ai-agents-public
💡 Summary
A comprehensive library of AI agents and Claude Code skills for various applications.
🎯 Target Audience
🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”
Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); API keys/tokens handling and storage; filesystem read/write scope and path traversal. Run with least privilege and audit before enabling in production.
AI Agents Library
Production-Ready AI Agent Prompts & Claude Code Skills
A curated collection of 40+ Custom GPT agents and 50 Claude Code skills optimized for ChatGPT, Claude Projects, Codex, and Gemini platforms.
Quick Start • Custom GPTs • Claude Skills • Frameworks • Contributing
Table of Contents
- What's Inside
- Repository Architecture
- Custom GPT Agents
- Claude Code Skills
- Frameworks
- Quick Start
- Prompt Engineering Framework
- Platform Support
- Contributing
- License
What's Inside
This repository contains 40+ specialized AI agents and 50 Claude Code skills organized by domain, each optimized for specific tasks and workflows. All agents follow a consistent template structure with platform-specific optimizations.
graph TB subgraph "AI Agents Library" A[Custom GPT Agents<br/>40+ Specialized Agents] --> A1[Education] A --> A2[Lifestyle] A --> A3[Productivity] A --> A4[Programming] A --> A5[Research & Analysis] A --> A6[Writing] B[Claude Code Skills<br/>50 Development Skills] --> B1[Software Development] B --> B2[AI/ML Engineering] B --> B3[DevOps & Platform] B --> B4[Quality & Testing] B --> B5[Documentation] C[Frameworks<br/>Copy-Paste Ready] --> C1[Claude Code Kit] C --> C2[Codex Kit] C --> C3[Gemini Kit] D[Master Template v3.5<br/>13-Section Framework] --> A D --> B D --> C end style A fill:#4A90E2 style B fill:#9B59B6 style C fill:#E67E22 style D fill:#27AE60
What Makes This Different?
- Production-Ready: Every agent tested and optimized for real-world use
- Multi-Platform: Works across ChatGPT, Claude, Codex, and Gemini
- Systematic Framework: Master Template v3.5 with 13 standardized sections
- Character-Optimized: Custom GPT agents under 8000 char limit
- Curated Resources: JSON source files with 60+ curated references per domain
- Copy-Paste Kits: Complete
.claude/and.codex/workspace templates
Repository Architecture
graph LR subgraph "Repository Structure" A[custom-gpt/] --> A1[education/] A --> A2[lifestyle/] A --> A3[productivity/] A --> A4[programming/] A --> A5[research-n-analysis/] A --> A6[writing/] B[frameworks/] --> B1[claude-code-kit/<br/>50 Skills] B --> B2[codex-kit/<br/>Router System] B --> B3[gemini-kit/<br/>Router System] C[Each Agent] --> C1[01_agent-name.md<br/>Main Prompt] C --> C2[02_sources.json<br/>Curated Resources] C --> C3[agent-name.yaml<br/>Configuration] end style A fill:#4A90E2,color:#fff style B fill:#9B59B6,color:#fff style C fill:#27AE60,color:#fff
Three-File Agent Pattern
Every agent follows a consistent structure:
AgentName/ ├── 01_agent-name.md # Main prompt file (<8000 chars for Custom GPT) ├── 02_sources-agent-name.json # Curated web resources and references ├── agent-name.yaml # Configuration (role, commands, constraints) └── archive/ # Version history (git-ignored)
Custom GPT Agents
40+ specialized agents optimized for ChatGPT Custom GPTs (8000 character limit).
Agent Categories
Education (3 agents)
- English Tutor - IELTS Writing Task 1 & 2 preparation with band score feedback
- UK Tax and Legal Adviser 2025 - UK tax, legal, and regulatory guidance (2025/26 tax year)
- Life in the UK 2025 - Citizenship test preparation with practice questions
Lifestyle (7 agents)
- Fitness Buddy - Personalized workout programming with progressive overload strategies
- DietGPT - Comprehensive nutrition planning with macro/micronutrient targets
- Sleep Coach - Sleep optimization with CBT-I techniques and environmental guidance
- ChildBridge - Child development expert with parenting strategies
- Pet Whisperer - Pet care covering nutrition, training, and species-specific needs
- ReelRecipe - Short-form video content strategist for TikTok, Instagram Reels, YouTube Shorts
- CineMatch - Movie recommendations with 66+ sources and 17 discovery commands
Productivity (5 agents)
- Prompt Engineer - Master template v3.5 with 4 deployment modes and platform-specific versions
- Product Coach - Product management with discovery, roadmapping, and prioritization frameworks
- The Negotiator - Principled negotiation with BATNA analysis and tactical empathy
- Contract Crusher - Legal contract analysis with risk identification and plain-English summaries
- SMMA - Social media marketing with campaign strategy and paid advertising tactics
Programming (5 agents)
- AI Agents Builder - OpenAI Assistants API, LangChain, CrewAI with multi-agent orchestration
- LLM Engineer - Fine-tuning, RAG architecture, embeddings, and production deployment
- Data Scientist - ML/AI with PyTorch, TensorFlow, XGBoost, and MLOps pipelines
- PRD Business Analyst - User stories, technical specifications, and API contracts
- SQL and DevOps Engineer - Database optimization, Kubernetes, Terraform, and observability
Research & Analysis (3 agents)
- AI Strategist - AI readiness assessments, use case identification, and governance frameworks
- Startup Consultant - Business model validation, fundraising strategy, and financial modeling
- Strategy Consultant - Porter's Five Forces, SWOT, PESTEL, and competitive positioning
Writing (2 agents)
- AI Text Humaniser - Transform AI content into natural writing while eliminating detection markers
- FAANG Resume Coach - ATS optimization, STAR stories, and behavioral interview preparation
Claude Code Skills
50 production-ready skills for Claude Code, organized into domain-specific categories.
