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Cdk Patterns
cdk-patterns
sickn33/antigravity-awesome-skills
92
Common AWS CDK patterns and constructs for building cloud infrastructure with TypeScript, Python, or Java. Use when designing reusable CDK stacks and L3 constructs.
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Makepad DSL Assistant
makepad-dsl
sickn33/antigravity-awesome-skills
53
Guides Makepad developers through live_design! DSL syntax, widget prototypes, and eager-copy inheritance patterns for makepad-widgets, including linking to Rust structs and overriding properties with live reloading.
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Go Naming Conventions
golang-naming
samber/cc-skills-golang
462
Explains Go naming conventions for packages, constructors, structs, interfaces, constants, errors, booleans, receivers, functional options, and tests to help you write or review idiomatic identifiers.
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Go Struct Interface Guide
golang-structs-interfaces
samber/cc-skills-golang
453
Documents Go struct and interface best practices for composition, embedding, type assertions, interface segregation, pointer/value receivers, and when to prefer concrete return types for clarity.
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Decomposing Complex Football Search Queries
football-constraint-decompose
EverMind-AI/EverOS
295
This technique guides users on decomposing multi-constraint questions, especially in the domain of football trivia or historical research. Instead of searching all criteria simultaneously, it instructs users to rank constraints by distinctiveness (e.g., specific match results first, then historical milestones). By performing incremental, cascading searches, the system dramatically narrows down the result set, leading to more accurate information retrieval.
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Global Search Strategies for Non-English Musicians
musician-non-english
EverMind-AI/EverOS
415
This guide details advanced search techniques for researching musical artists from non-Western regions, including K-pop, Middle Eastern, African, and Latin American genres. It instructs users on moving beyond standard English search terms by incorporating regional keywords, cultural identifiers (like UN Ambassador status), specific platforms (e.g., Coke Studio), and systematic regional branching to find comprehensive information.
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Musician Identification Using Life Events
musician-life-event
EverMind-AI/EverOS
173
This technique guides the identification of musicians by prioritizing unique personal life events over discography details (albums or songs). It instructs users to use highly distinctive biographical information—such as career turning points, specific personal relationships, or unusual life incidents—as the primary search anchor. This method significantly improves search accuracy when typical musical clues are insufficient.
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