research-ops

Coordinate external research tools to produce evidence-based answers and monitoring recommendations.

Updated Mar 15, 2026

Search Tags:#workflow #research #monitoring #synthesis #current information

Ready to run

npx skills add https://github.com/abhishekdutta18/blogspro --skill research-ops-abhishekdutta18

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-ops
Source: https://github.com/abhishekdutta18/blogspro/tree/main/.claude/skills/research-ops
Command: npx skills add https://github.com/abhishekdutta18/blogspro --skill research-ops-abhishekdutta18

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured approach to conducting current-state research, comparisons, enrichment, and monitoring workflows by integrating multiple external research tools.

Core Features & Use Cases

Research Coordination: Guides users on when and how to effectively use exa-search, deep-research, and market-research to gather and synthesize current information.
Workflow Optimization: Helps streamline recurring research tasks, establishing if a task should be turned into a monitor for ongoing updates.
Guardrail Enforcement: Ensures separation of sourced facts, user evidence, inferences, and recommendations with explicit labeling.

Quick Start

Input research questions and relevant evidence; the skill suggests appropriate search methods, summarizes findings, and advises on whether to set up ongoing monitoring.

Frequently Asked Questions about research-ops

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

FAQPage Schema

How do I streamline current research tasks with automated intelligence workflows?▼

Automated research workflows streamline current research tasks by integrating multiple search and synthesis tools to gather up-to-date information, produce evidence-based answers, and recommend ongoing monitoring for recurring tasks.

What is the best way to separate sourced facts from inferences during research synthesis?▼

Separating sourced facts from inferences during research synthesis requires explicit labeling guardrails that distinguish gathered evidence, user inputs, inferred conclusions, and final recommendations for reliable outputs.

How do I know when to set up ongoing monitoring for a recurring research task?▼

Ongoing monitoring for recurring research tasks should be established when the workflow optimization logic identifies that a specific research query requires continuous, up-to-date information retrieval rather than a one-time synthesis.

Can I use multiple search tools together for market research and comparisons?▼

Market research and comparisons can leverage multiple search tools together through research coordination, which guides the effective integration of various external search methods to synthesize current information.

Does this research workflow approach require specific external search dependencies?▼

The research workflow approach operates without hardcoded dependencies, providing structured guidance on integrating external search and synthesis tools dynamically based on the specific current information retrieval needs.

Why should I use a structured research workflow instead of manual web searches?▼

A structured research workflow surpasses manual web searches by enforcing clear separation of facts and inferences, optimizing recurring tasks into monitors, and coordinating multiple search tools for precise, evidence-based recommendations.