GitHub
effect-foundations
Core Effect foundations and style for a coding agent. Use when starting an Effect task, choosing operators, or structuring a small pipeline.
mepuka AI Skills
GitHub ↗Explorez les skills IA publiés de mepuka et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
15Étoiles des dépôts des skills indexés
75Forks du dépôt
0Moyenne des étoiles par skill indexé
5Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
effect-sql-db
Effect patterns for SQL databases (Drizzle/Kysely/Prisma): services, transactions, retries, streaming, and observability.
GitHub
effect-concurrency-fibers
Concurrency with Effect.all, forEach concurrency, Fiber lifecycle, race and timeouts. Use for parallelizing tasks safely.
GitHub
effect-time-tracing-logging
Time with Clock/Duration, tracing spans, and structured logging. Use for time-based logic, deadlines, and observability.
GitHub
effect-patterns-hub
Complete catalog of 130+ Effect-TS patterns from EffectPatterns repository. Use when looking for specific implementation patterns, best practices, or real-world examples. Complements other skills with concrete,...
GitHub
effect-errors-retries
Error modeling and recovery with TaggedError, catchTag(s), mapError, and retry schedules. Use when defining errors or adding resilience.
GitHub
effect-layers-services
Define services, provide layers, compose dependencies, and switch live/test. Use for DI boundaries and app composition.
GitHub
effect-resources-scope
Resource safety with acquireRelease, Effect.scoped, and finalizers. Use when opening files, sockets, servers, or external handles.
GitHub
effect-index
Skill index and decision guide. Use to pick the right Effect Skill quickly and follow a minimal decision tree.
GitHub
effect-http-routing
HTTP server, routing, JSON responses and dependencies via layers. Use when wiring endpoints and services.
GitHub
effect-testing-mocking
Testing patterns with layers, mocks, and deterministic time. Use when preparing testable services and small smoke tests.
GitHub
effect-queues-background
Queue and PubSub patterns, background fibers, and graceful shutdown. Use for decoupling producers/consumers.
GitHub
effect-streams-pipelines
Stream creation, transformation, sinks, batching, and resilience. Use when building data pipelines with concurrency and backpressure.
GitHub
effect-config-schema
Config loading and Schema validation/transform. Use when defining configuration or validating inputs.
GitHub
effect-collections-datastructs
Value-based data structures (Data.struct, tuple, array) and high-performance collections (Chunk, HashSet). Use for safe comparisons and pipelines.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.