Repositorymartinholovsky/SOTA-skillsTool
AI coding assistants frequently drop critical requirements like rate limiting, tests, and structured logging as context windows grow. Modular skill routing preserves engineering standards throughout long-running tasks.
Martin Holovsky's repository addresses context degradation in AI coding agents. By restricting individual instruction files to under 500 lines and loading rules conditionally, the system keeps essential standards active without polluting context memory. Installation is handled through Claude Code plugins or a shell-based symlink script. With 22 stars and two forks as of October 2026, the project is still at an early adoption stage, but its documented evaluation results and dual BUILD/AUDIT modes make it a practical tool for teams standardising agent workflows.
Summary generated by AI (Gemini 3.8 Flash, 7 October 2026). It may contain errors – the original source is authoritative.
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