Verified:GitHub

general-reasoning

Provides templated prompts and few-shot examples for generating SQL from natural language and Excel-to-COSINE conversions.

1|Updated Feb 26, 2026

Search Tags:#problem-solving #reasoning #uncertainty #multi-step #guidelines #critical-thinking #domain-tactics

Ready to run

npx skills add https://github.com/ahoynodnarb/reasoning-based-skills --skill general-reasoning

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: general-reasoning
Source: https://github.com/ahoynodnarb/reasoning-based-skills/tree/main/general-reasoning
Command: npx skills add https://github.com/ahoynodnarb/reasoning-based-skills --skill general-reasoning

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps you produce high-quality, reliable reasoning for hard, uncertain, or multi-step questions by enforcing a disciplined process and providing guardrails for uncertainty and evaluation.

Core Features & Use Cases

Stepwise reasoning protocol: parse, activate the right knowledge frame, reason through steps with checks, and calibrate conclusions.
Domain-aware tactics: guidance for multiple domains to handle domain-specific traps.
Meta-cognitive checks and structured outputs: ensure clarity, traceability, and defensibility of conclusions.

Quick Start

Parse the question, activate the right knowledge frame, reason step-by-step, stress-test your answer, and calibrate your confidence before concluding.

Frequently Asked Questions about general-reasoning

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

FAQPage Schema

How do I improve multi-step reasoning for complex, uncertain questions?▼

Improve multi-step reasoning by applying a disciplined workflow: parse the question, activate domain-specific knowledge frames, reason step-by-step, stress-test conclusions, and calibrate confidence for traceable outputs.

What is the best way to structure critical thinking for hard factual queries?▼

The best way to structure critical thinking is through a stepwise protocol that activates domain-aware tactics, performs meta-cognitive checks, and calibrates uncertainty to ensure conclusions are defensible and clear.

Can I use domain-specific tactics for multi-step problem-solving across different fields?▼

Yes, you can use domain-specific tactics for multi-step problem-solving across fields like medicine, chemistry, CS theory, history, and economics to handle domain-specific traps and ensure accurate reasoning.

How do you calibrate confidence and stress-test conclusions on uncertain problems?▼

Calibrate confidence and stress-test conclusions by applying meta-cognitive checks during step-by-step reasoning, evaluating uncertainty, and following explicit output guidelines to ensure final answers are fully traceable.

When do I need a structured reasoning protocol for tough questions?▼

You need a structured reasoning protocol for tough questions when facing high uncertainty, multi-step problems, or domain-specific tasks where critical thinking and explicit guardrails are required to produce reliable results.

What are the limitations of using general problem-solving guidelines for specialized domains?▼

While general problem-solving guidelines provide a strong baseline, specialized domains require activating specific knowledge frames and domain-aware tactics to navigate unique traps and accurately calibrate confidence.