tacigent-stage-solution

Identifies Tacigent Stage 3 solution direction and hands off to tacigent-stage-design.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill guides teams in choosing the most appropriate direction to solve a given problem and guarantees handoff to tacigent-stage-design at completion.

Core Features & Use Cases

  • Establishes a structured decision process for solution exploration (method framing, anchor setting, orthogonal candidate generation)
  • Guides multi-critic evaluation (First-Principles Pruner, Anchor-Drift, Feasibility, Differentiation, Validation)
  • Enforces governance and readiness gates to ensure safe progression to tacigent-stage-design

Quick Start

Provide the initial problem context, then follow tacigent method steps to generate and compare at least four orthogonal solution candidates.

Frequently Asked Questions about tacigent-stage-solution

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

FAQPage Schema
How do I structure solution direction decisions for complex problem-solving scenarios?▼

Structure solution direction decisions by applying method framing to set anchors, generating at least four orthogonal candidates, and running a multi-critique evaluation cycle. This ensures a rigorous, auditable exploration of solution paths before committing to a design phase.

What is orthogonal candidate generation and when do I need it for decision-making?▼

Orthogonal candidate generation creates multiple mutually exclusive solution directions to prevent anchoring bias. You need it when a problem requires comprehensive exploration and a structured, auditable evaluation of alternatives before narrowing down to a final design approach.

How do I evaluate multiple solution candidates using first-principles and feasibility critiques?▼

Evaluate solution candidates by applying a multi-critic swarm including First-Principles Pruner, Anchor-Drift, Feasibility, Differentiation, and Validation critiques. This governance process runs iterative critique cycles to filter and refine candidates against established anchors.

Does this governance process enforce a mandatory handoff to the design stage?▼

Yes, the process enforces a mandatory handoff to the design stage upon completion. It applies readiness gates and governance checks to ensure only a validated, auditable solution direction progresses safely to the subsequent design workflow.

What are the limitations of using method framing for solution exploration?▼

The method framing approach requires generating at least four orthogonal candidates and completing full critique cycles, meaning it is not suited for rapid, ad-hoc decisions. It mandates a structured end-to-end workflow that may be excessive for simple problem-solving scenarios.