#151 · Primary category: AI Agents & Automation

Agent-Skills-for-Context-Engineering

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.

Project last updated:08/19/26

GitHub Stars

17.9K

Forks

1.5K

Contributors

12

License

MIT

Why we included this project

Context engineering is the discipline of managing everything that enters the model's attention window, and this collection of skills is a good place to learn it. Instead of a single tool, it's a structured set of skills that walk through the anatomy of context, common failure modes like lost-in-the-middle and context poisoning, and how to design agent operating loops that keep high-signal tokens in front of the model. The material is organized so you can jump straight to the skill you need when debugging a specific degradation pattern, and it's platform-agnostic, so the lessons apply whether you're working with Claude Code, Cursor, or your own harness. It's also been cited in academic surveys on agent harness engineering, a decent signal that the material is substantive rather than a list of tips. If you're optimizing long-running agents or building evaluation frameworks, the skills here apply directly.

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