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.
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mepuka AI Skills
GitHub ↗浏览 mepuka 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
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已收录技能
15收录技能的仓库 Stars 合计
75仓库 Forks
0平均每个技能的仓库 Stars
5同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
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GitHub
effect-sql-db
Effect patterns for SQL databases (Drizzle/Kysely/Prisma): services, transactions, retries, streaming, and observability.
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GitHub
effect-concurrency-fibers
Concurrency with Effect.all, forEach concurrency, Fiber lifecycle, race and timeouts. Use for parallelizing tasks safely.
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GitHub
effect-time-tracing-logging
Time with Clock/Duration, tracing spans, and structured logging. Use for time-based logic, deadlines, and observability.
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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,...
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GitHub
effect-errors-retries
Error modeling and recovery with TaggedError, catchTag(s), mapError, and retry schedules. Use when defining errors or adding resilience.
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GitHub
effect-layers-services
Define services, provide layers, compose dependencies, and switch live/test. Use for DI boundaries and app composition.
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GitHub
effect-resources-scope
Resource safety with acquireRelease, Effect.scoped, and finalizers. Use when opening files, sockets, servers, or external handles.
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GitHub
effect-index
Skill index and decision guide. Use to pick the right Effect Skill quickly and follow a minimal decision tree.
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GitHub
effect-http-routing
HTTP server, routing, JSON responses and dependencies via layers. Use when wiring endpoints and services.
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GitHub
effect-testing-mocking
Testing patterns with layers, mocks, and deterministic time. Use when preparing testable services and small smoke tests.
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GitHub
effect-queues-background
Queue and PubSub patterns, background fibers, and graceful shutdown. Use for decoupling producers/consumers.
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GitHub
effect-streams-pipelines
Stream creation, transformation, sinks, batching, and resilience. Use when building data pipelines with concurrency and backpressure.
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GitHub
effect-config-schema
Config loading and Schema validation/transform. Use when defining configuration or validating inputs.
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GitHub
effect-collections-datastructs
Value-based data structures (Data.struct, tuple, array) and high-performance collections (Chunk, HashSet). Use for safe comparisons and pipelines.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。