Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: cache-cleaner

Annuaire en anglais

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

30K
Stars
88/100
Confiance
Catégorie: coding-agentsAudit

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

35K
Stars
85/100
Confiance
Catégorie: agent-frameworksAudit

BleachBit system cleaner for Windows and Linux

6.0K
Stars
81/100
Confiance
Catégorie: legal-complianceAudit

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
Confiance
Catégorie: legal-complianceAudit

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

6.9K
Stars
84/100
Confiance
Catégorie: researchAudit

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
Confiance
Catégorie: 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
Confiance
Catégorie: design-creativeAudit

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

1.1K
Stars
80/100
Confiance
Catégorie: 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
Confiance
Catégorie: 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
Confiance
Catégorie: data-analysisAudit

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
Confiance
Catégorie: developmentAudit

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

8.1K
Stars
71/100
Confiance
Catégorie: rag-knowledgeAudit