Context Prime is a workflow optimization skill designed to solve the problem of 'context pollution' in AI coding sessions. By categorizing tasks into specific types—such as bugs, features, reviews, chores, or research—it automates the discovery process using Git history, file system analysis, and targeted documentation reading. This ensures that Claude's context window is primed with only the most pertinent information, such as recent commits for bug fixes or architectural patterns for new features, leading to higher accuracy and more efficient token usage.
Key Features
01Intelligent Git status and commit history analysis
0238 GitHub stars
03Custom task support to infer context needs from natural language
04Type-aware discovery logic for automated project exploration
05Selective file loading based on task-specific heuristics
06Token efficiency reporting with estimated remaining capacity
