Designing Coding Agent Skills That Actually Work
The article discusses the author's experience in designing effective skills for AI coding agents. It highlights the challenges faced when agents misbehave and the author's shift in approach to skill design. By focusing on constraining tools rather than the agents themselves, the author aims to create more reliable and predictable outcomes.
- ▪The author has spent months building and optimizing skills for AI coding agents like Claude Code and VScode Copilot.
- ▪A key insight is that when agents misbehave, it's more effective to constrain the tools they use rather than the agents themselves.
- ▪The author designed a skill called confluence-publisher to address the lack of corporate access to a Confluence server.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 227877) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } erfankashani Posted on May 30 Designing Coding Agent Skills That Actually Work #vscodecopilot #runnerhchallenge #ai #agents I've spent the last few months obsessed with AI coding agents. Not just using them. Building alongside them and optimizing them for my use-cases. I've designed and tested various skills for agents like Claude Code, VScode Copilot, Codex, and Cursor, and I've watched closely to see where they hold up and where they quietly fall apart. And they do fall apart.
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