research-ops

Coordinate ECC research workflows to produce citation-backed recommendations.

Updated Apr 13, 2026
One-click install
npx skills add https://github.com/sakamoto-family-smile/agent_monorepo --skill research-ops-sakamoto-family-smile
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-ops
Source: https://github.com/sakamoto-family-smile/agent_monorepo/tree/main/.claude/skills/ecc/research-ops
Command: npx skills add https://github.com/sakamoto-family-smile/agent_monorepo --skill research-ops-sakamoto-family-smile

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Researchers and product teams often chase current information, compare options, and build evidence-backed recommendations, but lack a unified workflow that preserves citations and clearly separates facts from inferences.

Core Features & Use Cases

  • Evidence-first research orchestration that coordinates ECC's current-web discovery, multi-source synthesis, and knowledge-enrichment.
  • Explicit guardrails that separate sourced facts, user-provided context, inference, and recommendations.
  • Use cases include fresh fact-finding, option comparisons, lead/enrichment for people or companies, and recurring monitoring with automated updates.

Quick Start

Invoke the ECC research workflow to fetch current evidence and produce an enriched, citation-backed recommendation using any provided local context.

Frequently Asked Questions about research-ops

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

FAQPage Schema
How do I build an evidence-first research workflow with citations?▼

An evidence-first research workflow separates sourced facts from inferences and recommendations while preserving citations. It coordinates current-web discovery and multi-source synthesis to deliver fresh facts and enriched, citation-backed recommendations.

Can I set up recurring monitoring for research lookups with automated updates?▼

Yes, recurring lookups can be monitored and fact-checked with citations. The workflow automates updates for recurring research monitoring, ensuring that fresh facts are continuously fetched and evidence-backed recommendations are maintained over time.

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

The best way to separate sourced facts from inferences is using explicit workflow guardrails. These guardrails distinguish between sourced facts, user-provided context, inference, and recommendations throughout the research orchestration process.

Do I need ECC-native skills to run research monitoring and enrichment workflows?▼

Yes, the research workflow requires integration with ECC-native skills like exa-search, deep-research, market-research, lead-intelligence, and knowledge-ops. These dependencies provide the current-web discovery and knowledge-enrichment capabilities needed for fact-checking.

Does this research workflow support lead enrichment for people and companies?▼

Yes, the workflow supports lead enrichment for people or companies. It uses evidence-first research orchestration to fetch fresh facts and provide enriched, citation-backed recommendations for lead intelligence tasks.