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Extract atomic insights from raw source material. Takes articles, transcripts, meeting notes, or any unstructured input and produces structured claims with provenance metadata. The foundational extraction step of the 6R processing pipeline.
Passed 21 of 21 test cases with the skill, and 6 of 21 without it.
and 18 more in the full report
16 fixed6 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
Extract atomic claims from this note: 'John needs to refactor the payment gateway auth handler by Friday.' Format the result in standard claim block format.
| Checked | Without skill | With skill |
|---|---|---|
| Claim block classifies the item type as action-item. | Missed | Passed |
The instructions your model reads when the skill loads.
Extract insights from source material into atomic, reusable claims.
Transform raw input (articles, transcripts, notes, documents) into structured atomic claims — each with provenance, confidence, and topic tags. This is the core extraction step: it turns noise into signal. Every claim stands alone and can be recombined later.
# Reduce a file
/reduce path/to/transcript.md
# Reduce inline text
/reduce --text "Ed called about pricing. He wants $2K per seat for enterprise..."
# Reduce with explicit source metadata
/reduce path/to/article.md --source "HBR" --date 2026-03-15
# Reduce with depth control
/reduce path/to/paper.pdf --depth deep
# Reduce multiple files
/reduce path/to/*.md --batch
| Flag | Type | Default | Description |
|---|---|---|---|
<input> | positional | required | File path, glob pattern, or --text for inline |
--text | string | — | Inline text to reduce (alternative to file input) |
--source | string | auto-detect | Source attribution (author, publication, URL) |
--date | date | today | Date of the source material |
--depth | enum | standard | quick (key points only), standard (claims + context), deep (claims + evidence + counterpoints) |
--format | enum | atomic | atomic (one claim per block), outline (hierarchical), table (comparison grid) |
--max-claims | int | 50 | Maximum number of claims to extract |
--tags | string[] | auto | Topic tags to apply (auto-detected if omitted) |
--batch | flag | false | Process multiple files, one output per input |
test cases passed, vs 6 / 21 without
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