research

Frame, verify, and synthesize evidence-based research with provenance tracking.

Updated Jul 20, 2026
One-click install
npx skills add https://github.com/loveconnor/clove-skills --skill research-loveconnor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/loveconnor/clove-skills/tree/main/.agents/skills/research
Command: npx skills add https://github.com/loveconnor/clove-skills --skill research-loveconnor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the problem of unstructured, unreliable, or biased research by providing a systematic framework for framing questions, verifying claims, and synthesizing evidence.

Core Features & Use Cases

  • Evidence-Based Framing: Establishes a research contract to define decision parameters, scope, and evidence standards before searching.
  • Iterative Verification: Provides a structured workflow for fact-checking, resolving contradictions, and tracing provenance to ensure claims are defensible.
  • Use Case: Use this skill when you need to perform a market scan or evaluate a technical claim where you must distinguish between evidence and inference, ensuring all conclusions are traceable to credible sources.

Quick Start

Use the research skill to frame a research contract for the current project and identify the primary evidence requirements.

Frequently Asked Questions about research

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

FAQPage Schema
How do I conduct evidence-based research for complex market or technical inquiries?

Evidence-based research requires a structured methodology to frame questions, verify claims, and synthesize findings. This ensures conclusions are defensible, traceable to credible sources, and clearly distinguish between evidence and inference for complex inquiries.

What is the best way to structure fact-checking and resolve contradictions in research?

Fact-checking and contradiction resolution are managed through an iterative verification workflow. This framework traces provenance to ensure claims are defensible, systematically resolving conflicting data to guarantee high levels of traceability and verification.

How do I frame a research scope before gathering information?

Framing a research scope involves establishing a research contract to define decision parameters, scope, and evidence standards before searching. This creates clear boundaries and identifies primary evidence requirements to guide the entire investigation.

When do I need provenance tracking and uncertainty communication in my research?

Provenance tracking and uncertainty communication are needed when performing market scans or evaluating technical claims. They ensure all conclusions remain traceable to credible sources and explicitly communicate the confidence level of findings.

Can I use this methodology to distinguish between evidence and inference for product decisions?

Yes, you can use this methodology to evaluate technical claims for product decisions. It applies a rigorous, multi-step workflow to separate verified evidence from inference, ensuring all conclusions are traceable to credible sources.

What are the limitations of unstructured research without a systematic framework?

Unstructured research suffers from unreliability and bias without a systematic framework. It lacks a defined research contract for scope and evidence standards, making it difficult to trace provenance, resolve contradictions, or ensure claims are defensible.