Aggregate 3–30 research artifacts into a structured pack with provenance.
npx skills add https://github.com/LichAmnesia/lich-skills --skill wiki-aggregate
Please help me install this Agent Skill. Skill: wiki-aggregate Source: https://github.com/LichAmnesia/lich-skills/tree/main/skills/wiki-aggregate Command: npx skills add https://github.com/LichAmnesia/lich-skills --skill wiki-aggregate
Aggregates N raw research artifacts into a single structured pack with cross-source provenance so you don't lose intermediate evidence in summaries.
Aggregate your 3–30 raw notes into a single structured pack by using the lite-aggregator loop and review the generated brief.md, findings.md, sources.tsv, and _aggregation_log.md.
High-intent search queries and answers about installing and using this skill.
Cross-source provenance tracking records the exact origin of evidence when aggregating multiple research artifacts. It uses path:line references in a notes scratchpad so you never lose intermediate evidence during synthesis.
To aggregate research notes, use a lite agent workflow with inspect, search, and synthesize tools to extract evidence from 3–30 sources. It generates a structured pack containing brief.md, findings.md, sources.tsv, and an aggregation log.
Yes, this aggregation method supports 3–30 raw notes, transcripts, or analyses. It applies cross-source consistency checks and surfaces contradictions across all supported source types until coverage criteria are met.
The best way to maintain an audit trail is to generate an _aggregation_log.md alongside your findings. This tracks subtopics and provenance entries, providing a reproducible record for later re-analysis of your evidence pack.
Summarizing loses intermediate evidence because it concatenates content instead of tracking origins. This aggregation method avoids that by using lightweight tools to extract evidence and build a notes scratchpad with path:line provenance.
Yes, cross-source aggregation requires no external dependencies. It operates as a lite agent workflow using internal inspect, search, and synthesize tools to process your artifacts and build the structured output pack.
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