Design agent tool APIs with clear descriptions and consolidated architectures.
npx skills add https://github.com/boazcstrike/opencode --skill tool-design-boazcstrike
Please help me install this Agent Skill. Skill: tool-design Source: https://github.com/boazcstrike/opencode/tree/main/skills/tool-design Command: npx skills add https://github.com/boazcstrike/opencode --skill tool-design-boazcstrike
This Skill addresses the challenges of designing effective tools for AI agents, ensuring clear contracts, reducing complexity, and improving agent interaction with deterministic systems.
Use the tool-design skill to create a new tool description for an agent that needs to search for customer data.
High-intent search queries and answers about installing and using this skill.
Design agent tool APIs by creating robust, unambiguous interfaces for language models. This involves applying the consolidation principle to simplify tool sets and reduce ambiguity, ensuring clear contracts between the agent and deterministic systems.
The consolidation principle in agent tool design is a method to simplify tool sets and reduce architectural ambiguity. By applying this principle, you create minimalist tool architectures that offer greater flexibility and improve agent interaction with deterministic systems.
Write clear tool descriptions by focusing on robust and unambiguous tool interfaces. Guide the design process by defining explicit tool contracts and optimizing response formats, ensuring the language model understands exactly how to interact with your deterministic systems.
Handle error message design by creating clear feedback mechanisms for agent recovery. Optimize response formats and tool APIs to ensure that when an agent encounters an error, the deterministic system provides actionable feedback for the agent to recover and continue the task.
Architectural reduction improves agent-tool interface flexibility by exploring minimalist tool architectures. Simplifying the tool set reduces complexity and ambiguity, resulting in more robust and efficient interfaces for language models to interact with deterministic systems.
Optimize response formats for agent tools when creating new tool APIs or refining existing ones. This optimization is needed to ensure robust and efficient interaction between the AI agent and deterministic systems, particularly when defining clear contracts and designing error messages.
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