Receber por email
← Voltar para o catálogo

Autor no catálogo

ConrayGambit

18 skills 108 estrelas no total GitHub ↗

Skills publicadas

Mostrando 6 de 18

hypothesis-driven

6

State a falsifiable hypothesis, then build a Markdown table comparing what you'd Expect to see if it's true vs. the Actual data (or what data is needed). Use for designing analysis plans, pinpointing where reality diverges from expectation, or step 3 of a strategic analysis.

Design e Frontend #llm #markdown por ConrayGambit

sc-retail

6

Tier-1 strategy-consultant analysis tailored for retail / hospitality problems — same-store-sales, foot traffic, basket size, mix, store ops. Same five frameworks as the generic master, with retail-aware MECE defaults, industry vocabulary, and common root-cause patterns. Use for retail-specific problems.

DevOps e Infra #ai #llm por ConrayGambit

five-whys

6

Apply the 5 Whys technique to drill from a surface problem to a root cause. Outputs five sequentially numbered "Why?" lines with brief answers, ending in a root-cause statement. Use after an issue tree to drill the critical branch deeper, or any time the user wants to test whether the apparent cause is the actual cause.

Desenvolvimento #llm #test por ConrayGambit

sc-manufacturing

6

Tier-1 strategy-consultant analysis tailored for manufacturing / industrial-ops problems — OEE, defect rate, yield, supply chain. Same five frameworks with manufacturing-aware MECE defaults, vocabulary, and root-cause priors.

Outros #ai #llm por ConrayGambit

issue-trees

6

Decompose a core problem into root causes with an ASCII tree. Outputs a fenced code block using box-drawing characters. Use for root-cause analysis, drilling from a high-level problem down to testable sub-problems, or step 2 of a strategic analysis.

Desenvolvimento #llm #test por ConrayGambit

sc-government

6

Tier-1 strategy-consultant analysis tailored for public-sector / civic-ops problems — backlogs, processing cycle time, citizen satisfaction, procurement. Same five frameworks with government-aware MECE defaults, vocabulary, and root-cause priors.

DevOps e Infra #ai #llm por ConrayGambit