tacigent-stage-problem

Defines and converges an evidence-backed problem wedge for Tacigent Stage 2.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tacigent Stage 2: Problem defines and converges an evidence-backed problem wedge; upon completion, tacigent-stage-solution must be invoked.

Core Features & Use Cases

  • Establish problem framing using tacigent-method-first with problem-specific fields and log results to artifacts/problem-method-plan.json.
  • Conduct source-class research following tacigent-research protocol to ensure minimum evidence coverage and hot-signal bias.
  • Generate 3-6 candidate problems across user segments, JTBD, failure moments, and pain clusters.
  • Perform five rounds of critique and readiness evaluation per tacigent-evidence-ladder and tacigent-readiness-gates to surface a canonical selection.

Quick Start

Define the problem stage by following tacigent-method-first, document the plan in artifacts/problem-method-plan.json, and proceed through the prescribed critique and readiness steps.

Frequently Asked Questions about tacigent-stage-problem

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

FAQPage Schema
How do I frame an evidence-backed problem for product management?

To frame an evidence-backed problem, define the problem using a method-first protocol, document the plan in a JSON artifact, and generate 3-6 candidate problems across user segments and JTBD. This ensures rigorous problem synthesis and readiness gating.

What is the problem-formulation protocol for evidence-weighted convergence?

The problem-formulation protocol enforces source-class research, minimum evidence coverage, and hot-signal bias. It requires performing five rounds of critique and readiness evaluation to surface a canonical problem selection.

How do I conduct source-class research to ensure minimum evidence coverage?

Conduct source-class research by following the prescribed research protocol to gather evidence across user segments, failure moments, and pain clusters. This process ensures adequate evidence coverage and biases findings toward hot signals.

Can I use this method-first framing for projects requiring canonical owner assignment?

Yes, this method-first framing applies to projects requiring rigorous problem framing, evidence synthesis, and canonical owner assignment across stages. It guides problem selection and enforces readiness criteria.

What are the limitations of problem framing without readiness gates?

Without readiness gates, problem framing lacks enforced critique cycles and evidence-ladder evaluation, risking poorly synthesized problem wedges. This leads to inadequate readiness evaluation and weak canonical problem selection.

Why does my problem convergence require five review cycles?

Five review cycles are required to rigorously critique candidate problems against readiness gates and an evidence ladder. This iterative evaluation surfaces the most viable canonical selection for the problem wedge.