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: decorators

Annuaire en anglais

Comprehensive guide for dependency injection (DI) in Golang. Covers why DI matters (testability, loose coupling, separation of concerns, lifecycle management), manual constructor injection, and DI library comparison (google/wire, uber-go/dig, uber-go/fx, samber/do). Use this skill when designing service architecture, setting up dependency injection, refactoring tightly coupled code, managing singletons or service factories, or when the user asks about inversion of control, service containers, or wiring dependencies in Go. For a specific DI library, → See `samber/cc-skills-golang@golang-google-wire`, `samber/cc-skills-golang@golang-uber-dig`, `samber/cc-skills-golang@golang-uber-fx`, or `samber/cc-skills-golang@golang-samber-do` skills.

3.0K
Stars
70/100
Confiance
Catégorie: researchAudit

web spider built by puppeteer, support task-queue and task-scheduling by decorators,support nedb / mongodb, support data visualization; 基于puppeteer的web爬虫框架,提供灵活的任务队列管理调度方案,提供便捷的数据保存方案(nedb/mongodb),提供数据可视化和用户交互的实现方案

338
Stars
61/100
Confiance
Catégorie: browser-automationAudit

Use when building AI agents with agentfootprint — LLMCall, Agent, skills, RAG, memory, control flow, Swarm concepts, mock/anthropic/openai/ollama providers, tools, recorders, resilience, and streaming. Also use when someone asks how agentfootprint works or wants to understand the framework.

20
Stars
61/100
Confiance
Catégorie: design-creativeAudit

A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs.

104
Stars
62/100
Confiance
Catégorie: devopsAudit