tacigent-research

Coordinate live internet research for Tacigent stage workflows.

Updated Mar 29, 2026
One-click install
npx skills add https://github.com/Me1e/ralphthon --skill tacigent-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tacigent-research
Source: https://github.com/Me1e/ralphthon/tree/main/.agents/skills/tacigent-research
Command: npx skills add https://github.com/Me1e/ralphthon --skill tacigent-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tacigent stage live internet research requires a structured, repeatable protocol to ensure focused exploration, evaluation, and justification, while avoiding ad-hoc or duplicated efforts.

Core Features & Use Cases

  • Defines discovery, validation, and refresh modes to guide research workflows.
  • Establishes guidelines for signal bias, query families, source classes, and platform rules to maintain rigor.
  • Provides a decision-class framework and language guidelines to document coverage and risk.

Quick Start

Invoke this protocol when a Tacigent stage requires live research and apply the procedures to guide discovery, validation, and decision-making.

Frequently Asked Questions about tacigent-research

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

FAQPage Schema
What is structured live internet research and when do I need it?

Structured live internet research enforces defined discovery, validation, and refresh modes to ensure focused exploration and rigorous evaluation. You need it when stage workflows require auditable information gathering to avoid ad-hoc or duplicated efforts.

How do I coordinate live research workflows for stage-based protocols?

Coordinate live research workflows by applying defined modes, query families, and source classes to guide discovery, validation, and decision-making. Invoke the protocol when a stage requires live research and apply its procedures to maintain rigor and repeatability.

Does this research protocol support evidence coverage and decision-class frameworks?

Yes, the research protocol supports evidence coverage and decision-class frameworks by establishing guidelines for signal bias, source classes, and platform rules. It provides language guidelines to document coverage and risk during live research.

What's the best way to validate information discovered during live internet research?

The best way to validate discovered information is applying the protocol's validation mode alongside its source classes and signal bias guidelines. This ensures evaluated information meets defined evidence coverage standards before justifying decisions.

Why does my live research workflow produce duplicated or ad-hoc efforts?

Live research workflows produce duplicated or ad-hoc efforts when lacking a structured, repeatable protocol. Defining discovery, validation, and refresh modes with established query families and source classes prevents unfocused exploration and ensures auditable research.