Best Practices for Building AI Agent Skills: Structure, Naming, and Context

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A developer published a technical guide on creating skills for AI agents, inspired by an online workshop led by educator Mouredev. Skills are modular components used to automate repetitive, well-defined processes, and can include prompts, rules, tools, and even other skills. They can be triggered explicitly by developers or implicitly by the agent itself, and each loaded skill consumes session context, making selective use important. Each skill must reside in a dedicated directory whose name matches the skill's identifier, and must contain a SKILL.md file with a YAML header defining required fields like name and description. Following naming conventions such as kebab-case and using SPDX license identifiers are among the key best practices outlined in the post.

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MeshDrive 2.0 gives AI agents isolated local file storage via MCP on Linux

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ProgrammingDEV Community ·

Best Practices for Defining AI Agent Skills: Structure, Naming, and Invocation

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

tanstack-fetch: A Typed Fetch Client Designed to Simplify TanStack Query HTTP Layer

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