research-respond

Retrieve completed Gemini Deep Research results and update original requests.

Updated Feb 8, 2026
One-click install
npx skills add https://github.com/idealic-ai/engine --skill research-respond
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-respond
Source: https://github.com/idealic-ai/engine/tree/main/skills/research-respond
Command: npx skills add https://github.com/idealic-ai/engine --skill research-respond

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

Checks and retrieves completed research results from Gemini Deep Research. This enables triggering fulfillments, checking results, and polling for updates without manual overhead.

Core Features & Use Cases

  • Open request discovery: Locate active or abandoned research requests across sessions.
  • Phase-driven composition: Build precise Gemini prompts from structured research requests and context.
  • Session-aware delivery: Save responses and metadata back into the originating request for traceability.

Quick Start

Identify an open research request and prepare a response template to begin the research process.

Frequently Asked Questions about research-respond

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Gemini Deep Research results retrieval?

Automate Gemini Deep Research retrieval by identifying open or abandoned research requests across sessions, generating a targeted prompt, and saving the returned report and metadata directly into the originating request document.

How do I check for completed Gemini Deep Research requests?

Check completed Gemini Deep Research requests by searching for open or abandoned research tasks across active sessions, selecting a target request, and reading the full document to execute the polling protocol.

What is the best way to manage multiple active research requests in Gemini?

Manage multiple active research requests using session-aware delivery, which discovers open tasks, composes phase-driven prompts, and updates the original request with the final report and metadata for traceability.

Can I trigger Gemini Deep Research fulfillments without manual overhead?

Trigger Gemini Deep Research fulfillments without manual overhead by following a defined protocol to generate the prompt, execute the research, and update the original request with the final report.

How do I build precise prompts for Gemini Deep Research?

Build precise Gemini Deep Research prompts using phase-driven composition, which structures the prompt from the original research request document and contextual data before execution.

Does this research automation method support traceability for abandoned tasks?

Traceability for abandoned tasks is supported by locating the open request across sessions, executing the research, and saving the response metadata back into the originating request document.