map-reduce

SKILL.md

Some tasks are too large for single-pass processing: analyze every file in a codebase, check all endpoints for issues, transform all components to new pattern. Map-Reduce handles this: split the work (map), process in parallel, combine results (reduce). It's batch processing for Claude.

Count: Total items matching criteria Sum: Aggregate numeric values Group: Categorize by attribute Filter: Surface items matching condition Top-N: Highest/lowest by metric Histogram: Distribution across buckets Merge: Combine into single artifact

User: "How complex is our codebase? Get metrics on all files."

Orchestration pattern for large-scale processing where work is distributed, processed independently, then combined. Map phase splits and processes, Reduce phase aggregates results. Use for codebase-wide analysis, bulk transformations, or any task where "do X to everything, then summarize." Source: elliotjlt/claude-skill-potions.

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