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s1-quint

Orchestrate a 5-phase FPF reasoning cycle from Q0 to Q5.

Updated Feb 4, 2026
Search Tags:#decision making#context management#problem solving#reasoning#hypothesis#fpf
One-click install
npx skills add https://github.com/rlaksana/.sharing --skill s1-quint
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: s1-quint
Source: https://github.com/rlaksana/.sharing/tree/main/s1-quint
Command: npx skills add https://github.com/rlaksana/.sharing --skill s1-quint

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the FPF (Fact-Finding Process) reasoning cycle, guiding users through a structured problem-solving process from initial problem statement to a final decision and implementation handoff.

Core Features & Use Cases

  • Structured Reasoning: Guides users through 5 phases (Q0-Q5) of problem analysis and solution proposal.
  • Context Management: Ensures all decisions are grounded in a comprehensive "Context Pack" of repo and external truths.
  • Hypothesis Generation & Validation: Facilitates the proposal, verification, and empirical testing of multiple solutions.
  • Use Case: When faced with a complex bug, this Skill will help you systematically research the problem, propose potential fixes, validate them logically and empirically, and present a well-reasoned recommendation for implementation.

Quick Start

Use the s1-quint skill to analyze the problem statement: "The user login is intermittently failing."

Frequently Asked Questions about s1-quint

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

FAQPage Schema
What is the FPF reasoning cycle for complex problem solving?▼

The FPF reasoning cycle is a structured decision-making process that guides users through 5 phases (Q0-Q5), from initial research and hypothesis generation to verification, testing, and final user-gated implementation handoff.

How do I systematically validate hypotheses for a complex bug fix?▼

You validate hypotheses by generating potential fixes, verifying them logically, and empirically testing them against a comprehensive Context Pack of repository and external truths before finalizing the decision.

Can I use structured reasoning to manage context for software engineering decisions?▼

Yes, structured reasoning ensures all software engineering decisions are grounded in a comprehensive Context Pack, enforcing protocol adherence and evidence-based validation before proceeding to implementation.

What's the best way to automate problem analysis from an initial statement to implementation?▼

Automating problem analysis requires orchestrating a 5-phase reasoning cycle that researches the problem, proposes solutions, validates them, and presents a well-reasoned recommendation for a user-gated decision.

Does this structured problem solving approach require user intervention before implementation?▼

Yes, the reasoning cycle enforces a final user-gated decision before handing off to implementation, ensuring a human validates the proposed, tested, and audited solution.

Why does evidence-based decision making matter for complex software problems?▼

Evidence-based decision making matters because it enforces protocol adherence and tool usage, ensuring proposed solutions are backed by a comprehensive Context Pack rather than assumptions before implementation.

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