Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: inmemory-cache

Direktori bahasa Inggris

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

30K
Stars
88/100
Kepercayaan
Kategori: coding-agentsAudit

DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.

35K
Stars
85/100
Kepercayaan
Kategori: agent-frameworksAudit

Free, open-source macOS cleaner. CleanMyMac alternative with zero telemetry. Native SwiftUI, scheduled auto-cleaning, Xcode/Homebrew/system cache cleanup. MIT licensed.

4.9K
Stars
85/100
Kepercayaan
Kategori: legal-complianceAudit

A kubernetes operator for creating and managing a cache of container images directly on the cluster worker nodes, so application pods start almost instantly

1.4K
Stars
83/100
Kepercayaan
Kategori: devopsAudit

A local-first framework and skill collection for architecture firms to build and share AI-assisted workflows using Claude Code.

313
Stars
77/100
Kepercayaan
Kategori: design-creativeAudit

SmartSql = MyBatis in C# + .NET Core+ Cache(Memory | Redis) + R/W Splitting + PropertyChangedTrack +Dynamic Repository + InvokeSync + Diagnostics

1.1K
Stars
80/100
Kepercayaan
Kategori: data-analysisAudit

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

51K
Stars
68/100
Kepercayaan
Kategori: design-creativeAudit

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

34K
Stars
77/100
Kepercayaan
Kategori: data-analysisAudit

Use when the user wants to install cognee and run their first remember → recall flow with the Python SDK — fresh setup, virtual env, extras selection, or a minimal working example.

30K
Stars
75/100
Kepercayaan
Kategori: automationAudit

A curated suite of AI agent skills for systems and low-level programming, covering C/C++, Rust, Zig, and various toolchain components like compilers, debuggers, and profilers.

139
Stars
75/100
Kepercayaan
Kategori: developmentAudit

Use when the user wants to drive cognee from the terminal with cognee-cli — remember/recall/forget/improve memory commands, managing datasets and config, or database migrations.

30K
Stars
68/100
Kepercayaan
Kategori: data-analysisAudit