report-writing

Compile research reports from metamaterial design artifacts with figures and tables.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/DaryLu0v0/MetaClaw --skill report-writing-darylu0v0
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: report-writing
Source: https://github.com/DaryLu0v0/MetaClaw/tree/main/skills/report-writing
Command: npx skills add https://github.com/DaryLu0v0/MetaClaw --skill report-writing-darylu0v0

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams produce complete, publication-ready reports from metamaterial design artifacts, saving time and ensuring consistency across documents.

Core Features & Use Cases

  • Automated Report Assembly: Consolidates methodology, simulation setup, results analysis, and figures into a single document.
  • Artifact Integration: Gathers configs, results, and design notes to ensure traceability.
  • Use Case: After completing CST tuning or ML design, generate a polished final report for publication or submission.

Quick Start

Generate a publication-ready report from the completed metamaterial design project artifacts.

Frequently Asked Questions about report-writing

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

FAQPage Schema
How do I generate a publication-ready report from metamaterial design project artifacts?

To generate a publication-ready report from metamaterial design project artifacts, this skill compiles methodology, simulation setup, results analysis, and figures into a single document, ensuring reproducibility by sourcing data from evaluator outputs and TargetConfig.

Can I compile CST tuning simulation results and methodology into a single document automatically?

Yes, you can compile CST tuning simulation results and methodology into a single document automatically. The skill consolidates simulation setup, results analysis, and publication-ready figures sourced from your project's evaluator outputs.

How do I ensure reproducibility when assembling a research report from evaluator outputs?

To ensure reproducibility when assembling a research report, this skill gathers configs, results, and design notes from evaluator outputs and TargetConfig, integrating these artifacts to maintain full traceability across the publication-ready document.

What is the best way to integrate ML design workflow data into a final research report?

The best way to integrate ML design workflow data into a final research report is to apply this skill to your completed workflows, which extracts data from evaluator outputs and TargetConfig to produce a document with reproducible details, tables, and plots.

Does this report generation skill reference literature notes during the compilation process?

Yes, this report generation skill references any available literature notes during the compilation process, integrating them alongside methodology, simulation setup, and results analysis to produce a complete, publication-quality document.

What data sources are required to produce publication-quality figures and tables for metamaterial projects?

The required data sources to produce publication-quality figures and tables for metamaterial projects are the evaluator outputs and the TargetConfig, which the skill uses to ensure all compiled results and plots are fully traceable and reproducible.