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knowledge-synthesis

Combine and deduplicate search results into source-attributed answers with confidence scores.

1|Updated Mar 30, 2026
Search Tags:#summarization#deduplication#synthesize#clustering#confidence-scoring#source-attribution#enterprise-search
One-click install
npx skills add https://github.com/ilove323/comlan-skills --skill knowledge-synthesis-ilove323
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge-synthesis
Source: https://github.com/ilove323/comlan-skills/tree/main/enterprise-search/skills/knowledge-synthesis
Command: npx skills add https://github.com/ilove323/comlan-skills --skill knowledge-synthesis-ilove323

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enterprise-scale searches return fragmented, duplicated, and sometimes conflicting signals across chat, email, documents, and trackers, making it hard to know what actually happened or who decided what. This Skill turns disparate search results into a coherent narrative with clear source attribution and confidence indicators so stakeholders can act with clarity.

Core Features & Use Cases

  • Cross-source deduplication: Detect and merge repeated facts appearing in multiple sources while preserving unique details from each.
  • Source attribution & confidence scoring: Attach origin details (channel, author, date) and compute confidence based on recency, authority, and agreement.
  • Clustering and summarization by scale: Group results by theme and produce tailored outputs for small, medium, and large result sets (detailed itemization, grouped summaries, or high-level findings).
  • Use case: Prepare a concise, sourced briefing that summarizes an engineering decision by synthesizing chat threads, emails, the latest design doc, and task tracker status.

Quick Start

Synthesize the provided search results about the API decision into a concise, sourced summary that deduplicates overlap, highlights conflicts, and assigns confidence levels.

Frequently Asked Questions about knowledge-synthesis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I synthesize enterprise search results from chat logs and emails into a summary?▼

To synthesize enterprise search results, this Skill deduplicates overlapping findings across chat logs and emails, then produces a concise summary with clear source attribution and confidence scoring.

What is the best way to deduplicate fragmented search results across cloud documents and trackers?▼

The best way to deduplicate fragmented search results is cross-source merging, which detects repeated facts across cloud documents and trackers while preserving unique details from each origin.

Can I get source attribution and confidence scores for summarized search findings?▼

Yes, you can get source attribution and confidence scores. It attaches origin details like author and date, computing confidence based on recency, authority, and agreement.

How does clustering handle large collections of project tracker entries?▼

Clustering handles large collections by grouping project tracker entries thematically, producing tailored high-level findings rather than detailed itemization used for smaller sets.

Why do my search results show conflicting signals across different sources?▼

Search results show conflicting signals because disparate sources often record differing details. This Skill surfaces those conflicts explicitly while synthesizing a coherent narrative.

When do I need source-attributed syntheses for enterprise search scenarios?▼

You need source-attributed syntheses when preparing concise briefings from disparate sources, ensuring stakeholders can trace facts and act with clarity on engineering decisions.

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