How does the Research Deep skill handle large task lists?

The skill uses a batch-processing system based on a user-defined outline. It spawns independent background agents to handle items in parallel, requiring user approval before moving to the next batch to ensure resource management.

How is the quality of the research data ensured?

Every research item undergoes a validation step using a Python script. It checks the generated JSON against your 'fields.yaml' definition to ensure all required fields are present and correctly formatted.

Does this skill require manual searching?

No, it utilizes a background web-search-agent that autonomously browses the web based on the parameters provided in your research outline.

Can I resume an interrupted research session?

Yes, Research Deep features an automatic resume check. It scans your output directory for existing JSON files and skips any items that have already been successfully completed.

Deep Research Automation

Name: Deep Research Automation
Author: Microck

byMicrock

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网络抓取与数据收集

Automates systematic, multi-agent research workflows to generate validated, structured JSON data from web sources.

Research Deep is a sophisticated capability for Claude Code designed to handle large-scale data gathering and analysis tasks. By reading from a structured outline, it orchestrates multiple background agents to perform parallel research, ensuring each data point is meticulously documented and validated against specific field definitions. It features built-in resume support to handle interruptions gracefully and uses a batch-processing model that gives users full control over execution flow, making it perfect for creating high-quality datasets, competitive analyses, or comprehensive technical reports.

主要功能

01Strict JSON schema validation against custom field definitions

02Automated outline parsing from YAML configuration files

03Parallel multi-agent execution for rapid, high-volume research

042 GitHub stars

05Background task processing with progress monitoring and batch controls

06Intelligent resume support to skip previously completed items

使用场景

01Creating structured competitive analysis databases for market research

02Automating large-scale data collection for academic or historical projects

03Building comprehensive technical documentation for multiple software products

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/opendots-microck research-deep

For use in Claude.ai and ChatGPT

Download Skill