Enhance research prompts and execute web-backed deep research with timestamped reports.
npx skills add https://github.com/pinion05/skills --skill deep-research-pinion05
Please help me install this Agent Skill. Skill: deep-research Source: https://github.com/pinion05/skills/tree/main/deep-research Command: npx skills add https://github.com/pinion05/skills --skill deep-research-pinion05
This skill enables comprehensive, internet-enabled research by orchestrating prompt enhancement, saving research parameters for reproducibility, and executing deep research with web search capabilities. It helps users who need structured, in-depth analysis without manual prompt tuning.
Provide a research prompt to the skill (e.g., "What are the latest AI governance best practices?"). The system will assess prompt quality, optionally ask clarifying questions, save the enhanced prompt to a timestamped file, run the deep research process, and present the final report with sources. If you want to skip enhancement, pass --no-enhance to the orchestrator.
High-intent search queries and answers about installing and using this skill.
Automate in-depth research by providing a prompt to an orchestrator that enhances scope, saves timestamped parameters, and executes a web-backed pipeline to generate a final Markdown report with sources.
Yes, you can skip prompt enhancement by passing the --no-enhance flag to the orchestrator, which bypasses clarifying questions and executes the deep research pipeline directly.
Yes, the deep research tool works for market studies, technology trend analysis, and threat-models by running structured, web-backed analyses that return comprehensive Markdown reports with sources.
Smart prompt enhancement detects vague research queries and asks 2-3 targeted clarifying questions to sharpen scope, ensuring the deep research pipeline produces highly relevant and structured web-backed analyses.
Yes, you need a configurable OpenAI model to execute the end-to-end deep research pipeline, which leverages web search capabilities to return a final Markdown report with sources.
Ensure reproducibility in automated web research by using a system that saves enhanced prompts to timestamped files and records all research parameters, creating an auditable trail for future reference.
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