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SWE-Skills-Bench

SWE-Skills-Bench contiene 9 skills recopiladas de GeniusHTX, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.

skills recopiladas
9
Stars
59
actualizado
2026-04-14
Forks
11
Cobertura ocupacional
2 categorías ocupacionales · 100% clasificado
explorador de repositorios

Skills en este repositorio

add-admin-api-endpoint
Desarrolladores de software

Add a new endpoint or endpoints to Ghost's Admin API at `ghost/api/admin/**`.

2026-04-14
turborepo
Desarrolladores de software

Turborepo monorepo build system guidance. Triggers on: turbo.json, task pipelines, dependsOn, caching, remote cache, the "turbo" CLI, --filter, --affected, CI optimization, environment variables, internal packages, monorepo structure/best practices, and boundaries. Use when user: configures tasks/workflows/pipelines, creates packages, sets up monorepo, shares code between apps, runs changed/affected packages, debugs cache, or has apps/packages directories.

2026-04-14
add-uint-support
Desarrolladores de software

Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.

2026-03-23
analytics-events
Desarrolladores de software

Add product analytics events to track user interactions in the Metabase frontend

2026-03-23
analyze-ci
Desarrolladores de software

Analyze failed GitHub Action jobs for a pull request.

2026-03-23
clojure-write
Desarrolladores de software

Guide Clojure and ClojureScript development using REPL-driven workflow, coding conventions, and best practices. Use when writing, developing, or refactoring Clojure/ClojureScript code.

2026-03-23
implementing-jsc-classes-zig
Desarrolladores de software

Creates JavaScript classes using Bun's Zig bindings generator (.classes.ts). Use when implementing new JS APIs in Zig with JSC integration.

2026-03-23
llm-evaluation
Científicos de datos

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

2026-03-23
rag-implementation
Desarrolladores de software

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

2026-03-23