:\path\to\agent-skills\Programming\Mobile\camerax" -Destination "C:\path\to\your-project\.agents\skills\" -Recurse
      
    • Windows (Command Prompt / CMD):

      mkdir "C:\path\to\your-project\.agents\skills"
      xcopy /E /I "C:\path\to\agent-skills\Programming\Mobile\camerax" "C:\path\to\your-project\.agents\skills\camerax"
      
  • Global Level (All Projects): Copy skill folders to your global configuration directory:

    • Linux: ~/.gemini/config/skills/
    • macOS: ~/.gemini/config/skills/
    • Windows: %USERPROFILE%\.gemini\config\skills\
2. Claude Code (claude)
  • Project-Level Integration: Copy desired skills into your project's .claude/skills/ folder:

    • Linux (Bash):

      mkdir -p /path/to/your-project/.claude/skills
      cp -r /path/to/agent-skills/Programming/Software_Engineering_Practices/* /path/to/your-project/.claude/skills/
      
    • macOS (Zsh / Terminal):

      mkdir -p /path/to/your-project/.claude/skills
      cp -R /path/to/agent-skills/Programming/Software_Engineering_Practices/* /path/to/your-project/.claude/skills/
      
    • Windows (PowerShell):

      New-Item -ItemType Directory -Path "C:\path\to\your-project\.claude\skills" -Force
      Copy-Item -Path "C:\path\to\agent-skills\Programming\Software_Engineering_Practices\*" -Destination "C:\path\to\your-project\.claude\skills\" -Recurse
      
    • Windows (Command Prompt / CMD):

      mkdir "C:\path\to\your-project\.claude\skills"
      xcopy /E /I "C:\path\to\agent-skills\Programming\Software_Engineering_Practices" "C:\path\to\your-project\.claude\skills"
      
  • Plugin Directory Flag: Pass the skill category path directly when launching Claude Code:

    • Linux / macOS:

      claude --plugin-dir /path/to/agent-skills/Programming/Software_Engineering_Practices
      
    • Windows:

      claude --plugin-dir "C:\path\to\agent-skills\Programming\Software_Engineering_Practices"
      
3. Cursor IDE & Windsurf
  1. Create a .cursor/skills/ directory inside your target project repository.
  2. Copy your desired skill folders (e.g., camerax, test-driven-development) into .cursor/skills/.
  3. Cursor will automatically parse SKILL.md manifests and invoke instructions when relevant.
4. Codex CLI (codex) & OpenCode

Copy the desired skill folders into your project's .codex/skills/ directory:

  • Linux (Bash):

    mkdir -p /path/to/your-project/.codex/skills
    cp -r /path/to/agent-skills/Programming/Backend/Databases_and_Caching/* /path/to/your-project/.codex/skills/
    
  • macOS (Zsh / Terminal):

    mkdir -p /path/to/your-project/.codex/skills
    cp -R /path/to/agent-skills/Programming/Backend/Databases_and_Caching/* /path/to/your-project/.codex/skills/
    
  • Windows (PowerShell):

    New-Item -ItemType Directory -Path "C:\path\to\your-project\.codex\skills" -Force
    Copy-Item -Path "C:\path\to\agent-skills\Programming\Backend\Databases_and_Caching\*" -Destination "C:\path\to\your-project\.codex\skills\" -Recurse
    
  • Windows (Command Prompt / CMD):

    mkdir "C:\path\to\your-project\.codex\skills"
    xcopy /E /I "C:\path\to\agent-skills\Programming\Backend\Databases_and_Caching" "C:\path\to\your-project\.codex\skills"
    
5. Cline, Roo Code & VS Code Agentic Extensions
  • Workspace-Level Integration: Place the desired skills into .cline/skills/ or .roo/skills/ in your workspace root.
  • Auto-Discovery: The agent will automatically read and index SKILL.md instructions into its active execution context when relevant tasks are triggered.
6. Desktop AI Apps (AionUi, Cherry Studio, LibreChat)
  • Cherry Studio / AionUi: Settings -> Skills -> Add Local Skill -> Select any skill folder (containing SKILL.md).
  • LibreChat: List local skill paths in your librechat.yaml under skills.local.

Best Practices

  1. Context Window Efficiency: Copy only the relevant skill categories needed for your active project to keep prompt context focused and fast.
  2. Standard Compatibility: Any AI coding assistant supporting the SKILL.md open specification will automatically detect skill descriptions and execute instructions seamlessly.

[!WARNING] There is always a possibility of error, so we assume no responsibility for any inaccuracies.

Copyright © 2026

Thank you for engaging with us. For inquiries or collaboration, please contact:
hamzabellouchcontact@gmail.com

Stay connected and follow us on:
WhatsApp | Facebook | Instagram | Twitter | Telegram | LinkedIn

↑↓ navigate openesc close