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joneqian AI Skills

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Explorez les skills IA publiés de joneqian et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

18

Étoiles des dépôts des skills indexés

26

Forks du dépôt

4

Moyenne des étoiles par skill indexé

1

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

18 skills

Explorer

GitHub

x-publish

joneqian

Publish tweets and threads to X (Twitter) draft using browser automation. Use when user wants to publish content to X, save to drafts, or mentions "publish to X", "post tweet", "x-publish", "发布推文". Supports...

GitHub

x-collect

joneqian

Collect and research materials for X (Twitter) content creation using multi-round web search strategy. Use when user wants to gather trending topics, research subjects for X posts, or mentions "collect material...

GitHub

x-filter

joneqian

Score and filter topics for X content creation using weighted criteria. Use when user wants to evaluate collected materials, filter topics by score, or mentions "filter topics", "score materials", "x-filter", "...

GitHub

x-create

joneqian

Create viral X (Twitter) posts including short tweets, threads, and replies. Use when user wants to write X content, create posts, or mentions "create tweet", "write thread", "x-create", "写推文", "创作推文". S...

GitHub

vant

joneqian

Vant 4 Vue mobile UI component library. Use for building mobile web apps with Vue 3, Vant components, forms, popups, and business components.

GitHub

nestjs

joneqian

NestJS progressive Node.js framework. Use for building scalable server-side applications, TypeScript backend development, dependency injection, modules, controllers, providers, middleware, guards, interceptors,...

GitHub

sequelize

joneqian

Sequelize Node.js ORM for SQL databases. Use for database models, migrations, associations, queries, transactions, validations, hooks, and working with PostgreSQL, MySQL, MariaDB, SQLite, SQL Server.

GitHub

tdesign-miniprogram

joneqian

TDesign Mini Program UI component library by Tencent. Use for building WeChat mini apps with TDesign components, design system, and best practices.

GitHub

vibevibe

joneqian

Vibe Coding 全栈实战教程。涵盖 AI 辅助编程心法、Next.js 全栈开发、与 AI 对话的艺术、PRD 文档驱动开发、UI/UX 设计、数据库、部署等内容。适用于零基础到进阶的 Vibe Coding 学习。

GitHub

agent-browser

joneqian

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web appl...

GitHub

wechat-miniprogram

joneqian

WeChat Mini Program development framework. Use for building WeChat mini apps, WXML templates, WXSS styles, WXS scripting, component development, and WeChat API integration.

GitHub

deepagents

joneqian

LangChain Deep Agents framework for building autonomous coding agents. Use for agent harness, backends, subagents, human-in-the-loop, long-term memory, middleware, and CLI-based agent development.

GitHub

langgraph

joneqian

LangGraph Python framework for building stateful, multi-actor LLM applications. Use for agent workflows, persistence, durable execution, streaming, interrupts, time travel, memory, subgraphs, and production dep...

GitHub

sqlalchemy

joneqian

SQLAlchemy Python SQL toolkit and ORM. Use for database models, queries, sessions, relationships, migrations, async database operations, and working with PostgreSQL, MySQL, SQLite, Oracle, SQL Server.

GitHub

fastapi

joneqian

FastAPI modern Python web framework. Use for building high-performance APIs, async endpoints, dependency injection, Pydantic validation, OpenAPI documentation, OAuth2 security, WebSockets, and Python backend de...

GitHub

process-faq

joneqian

Process and transform FAQ documents (xlsx, word, pdf, txt) into RAG-optimized format. Use when working with FAQ files, knowledge base documents, or when the user needs to analyze and restructure FAQ content for...

GitHub

langchain

joneqian

LangChain Python framework for building LLM applications. Use for chains, agents, memory, document loaders, text splitters, vector stores, retrievers, and LLM integrations like OpenAI, Anthropic, and Google.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.