graph LR subgraph "Claude Code Skills (50)" A[Software Development] --> A1[Frontend<br/>Backend<br/>Architecture] B[AI/ML Engineering] --> B1[LLM Engineering<br/>Agents<br/>Data Science] C[DevOps & Platform] --> C1[Database<br/>Platform<br/>Document Automation] D[Quality & Testing] --> D1[Code Review<br/>Testing<br/>Debugging<br/>Refactoring] E[Documentation] --> E1[API Design<br/>Codebase Audit<br/>Technical Writing] end style A fill:#3498DB style B fill:#9B59B6 style C fill:#E67E22 style D fill:#2ECC71 style E fill:#34495E,color:#fff
Installation
Copy the entire .claude/skills/ directory to your Claude Code workspace:
# Clone the repository git clone https://github.com/vasilyu1983/AI-Agents-public cd AI-Agents-public # Copy skills to Claude Code cp -r frameworks/claude-code-kit/initial-setup/skills ~/.config/claude-code/skills/
Frameworks
Three complete development kits for different AI platforms:
Claude Code Kit
Complete .claude/ workspace with 50 skills covering software development, AI/ML, DevOps, and quality engineering.
Copy-paste ready: Drop the initial-setup/ directory into your Claude Code workspace.
Codex Kit
Router-based system for Codex CLI with intelligent agent dispatch and workflow orchestration.
Gemini Kit
Gemini-optimized router system with platform-specific adaptations.
See frameworks documentation →
Quick Start
Using a Custom GPT Agent
- Browse the agent catalog to find an agent
- Navigate to the agent folder (e.g.,
custom-gpt/productivity/Prompt Engineer/) - Copy content from
01_agent-name.md(guaranteed <8000 chars) - Create new Custom GPT in ChatGPT
- Paste into Instructions field
- Upload
02_sources-*.jsonas knowledge file (optional)
Installing Claude Code Skills
# Clone repository git clone https://github.com/vasilyu1983/AI-Agents-public # Install all skills cp -r frameworks/claude-code-kit/initial-setup/skills ~/.config/claude-code/skills/ # Verify installation ls ~/.config/claude-code/skills/
Using with Claude Projects
- Create new Claude Project
- Add
01_agent-name.mdas project knowledge - Add supplemental files (
02_sources-*.json) if available - Reference in custom instructions
Prompt Engineering Framework
All agents built on Master Template v3.5 with 13 standardized sections:
- VARS - Configuration variables
- IDENTITY - Role definition
- CONTEXT - Background knowledge
- CONSTRAINTS - Boundaries and requirements
- PRECEDENCE & SAFETY - Security protocols
- OUTPUT CONTRACT - Format specifications
- FRAMEWORKS - Reasoning frameworks
- WORKFLOW - Execution process
- ERROR RECOVERY - Edge case handling
- TOOLS & UI - Tool usage guidelines
- MEMORY - State management
- COMMANDS - Slash commands
- EXEMPLARS - Real-world examples
Template Features
graph TB A[Master Template v3.5] --> B[4 Deployment Modes]
Pros
- Wide variety of specialized agents and skills
- Production-ready and optimized for real-world use
- Multi-platform support enhances usability
- Structured templates facilitate easy customization
Cons
- Complexity may overwhelm new users
- Limited guidance on advanced customization
- Dependency on external platforms for full functionality
Related Skills
pytorch
S“It's the Swiss Army knife of deep learning, but good luck figuring out which of the 47 installation methods is the one that won't break your system.”
agno
S“It promises to be the Kubernetes for agents, but let's see if developers have the patience to learn yet another orchestration layer.”
nuxt-skills
S“It's essentially a well-organized cheat sheet that turns your AI assistant into a Nuxt framework parrot.”
Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author vasilyu1983.
