Verified:GitHub

knowledge-synthesis

Consolidate search results into deduplicated answers with source attribution.

1|Updated Mar 19, 2026

Search Tags:#summarization #deduplication #confidence-scoring #source-attribution #knowledge-synthesis #enterprise-search

Ready to run

npx skills add https://github.com/cy-wali/knowledge --skill knowledge-synthesis-cy-wali

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: knowledge-synthesis
Source: https://github.com/cy-wali/knowledge/tree/main/enterprise-search/skills/knowledge-synthesis
Command: npx skills add https://github.com/cy-wali/knowledge --skill knowledge-synthesis-cy-wali

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidates results from multiple sources into a coherent, deduplicated answer with source attribution.

Core Features & Use Cases

Cross-source deduplication and consolidation of results
Source attribution and confidence scoring based on freshness and authority
Summarization of large result sets for quick decision-making
Use Case: Produce a decision-ready brief from search results across chat, email, docs, and trackers.

Quick Start

Summarize the provided search results into a single, deduplicated answer with source attributions.

Frequently Asked Questions about knowledge-synthesis

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

FAQPage Schema

How do I consolidate multiple search results into a single deduplicated answer?▼

To consolidate search results into a deduplicated answer, you need structured synthesis rules that perform cross-source deduplication, apply confidence scoring by freshness and authority, and format outputs with explicit source attribution.

What is knowledge synthesis for enterprise search workflows?▼

Knowledge synthesis for enterprise search is the process of consolidating large result sets across chat, email, and docs into traceable, decision-ready briefs with confidence scoring and source references.

How do I summarize large search result sets for quick decision-making?▼

Summarize large result sets by applying concise summarization rules that deduplicate cross-source matches, score confidence based on authority and freshness, and output auditable briefs with source attribution.

How does confidence scoring work when consolidating search results?▼

Confidence scoring evaluates result freshness and source authority during knowledge synthesis to rank deduplicated information, ensuring the final consolidated output prioritizes the most reliable data.

Can I produce a decision-ready brief from scattered chat, email, and tracker results?▼

Yes, you can produce a decision-ready brief by running cross-source deduplication and concise summarization across chat, email, and tracker results to generate an auditable output with explicit source references.

What is the best way to ensure traceable and auditable outputs from multiple search sources?▼

Ensure traceable outputs by applying structured synthesis rules that mandate source attribution for every consolidated claim, producing auditable answers that explicitly reference their original documents.