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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