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.