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: import

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

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

30K
Stars
87/100
Kepercayaan
Kategori: rag-knowledgeAudit

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

7.0K
Stars
84/100
Kepercayaan
Kategori: agent-frameworksAudit

Django application and library for importing and exporting data with admin integration.

3.3K
Stars
84/100
Kepercayaan
Kategori: data-analysisAudit

Import YAML/JSON-formatted configuration files into Keycloak - Configuration as Code for Keycloak.

1.2K
Stars
80/100
Kepercayaan
Kategori: automationAudit

Opinionated Oxlint rules packaged as an installable agent skill for rejecting low-evidence TypeScript/JavaScript patterns.

645
Stars
85/100
Kepercayaan
Kategori: coding-agentsAudit

Collect, organize, use, and share, all in OmniBox.

1.4K
Stars
77/100
Kepercayaan
Kategori: rag-knowledgeAudit

Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand.

51K
Stars
78/100
Kepercayaan
Kategori: researchAudit

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

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

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

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