Meta-skill for optimizing Claude Skill descriptions using SDS standard and data-driven analysis
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Updated
Jan 15, 2026
Meta-skill for optimizing Claude Skill descriptions using SDS standard and data-driven analysis
A production-grade, full-stack typing intelligence platform that operationalizes adaptive keystroke learning through dynamic content synthesis, real-time performance telemetry, and modular text generation pipelines—enabling precision skill acquisition, behavioral feedback loops, and scalable multi-language proficiency development.
Measurement-disciplined optimizer for Claude Agent Skills — three-gate system (stability, effect size, function preservation), anchored rubric, train/holdout split. Inspired by Karpathy's autoresearch and alchaincyf's darwin-skill.
Refactor any Claude Code skill by extracting deterministic operations into a Python script. Reduces SKILL.md size by 60-80% while preserving all AI judgment.
AI Era Employment Skill Optimization Analysis & Simulation
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