skill Skill
description: Use this skill whenever the user asks to explain, analyze, or detail how another skill works, its core mechanisms, design rationale, or wants to learn tips and tricks for using it effectively.
Want an agent-native computer in the browser? Try HappyCapy.
Cloud sandbox for AI agents · No setup · Run autonomous workflows from your browser
Affiliate link — we may earn a commission at no extra cost to you.
Why use this skill
skill is most useful when you want an agent workflow that is more structured than an ad-hoc prompt. Instead of restating the same expectations every time, a dedicated SKILL.md file gives the assistant a repeatable brief. In this case, the core value is clarity: the repo already frames the workflow around utility skills tasks, and the skill source gives you a portable starting point you can evaluate, adapt, and reuse. The inferred platform for this skill is Generic Skills, which helps you judge whether it is likely to feel native in your current agent ecosystem or whether it is better treated as a general reference.
That matters because AI assistants are better when the operating context is explicit. A good skill turns hidden team expectations into visible instructions. It can name preferred tools, describe failure modes, define what “done” looks like, and reduce the amount of corrective prompting you need after the first draft. For developers exploring the wider SKILL.md ecosystem, this page helps answer the practical question: is this skill specific and maintained enough to be worth trying?
How to evaluate and use it
Start with the source repo and the preview below. The preview tells you whether the instructions are actionable or just aspirational. Strong skills usually describe triggers, recommended tools, steps, and known pitfalls. Weak skills tend to stay generic. This one lives in distums/explain-skill, which gives you a concrete repo context, update history, and direct ownership trail.
Once you confirm the scope looks right, test it on a small task before making it part of a larger workflow. If it improves consistency, keep it. If it is too broad, outdated, or conflicts with your own process, treat it as a reference rather than a drop-in rule. That is the healthiest way to use directory-discovered skills: not as magic plugins, but as reusable operational knowledge that still deserves judgment.
SKILL.md preview
Previewing the source is one of the fastest ways to judge whether a skill is truly useful. This snippet comes from the public file in the linked repository.
--- name: explain-skill description: Use this skill whenever the user asks to explain, analyze, or detail how another skill works, its core mechanisms, design rationale, or wants to learn tips and tricks for using it effectively. --- # Explain Skill This skill is designed to help you analyze and explain another skill in the user's workspace. When invoked, follow these steps to provide a comprehensive explanation of the target skill. ## 1. Read Target Skill - Identify the target skill from the user's request. - Use the `view_file` tool to read the target skill's `SKILL.md` file (typically located in `<appDataDir>/skills/<target-skill>/SKILL.md`). - If the skill has other important files (like scripts or reference files), read those as well to gain a deep understanding. ## 2. Analysis & Output Output your analysis to the user using the following structured format constraint: ### 🎯 1. Purpose Briefly and clearly explain what the target skill does and in what scenarios it is designed to be triggered. If it solves a specific problem, describe what that problem is. ### ⚙️ 2. Core Mechanism & Design Rationale - **Core Mechanism**: Detail the step-by-step workflow, tools used, and the overall logic of the skill. How does it get things done? - **Design Rationale**: Explain the "why" behind the mechanism. Highlight how it is designed to ensure the mechanism works correctly (e.g., how it handles edge cases, specific prompt engineering techniques to avoid AI hallucinations, its approach to progressive disclosure, or fail-safes). ### 💡 3. Tips & Clever Tricks - **Tips**: Share ...