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SWE-Skills-Bench

SWE-Skills-Bench 收录了来自 GeniusHTX 的 9 个 skills,并提供仓库级职业覆盖和站内 skill 详情页。

已收集 skills
9
Stars
59
更新
2026-04-14
Forks
11
职业覆盖
2 个职业分类 · 已分类 100%
仓库浏览

这个仓库中的 skills

add-admin-api-endpoint
软件开发工程师

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

2026-04-14
turborepo
软件开发工程师

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
软件开发工程师

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
软件开发工程师

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

2026-03-23
analyze-ci
软件开发工程师

Analyze failed GitHub Action jobs for a pull request.

2026-03-23
clojure-write
软件开发工程师

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
软件开发工程师

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
数据科学家

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
软件开发工程师

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