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research-ops

Coordinate evidence-first research workflows with citations and explicit evidence boundaries.

Updated Aug 23, 2026
Search Tags:#research#evidence#market-research#deep-research#exa-search#lead-intelligence#knowledge-ops
One-click install
npx skills add https://github.com/Maelwalser/claude-config --skill research-ops-maelwalser
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-ops
Source: https://github.com/Maelwalser/claude-config/tree/main/skills/research-ops
Command: npx skills add https://github.com/Maelwalser/claude-config --skill research-ops-maelwalser

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Evidence-first current-state research workflow for MCC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.

Core Features & Use Cases

  • Pull current public evidence via fast discovery and synthesis with citations
  • Compare options, enrich people or companies, or turn lookups into monitored workflows
  • Keep evidence boundaries explicit: separate sourced facts, user context, inference, and recommendations

Quick Start

Ask me to research a topic and return an evidence-backed, cited summary.

Frequently Asked Questions about research-ops

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

FAQPage Schema
How do I gather current public evidence with citations for a research topic?▼

To gather current public evidence with citations, use the research-ops workflow to coordinate fast discovery and synthesis, returning an evidence-backed summary with explicit source boundaries.

What's the best way to compare options using current public evidence and local context?▼

Comparing options requires separating sourced facts from user-provided context; this evidence-first workflow integrates both to deliver structured comparisons with clear citation boundaries.

Can I enrich people or companies using deep research without mixing facts with inferences?▼

Yes, you can enrich people or companies using deep research because the workflow enforces explicit evidence boundaries, keeping sourced facts, user context, inferences, and recommendations strictly separate.

How does an evidence-first research workflow handle monitored research tasks?▼

An evidence-first research workflow handles monitored research by turning current information lookups into ongoing workflows that continuously gather fresh facts and synthesize cited updates.

Do I need external dependencies to run market research and lead intelligence lookups?▼

No external dependencies are required to run market research and lead intelligence lookups; the workflow operates as a lightweight operator wrapper around the internal research stack.

When should I not use an evidence-first research workflow for synthesis?▼

You should not use an evidence-first research workflow when your task requires proprietary data integration or private knowledge outside the scope of current public evidence gathering and synthesis.

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