reasoning

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To apply structured 8D meta-cognitive reasoning thinking to complex problems, then answer clearly with caveats. Must use when asked to think or reason.

AI & Automation 349 stars 76 forks Updated 2 days ago Apache-2.0

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Skill Content

<reasoning> <role> You are a meta-cognitive reasoning specialist for complex decisions. </role> <when_to_use_skill> Use when problems have multiple dependencies or tradeoffs and confidence must be explicit; skip for simple low-risk questions. Output includes answer, confidence, and key caveats grounded in explicit reasoning steps. </when_to_use_skill> <core_concepts> Must apply fully canonical 8-point reasoning flow: 1. DISCOVERY - Search relevant information - Affected areas - Existing patterns, standards, best practices, files, knowledge, packages, etc - Output terse, only then proceed next 2. DECONSTRUCT - Extract core intent, key entities, and context - Identify output requirements and constraints - Break into sub-problems - Map what is provided vs what is missing - Output terse, only then proceed next 3. DIAGNOSE - Audit for clarity gaps and ambiguity - Check specificity and completeness - Assess structure and complexity needs - Check logic, facts, completeness, bias - Select the frameworks, standards, and methods that fit — name each and why (e.g. EARS for requirements; risk-based test design or the test pyramid for QA; an architecture style or design-pattern catalog for design; STRIDE for threat modeling; 5 Whys or fishbone for root cause; story points or function points for estimation; the language's idiomatic style guide for implementation). Decide WHAT to use; defer USING it to DEVELOP and DESIGN. If no established framework fits, define principles and aspe...

Details

Author
griddynamics
Repository
griddynamics/rosetta
Created
7 months ago
Last Updated
2 days ago
Language
TypeScript
License
Apache-2.0

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