AI Agents Library Guide
A curated collection of 300+ production-grade AI agent system prompts. Each prompt is battle-tested, optimized for frontier LLMs, and ready for import into SperaxOS or any agent framework.
Library Structure
AI-Agents-Library/
├── crypto/ # 60+ crypto/DeFi agents
├── trading/ # 40+ trading strategy agents
├── research/ # 30+ research/analysis agents
├── coding/ # 25+ software development agents
├── writing/ # 20+ content creation agents
├── defi/ # 35+ DeFi-specific agents
├── security/ # 15+ security audit agents
├── data/ # 20+ data analysis agents
├── social/ # 15+ social media agents
├── education/ # 20+ teaching/tutoring agents
├── productivity/ # 20+ workflow/GTD agents
└── niche/ # 30+ specialized agents
Prompt Format
Each agent follows a consistent structure:
# Agent Name
## Identity
You are [Agent Name], a specialized AI agent that...
## Capabilities
- Capability 1
- Capability 2
- ...
## Instructions
1. Always...
2. When asked about X, do Y...
3. Never...
## Knowledge Base
- Protocol docs
- API references
- Domain expertise
## Output Format
Structured response format with...
## Examples
<example>
User: ...
Agent: ...
</example>
Categories Deep Dive
Crypto Agents (60+)
| Agent |
Specialty |
| DeFi Analyst |
Protocol TVL, APY, risk analysis |
| Token Researcher |
Tokenomics, team, roadmap evaluation |
| On-chain Detective |
Wallet tracking, flow analysis |
| Whale Watcher |
Large transaction monitoring |
| Airdrop Hunter |
Eligibility checking, farming guides |
| Gas Optimizer |
Transaction timing, gas strategies |
| NFT Valuator |
NFT pricing, rarity, market trends |
| DAO Governance |
Proposal analysis, voting recommendations |
| MEV Specialist |
MEV explanation, protection strategies |
| Stablecoin Expert |
USDs, USDC, DAI comparison and yield |
Trading Agents (40+)
| Agent |
Strategy |
| Technical Analyst |
Chart patterns, indicators, signals |
| Sentiment Trader |
Social sentiment → trade signals |
| Swing Trader |
Multi-day position management |
| Scalper |
Short-term, high-frequency signals |
| Quant Researcher |
Factor models, backtesting |
| Risk Manager |
Position sizing, stop losses |
| Market Structure |
Order flow, liquidity analysis |
DeFi Agents (35+)
| Agent |
Focus |
| Yield Optimizer |
Find best yields across protocols |
| LP Advisor |
Liquidity pool selection and management |
| Lending Strategist |
Supply/borrow optimization |
| Bridge Advisor |
Cross-chain transfer recommendations |
| Sperax Specialist |
USDs yield, SPA staking, Farms |
Importing into SperaxOS
Method 1: Direct Import
- Copy the system prompt from the library
- Use the Agent Builder tool in SperaxOS
- Paste as the agent's system prompt
- Configure model and tools
Method 2: Seeding Script
# Use the agent-seeding skill
bun run scripts/seed-agents.ts --source AI-Agents-Library/crypto/
Method 3: Marketplace
Published agents from the library are available in the SperaxOS skill marketplace under the "Community" section.
