Does it support nested JSON files?

Yes, the skill is designed to traverse both flat and nested JSON structures, mapping categories to the appropriate report sections automatically.

How does it handle missing or uncertain data?

The skill automatically filters out fields containing '[uncertain]', items listed in the uncertain array, or empty values to ensure the final report is accurate.

How do I trigger the research report generation?

You can use the `/research-report` command within your Claude Code environment to initiate the automated workflow.

Can I choose which metrics appear in the table of contents?

Absolutely. During the process, the skill will ask you which fields (like GitHub stars or valuation) you want to include in the TOC for quick comparison.

What files does this skill produce?

It generates a specialized 'generate_report.py' script for the conversion and produces a final 'report.md' file within your specified topic directory.

Research Report Summary Generator

Name: Research Report Summary Generator
Author: Microck

byMicrock

•

コンテンツ管理

Automates the generation of comprehensive Markdown research reports from structured JSON data, featuring custom tables of contents and intelligent field mapping.

The Research Report skill streamlines the post-research phase by transforming raw JSON data into polished, readable Markdown reports. It automatically locates project outlines, allows users to select key metrics for a high-level table of contents, and generates a custom Python conversion script tailored to the specific data structure. By handling nested dictionaries, skipping uncertain or missing values, and formatting complex lists, it ensures that technical research findings are presented consistently and professionally without manual formatting overhead.

主な機能

01Automated Markdown report generation from JSON datasets

02Dynamic filtering to exclude uncertain or empty data points

032 GitHub stars

04Support for flat and nested JSON structures with recursive formatting

05Intelligent bidirectional category mapping for multi-language keys

06Customizable Table of Contents with user-selected summary metrics

ユースケース

01Synthesizing competitive analysis data into a shareable stakeholder report

02Compiling technical benchmarks and performance metrics from various JSON sources

03Generating structured documentation for open-source project research

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/opendots-microck research-report

For use in Claude.ai and ChatGPT

Download Skill