Extract structured domain knowledge into classified vault notes.
npx skills add https://github.com/lightningfastsls/London_Lab --skill reduce-lightningfastsls
Please help me install this Agent Skill. Skill: reduce Source: https://github.com/lightningfastsls/London_Lab/tree/main/.claude/skills/reduce Command: npx skills add https://github.com/lightningfastsls/London_Lab --skill reduce-lightningfastsls
Extract structured knowledge from source material. Comprehensive extraction is the default — every insight that serves the domain gets extracted. For domain-relevant sources, skip rate must be below 10%. Zero extraction from a domain-relevant source is a BUG. Triggers on "/reduce", "/reduce [file]", "extract insights", "mine this", "process this".
Provide a source document to begin structured extraction into vault notes.
High-intent search queries and answers about installing and using this skill.
To extract structured knowledge, provide a source document to trigger comprehensive extraction into atomic notes covering core claims, patterns, tensions, validations, enrichments, and open questions for your domain vault.
Managing cross-linking and duplicate detection is handled through a configurable pipeline that identifies related notes, creates enrichment tasks for added depth, and links extractions to prevent redundant domain insights.
You classify extracted notes by tagging them as OPEN or CLOSED, which directly guides follow-up work and tracks the integration status of the structured knowledge within your domain vault.
Yes, comprehensive extraction is the default behavior, targeting a skip rate below 10% for domain-relevant sources. Zero extraction from a relevant source is treated as a bug to ensure complete knowledge extraction.
Yes, knowledge extraction supports downstream enrichment by identifying related notes and creating enrichment tasks whenever a source adds new depth, evidence, or examples to the existing domain insights.
Zero insights from a domain-relevant source indicates a bug in the notes-management extraction process, which is designed to comprehensively extract all domain-serving insights with a skip rate below 10%.
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