template-skill

The template-skill serves as the foundational boilerplate for developers aiming to extend the capabilities of the Mini-Agent ecosystem. Designed for engineers and system integrators, this template provides the structural scaffolding required to create modular, repeatable, and specialized agent behaviors. By following this template, developers can ensure their custom tools adhere to the architectural standards of the Mini-Agent framework, facilitating seamless interaction between the LLM and the local environment.

• Standardized structure for instructions and metadata through the SKILL.md interface.

• Capability to encapsulate complex logic, shell commands, or external API calls into a single, invocable skill.

• Support for interleaved thinking and reasoning patterns compatible with the MiniMax M2.5 model.

• Integration ready for standard Python-based environments using uv package management.

• Consistent design that allows the agent to dynamically load and unload specialized functions based on user requests.

• Utilize this template when you need to automate repetitive development workflows or create specialized data processing pipelines.

• Ensure your implementation includes clear instructions in the associated SKILL.md file to guide the model's tool selection process.

• Use descriptive naming conventions for function arguments to improve the agent's ability to interpret task requirements correctly.

• Inputs typically involve task-specific parameters (e.g., file paths, configuration settings), while outputs are structured as ToolResult objects for the agent to process.

• Keep logic self-contained within the skill directory to maintain repository hygiene and facilitate modular testing with the framework's existing testing suites.

• Monitor tool execution via the built-in logging system to debug agent reasoning steps and identify potential bottlenecks in the task execution loop.