Quality Standards
Every prompt in the library meets these criteria:
| Standard |
Requirement |
| Tested |
Verified on GPT-4, Claude, Gemini |
| Structured |
Follows consistent format |
| Safe |
No harmful instructions |
| Useful |
Solves a real problem |
| Complete |
Self-contained, no external dependencies |
| Maintained |
Updated as models evolve |
Contributing
- Fork the repository
- Add your agent prompt following the template
- Test with at least 2 different LLMs
- Submit a PR with example conversations
Links
1---2name: ai-agents-library-guide3description: Guide to the AI Agents Library — a curated collection of 300+ production-grade AI agent system prompts ready for import. Covers DeFi, crypto, trading, research, coding, writing, and more. Each prompt is optimized for GPT-4, Claude, Gemini, and other frontier models.4license: MIT5---67# AI Agents Library Guide89A curated collection of 300+ production-grade AI agent system prompts. Each prompt is battle-tested, optimized for frontier LLMs, and ready for import into SperaxOS or any agent framework.1011## Library Structure1213```14AI-Agents-Library/15├── crypto/ # 60+ crypto/DeFi agents16├── trading/ # 40+ trading strategy agents17├── research/ # 30+ research/analysis agents18├── coding/ # 25+ software development agents19├── writing/ # 20+ content creation agents20├── defi/ # 35+ DeFi-specific agents21├── security/ # 15+ security audit agents22├── data/ # 20+ data analysis agents23├── social/ # 15+ social media agents24├── education/ # 20+ teaching/tutoring agents25├── productivity/ # 20+ workflow/GTD agents26└── niche/ # 30+ specialized agents27```2829## Prompt Format3031Each agent follows a consistent structure:3233```markdown34# Agent Name3536## Identity37You are [Agent Name], a specialized AI agent that...3839## Capabilities40- Capability 141- Capability 242- ...4344## Instructions451. Always...462. When asked about X, do Y...473. Never...4849## Knowledge Base50- Protocol docs51- API references52- Domain expertise5354## Output Format55Structured response format with...5657## Examples58<example>59User: ...60Agent: ...61</example>62```6364## Categories Deep Dive6566### Crypto Agents (60+)6768| Agent | Specialty |69|-------|----------|70| **DeFi Analyst** | Protocol TVL, APY, risk analysis |71| **Token Researcher** | Tokenomics, team, roadmap evaluation |72| **On-chain Detective** | Wallet tracking, flow analysis |73| **Whale Watcher** | Large transaction monitoring |74| **Airdrop Hunter** | Eligibility checking, farming guides |75| **Gas Optimizer** | Transaction timing, gas strategies |76| **NFT Valuator** | NFT pricing, rarity, market trends |77| **DAO Governance** | Proposal analysis, voting recommendations |78| **MEV Specialist** | MEV explanation, protection strategies |79| **Stablecoin Expert** | USDs, USDC, DAI comparison and yield |8081### Trading Agents (40+)8283| Agent | Strategy |84|-------|---------|85| **Technical Analyst** | Chart patterns, indicators, signals |86| **Sentiment Trader** | Social sentiment → trade signals |87| **Swing Trader** | Multi-day position management |88| **Scalper** | Short-term, high-frequency signals |89| **Quant Researcher** | Factor models, backtesting |90| **Risk Manager** | Position sizing, stop losses |91| **Market Structure** | Order flow, liquidity analysis |9293### DeFi Agents (35+)9495| Agent | Focus |96|-------|-------|97| **Yield Optimizer** | Find best yields across protocols |98| **LP Advisor** | Liquidity pool selection and management |99| **Lending Strategist** | Supply/borrow optimization |100| **Bridge Advisor** | Cross-chain transfer recommendations |101| **Sperax Specialist** | USDs yield, SPA staking, Farms |102103## Importing into SperaxOS104105### Method 1: Direct Import1061. Copy the system prompt from the library1072. Use the Agent Builder tool in SperaxOS1083. Paste as the agent's system prompt1094. Configure model and tools110111### Method 2: Seeding Script112```bash113# Use the agent-seeding skill114bun run scripts/seed-agents.ts --source AI-Agents-Library/crypto/115```116117### Method 3: Marketplace118Published agents from the library are available in the SperaxOS skill marketplace under the "Community" section.119120## Quality Standards121122Every prompt in the library meets these criteria:123124| Standard | Requirement |125|----------|------------|126| **Tested** | Verified on GPT-4, Claude, Gemini |127| **Structured** | Follows consistent format |128| **Safe** | No harmful instructions |129| **Useful** | Solves a real problem |130| **Complete** | Self-contained, no external dependencies |131| **Maintained** | Updated as models evolve |132133## Contributing1341351. Fork the repository1362. Add your agent prompt following the template1373. Test with at least 2 different LLMs1384. Submit a PR with example conversations139140## Links141142- GitHub: https://github.com/nirholas/AI-Agents-Library143- SperaxOS Agent Marketplace: https://app.sperax.io/agents144- Agent Seeding Skill: `.agents/skills/agent-seeding/SKILL.md`
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