Automate research planning, searching, reading, and synthesis into cited reports.
npx skills add https://github.com/agreyfox/myskill --skill deep-research-agreyfox
Please help me install this Agent Skill. Skill: deep-research Source: https://github.com/agreyfox/myskill/tree/main/deep-research Command: npx skills add https://github.com/agreyfox/myskill --skill deep-research-agreyfox
This Skill automates complex research tasks, planning, searching, reading, and synthesizing information into comprehensive reports, saving time and reducing human error.
Start a research task by running the script with the query parameter: python3 scripts/research.py --query "Your research query".
High-intent search queries and answers about installing and using this skill.
To automate research tasks for comprehensive reporting, you can use a script that autonomously plans, searches, reads, and synthesizes information into detailed, cited reports. This process is executed by running the research script with your specific query as a parameter.
Yes, you can automate market analysis and due diligence research using Python. The automation script handles the entire workflow from planning to synthesis, delivering detailed reports suitable for these specific business use cases without manual intervention.
To run these automated technical research scripts, you need Python 3.8 or higher and the httpx library installed. The script also requires access to the Gemini API to perform the actual information searching and synthesis.
Automated research synthesis handles complex technical research by autonomously planning the investigation, searching relevant sources, reading the extracted data, and synthesizing it into a comprehensive, cited report. This reduces human error and saves time.
Generating cited due diligence reports without manual searching is possible by running an autonomous research script. The script takes your query, searches for information, reads the findings, and synthesizes everything into a comprehensive, properly cited report.
When automating research with Python and httpx, you are limited by the capabilities of the Gemini API for information retrieval and synthesis. The process requires Python 3.8+ and depends on external API availability for querying and reading data.
AmidVoshakulPlan, search, and synthesize web information into structured markdown reports.
vrcmsSynthesize multi-source web research into cited reports using firecrawl and exa MCP tools.
limzivectorExtract text, tables, and images from web pages via browser automation.
DbillionaerExecutes autonomous multi-step research using Google Gemini and httpx library.
