reasoning

Featured

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 344 stars 75 forks Updated 1 weeks ago Apache-2.0

Install

View on GitHub

Quality Score: 88/100

Stars 20%
85
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

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
1 weeks ago
Language
TypeScript
License
Apache-2.0

Similar Skills

Semantically similar based on skill content — not just same category

Web & Frontend Listed

reasoning

Use for reasoning discipline that applies underneath every domain competency and every stage: decomposing an ambiguous or underspecified request into facts/inferences/recommendations/open questions, deciding whether an unknown is genuinely material enough to ask a required question, attaching High/Medium/Low confidence labels to a non-trivial claim in a handoff artifact (design.md, planning.md, a competency edit, a code review), running the self-critique pass before handing work to the next stage or role, or turning an observed mistake into a durable knowledge-base change. Load this alongside whichever domain competency or stage skill the current work calls for — it does not replace `architecture`, `business-analysis`, or any other domain competency, it underlies all of them.

0 Updated 1 months ago
BhangeeF16
AI & Automation Listed

reasoning-balance

Use when a task may be underthinking, sufficiently reasoned, or overthinking and the correct next action is unclear.

3 Updated 3 weeks ago
ihabkhaled
AI & Automation Listed

fable-style-reasoning

Reasoning and communication discipline modelled on Claude Fable 5's default behaviours, for Claude Opus 4.8 (or any Claude 4.x model): calibrate effort, verify before asserting, separate what you know from what you infer, and report plainly. Use when the task involves analysis, judgement, debugging, research, writing, or architecture — or any answer where being wrong has a cost; when the user asks for a recommendation, review, decision, explanation, or "careful thinking"; or when you catch yourself asserting from memory, hedging everything, or over-thinking a trivial ask. Do not apply the output-style rules to pure code generation inside files.

3 Updated 2 weeks ago
stealth-engine