knowledge-synthesis

Synthesize multi-source search results into deduplicated answers with source attribution.

2|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/miptah21/skills --skill knowledge-synthesis-miptah21
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: knowledge-synthesis
Source: https://github.com/miptah21/skills/tree/main/.agents/skills/knowledge-synthesis
Command: npx skills add https://github.com/miptah21/skills --skill knowledge-synthesis-miptah21

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of transforming scattered, redundant, multi-source search results into a coherent answer you can trust.

Core Features & Use Cases

  • Cross-source deduplication: Merges the same underlying information found in different places while preserving unique details.
  • Evidence-based citation: Requires every claim to be attributable to a specific source (e.g., chat, email, documents).
  • Confidence scoring and summarization: Assesses freshness and authority, ranks themes by relevance, and summarizes large result sets effectively.
  • Conflict surfacing: Identifies and presents disagreements rather than silently choosing one version.

Quick Start

Synthesize the provided results into a single, deduplicated answer with inline attributions and a consolidated Sources list.

Frequently Asked Questions about knowledge-synthesis

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

FAQPage Schema
How do I synthesize multiple search results into a single deduplicated answer?

Synthesize search results by merging redundant information through semantic overlap, clustering themes, ranking relevance, and generating a narrative summary with strict source attribution and conflict surfacing.

What is the best way to deduplicate enterprise docs and track decisions across sources?

Deduplicate enterprise docs by identifying semantic overlap across heterogeneous result sets, preserving unique details, and applying confidence scoring based on document freshness and authority.

Can I surface conflicting information and assess confidence from enterprise search results?

Yes, conflict surfacing identifies and presents disagreements across sources rather than silently choosing one, while confidence assessment evaluates freshness and authority to score the reliability of claims.

How does source attribution work when summarizing large heterogeneous search results?

Source attribution requires every claim in the consolidated narrative to be linked to a specific source, such as chat, email, or documents, producing a consolidated list for verifiable evidence.

Does knowledge synthesis work for decision tracking and documentation updates?

Yes, knowledge synthesis applies to enterprise retrieval scenarios like decision tracking and documentation updates, processing large heterogeneous result sets to produce coherent, confidence-aware summaries.

What are the limitations of confidence-aware narrative summarization for search results?

Narrative summarization relies on the freshness and authority of provided sources to determine confidence, meaning incomplete or poorly attributed input data will yield lower confidence assessments and require manual conflict resolution.