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Skill Acquisition: Enhancing Your Agent's Capabilities
Introduction
- Understanding the Importance of Skill Acquisition
- The Concept of Skills in AutoGPT
Section 1: Identifying Necessary Skills
- Analyzing the Requirements for Your Agent
- Categorizing Skills: Core vs. Supplementary
Section 2: Developing Skills for Your Agent
- Integrating Existing Skills from the Forge
- Developing Custom Skills: A Step-by-step Guide
Section 3: Implementing and Executing Skills
- Utilizing the Agent Protocol for Skill Implementation
- Executing Skills: Task and Step Execution
- Example: Developing and Executing a Skill using Task and Step Schemas
Section 4: Encoding Skills in Prompts for LLM Selection
- Understanding the Concept of Prompt Engineering
- Strategies for Effective Skill Encoding in Prompts
- Practical Examples: Encoding Various Skills in Prompts
Section 5: Testing and Debugging Skills
- Employing Test-Driven Development for Skill Testing
- Debugging Common Issues in Skill Implementation
Conclusion
- Recap of the Tutorial
- Preparing Your Agent for Skill Integration and Enhancement
Additional Resources
- Links to Documentation and Skill Development Guides
- Community Discussions on Skill Development
Appendix
- Examples of Skill Implementations
- Glossary of Skill-Related Terms