knowledge-synthesis Skill
Combines search results from multiple sources into coherent, deduplicated answers with source attribution. Handles confidence scoring based on freshness and authority, and summarizes large result sets effectively. Published by anthropics in knowledge-work-plugins.
Decision snapshot
Is this a fit?
Deployment, Design and media, Research, Includes SKILL.md
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
23 days ago · Apache-2.0 license
No specific cautions were detected. Review the source and requested permissions before installing.
What is knowledge-synthesis Skill?
Combines search results from multiple sources into coherent, deduplicated answers with source attribution. Handles confidence scoring based on freshness and authority, and summarizes large result sets effectively. Published by anthropics in knowledge-work-plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Design and media
- Research
- Deployment use cases
- Design and media use cases
Declared skill metadata
- Source file: enterprise-search/skills/knowledge-synthesis/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use knowledge-synthesis Skill
- Use it for deployment.
- Use it for design and media.
- Use it for research.
Built with
Editorial notes
Source
- Creator: anthropics
- Repository: anthropics/knowledge-work-plugins
- Skill file: enterprise-search/skills/knowledge-synthesis/SKILL.md
What it does
Combines search results from multiple sources into coherent, deduplicated answers with source attribution. Handles confidence scoring based on freshness and authority, and summarizes large result sets effectively.
Skill instructions
Knowledge Synthesis The last mile of enterprise search. Takes raw results from multiple sources and produces a coherent, trustworthy answer. The Goal Transform this: ~~chat result: "Sarah said in eng: 'let's go with REST, GraphQL is overkill for our use case'" ~~email result: "Subject: API Decision — Sarah's email confirming REST approach with rationale" ~~cloud storage result: "API Design Doc v3 — updated section 2 to reflect REST decision" ~~project tracker result: "Task: Finalize API approach — marked complete by Sarah" Into this: The team decided to go with REST over GraphQL for the API redesign. Sarah made the call, noting that GraphQL was overkill for the current use case. This was discussed in engineering on Tuesday, confirmed via email Wednesday, and the design doc has been updated to reflect the decision. The related ~~project tracker task is marked complete. Sources: - ~~chat: engineering thread (Jan 14) - ~~email: "API Decision" from Sarah (Jan 15) - ~~cloud storage: "API De
Verified compatibility and discovery
Frequently asked questions
What is knowledge-synthesis?
knowledge-synthesis is a open-source AI agent skill with Copy skill directory. Combines search results from multiple sources into coherent, deduplicated answers with source attribution.
Who is knowledge-synthesis best for?
knowledge-synthesis is best for reusing agent instructions, scripts, and references, deployment workflows, design and media workflows, research workflows.
How do I install knowledge-synthesis?
Install or run knowledge-synthesis using Copy skill directory. Check knowledge-synthesis for the latest setup command.
Is knowledge-synthesis actively maintained?
knowledge-synthesis may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
