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mepuka AI Skills

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Browse published AI skills maintained by mepuka. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

15

Repository stars across indexed skills

75

Repository forks

0

Average repository stars per indexed skill

5

Repository stars may repeat across skills from the same repository.

15 skills

Browse skills

GitHub

effect-foundations

mepuka

Core Effect foundations and style for a coding agent. Use when starting an Effect task, choosing operators, or structuring a small pipeline.

GitHub

effect-sql-db

mepuka

Effect patterns for SQL databases (Drizzle/Kysely/Prisma): services, transactions, retries, streaming, and observability.

GitHub

effect-patterns-hub

mepuka

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

mepuka

Error modeling and recovery with TaggedError, catchTag(s), mapError, and retry schedules. Use when defining errors or adding resilience.

GitHub

effect-layers-services

mepuka

Define services, provide layers, compose dependencies, and switch live/test. Use for DI boundaries and app composition.

GitHub

effect-resources-scope

mepuka

Resource safety with acquireRelease, Effect.scoped, and finalizers. Use when opening files, sockets, servers, or external handles.

GitHub

effect-index

mepuka

Skill index and decision guide. Use to pick the right Effect Skill quickly and follow a minimal decision tree.

GitHub

effect-testing-mocking

mepuka

Testing patterns with layers, mocks, and deterministic time. Use when preparing testable services and small smoke tests.

GitHub

effect-streams-pipelines

mepuka

Stream creation, transformation, sinks, batching, and resilience. Use when building data pipelines with concurrency and backpressure.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.