synthesize

Synthesize project analysis outputs into a structured REPORT.md with literature context.

14|11|Updated Jan 15, 2026

Search Tags:#reporting #synthesis #literature review #research automation #data interpretation #scientific writing

Ready to run

npx skills add https://github.com/kbaseincubator/BERIL-research-observatory --skill synthesize-kbaseincubator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: synthesize
Source: https://github.com/kbaseincubator/BERIL-research-observatory/tree/main/.claude/skills/synthesize
Command: npx skills add https://github.com/kbaseincubator/BERIL-research-observatory --skill synthesize-kbaseincubator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of interpreting analysis results, comparing them against existing literature, and drafting comprehensive findings for a project report, significantly accelerating the research write-up phase.

Core Features & Use Cases

Automated Interpretation: Reads analysis outputs (CSV, figures, notebook results) to identify key findings and statistical significance.
Literature Cross-Referencing: Integrates with a literature review process to contextualize findings against published research.
Report Generation: Drafts structured reports including key findings, results, interpretation, literature context, novel contributions, limitations, data sources, and supporting evidence.
Use Case: After running several analysis notebooks on a new dataset, use this Skill to automatically synthesize the results, compare them to known literature, and generate a draft of the project's REPORT.md and update the README.md status.

Quick Start

Use the synthesize skill to draft findings for project alpha.

Frequently Asked Questions about synthesize

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

FAQPage Schema

How do I automate writing a research report from analysis outputs?▼

Automate research report generation by parsing analysis outputs, figures, and notebook results to draft a structured REPORT.md and update README.md with key findings and interpretations.

How does literature cross-referencing work for scientific writing automation?▼

Literature cross-referencing integrates with a literature review process to compare your analysis findings against published research, contextualizing results and identifying novel contributions within the generated report.

Can I use this to synthesize CSV files and notebook results into a project report?▼

Yes, you can synthesize CSV files, figures, and notebook results by reading project context files and parsing various data formats to automatically generate a comprehensive interpretation and evidence-based summary.

What is the best way to draft findings from data interpretation and statistical analysis?▼

Draft findings from data interpretation by automatically identifying key results and statistical significance from analysis outputs, then structuring them with literature context and limitations into a report.

What sections are included in an automated literature review and findings report?▼

An automated literature review and findings report includes key findings, results, interpretation, literature context, novel contributions, limitations, data sources, and supporting evidence within a structured REPORT.md.