Refine questions, post requests to Gemini Deep Research, and generate structured reports.
npx skills add https://github.com/idealic-ai/engine --skill research-idealic-ai
Please help me install this Agent Skill. Skill: research Source: https://github.com/idealic-ai/engine/tree/main/skills/research Command: npx skills add https://github.com/idealic-ai/engine --skill research-idealic-ai
Full research cycle — refines query, calls Gemini Deep Research, polls, delivers report. Combines /research-request + /research-respond to enable end-to-end automation of research workflows.
Ask me to start a topic-focused research cycle and the system will refine the question, submit the request to Gemini Deep Research, poll for results, and deliver a structured report.
High-intent search queries and answers about installing and using this skill.
To automate end-to-end research cycles with Gemini Deep Research, you initiate a topic-focused request, and the system automatically refines the query, posts the request, polls for completion, and delivers a structured report. This eliminates manual interaction and polling overhead.
Automated research workflows structure competitive analysis reports by leveraging phase-based execution and session logging. The system refines your initial query, submits it to Gemini Deep Research, and generates repeatable artifacts, ensuring your analysis is comprehensive and auditable.
Yes, automated Gemini Deep Research supports session logging for knowledge discovery. It logs all interactions and generates artifacts during the phase-based execution, allowing you to review query refinement steps and audit the external analysis process for future reference.
You refine questions for product research by providing an initial topic, which the system automatically processes using in-session context and predefined templates. This query refinement occurs before posting to Gemini Deep Research, ensuring the external analysis targets your specific product research needs.
Yes, you can use this automated research workflow for iterative questioning and external analysis. It combines request and response phases to handle iterative questioning, continually refining the query and polling Gemini Deep Research until the structured report is fully generated.
Limitations of using automated research workflows include dependency on external analysis from Gemini Deep Research, which requires polling and may introduce latency. Additionally, the system relies on predefined request and response templates, meaning highly unstructured queries may require manual refinement before submission.
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