Agent-Skills-for-Context-Engineering
Design, optimize, and evaluate long-running agent systems with reusable skills.
Design, optimize, and evaluate long-running agent systems with reusable skills.
Apply a focused set of skills to context degradation, compression, memory design, tool interfaces, multi-agent coordination, and long-horizon task execution. The repository also covers operational concerns such as evaluation, LLM-as-a-judge methods, harness safeguards, and self-improvement loops. Complete examples show how several skills can be combined into larger agent systems across different hosts.
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Guides coding agents through clarification, planning, implementation, testing, review, and branch completion.
Run product work from discovery through review, QA, and release in Claude Code.
Runtime
Public GitHub facts last synced Jul 14, 2026.
Add Vercel's official engineering skills to AI coding agents.
Install reusable skills for engineering, research, operations, marketing, and business work.