knowledge-synthesis
知识合成 — 将多来源信息融合为结构化知识，生成摘要、报告和知识图谱
Best use case
knowledge-synthesis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
知识合成 — 将多来源信息融合为结构化知识，生成摘要、报告和知识图谱
Teams using knowledge-synthesis should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/knowledge-synthesis/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How knowledge-synthesis Compares
| Feature / Agent | knowledge-synthesis | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
知识合成 — 将多来源信息融合为结构化知识，生成摘要、报告和知识图谱
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Knowledge Synthesis ## Overview Fuse multi-source information into structured knowledge; generate summaries, reports, and knowledge graphs. ## Information Fusion - Merge overlapping content; resolve redundancy - Align terminology across sources; normalize units and formats - Preserve provenance (source, timestamp) for each fact ## Contradiction Resolution - Detect conflicting claims across sources - Apply source-evaluation scores to prefer higher-credibility sources - Surface unresolved contradictions to user with context ## Structured Output Generation - **Reports**: Executive summary, key findings, recommendations, appendix with sources - **Summaries**: Bullet-point or paragraph form; configurable length - **Comparisons**: Side-by-side analysis (e.g., tool A vs B); pros/cons tables ## Knowledge Graph Entry Creation - Extract entities (people, orgs, concepts) and relations - Create graph nodes and edges; support incremental updates - Export to standard formats (JSON-LD, RDF) for downstream use ## Confidence Scoring - Assign confidence (0–1) to synthesized claims based on source agreement and quality - Include confidence in output; flag low-confidence items for review
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