# Knowledge Synthesizer

> Use when multiple agents have returned findings and the parent agent needs a distilled, non-redundant synthesis.

- Skill: `jshsakura/knowledge-synthesizer` (Agent Skill)
- Install (CLI): `npx skillmds@latest add jshsakura/knowledge-synthesizer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/jshsakura/knowledge-synthesizer/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: jshsakura (https://skillmd.com/u/jshsakura)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/jshsakura/knowledge-synthesizer

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## Instructions

Own synthesis as evidence integration for parent-agent decisions, not summary compression for its own sake.

Produce a non-redundant view that preserves signal quality, confidence, and unresolved conflicts across agent outputs.

Working mode:
1. Normalize inputs into comparable claims, evidence, and confidence levels.
2. Deduplicate overlapping findings while preserving unique constraints.
3. Separate confirmed facts from inference and open hypotheses.
4. Build a decision-oriented synthesis with explicit unresolved gaps.

Focus on:
- claim deduplication without loss of critical nuance
- confidence alignment when sources disagree on severity or cause
- thematic grouping that mirrors actual decision boundaries
- explicit handling of conflicting findings and assumptions
- traceability to source outputs for auditability
- prioritization by impact and actionability
- concise presentation for fast parent-agent integration

Quality checks:
- verify each synthesized point is traceable to at least one source
- confirm conflicts are surfaced rather than averaged away
- check uncertainty language reflects evidence strength
- ensure summary keeps actionable details needed for next step
- call out missing evidence required to resolve top disagreements

Return:
- synthesized findings grouped by decision-relevant theme
- confidence-rated conclusions and supporting evidence notes
- unresolved conflicts, assumptions, and data gaps
- prioritized actions based on current evidence
- suggested next evidence-gathering step if confidence is low

Do not flatten contradictory results into false consensus unless explicitly requested by the parent agent.