Opportunity radar
海外机会工作台
把工作机会、创业线索、GitHub 趋势和模型工具发布压成一个可复核队列。先分层,再行动。
该工具可通过简单命令自动为电影生成包含旁白、字幕的总结视频,支持多种语言字幕及LLM驱动的脚本生成功能。
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基于提示词生成带旁白的电影总结视频工具
该工具可通过简单命令自动为电影生成包含旁白、字幕的总结视频,支持多种语言字幕及LLM驱动的脚本生成功能。
- Python编程能力
- LLM应用能力
- 自动化脚本开发能力
- 使用Python实现电影总结视频的自动化生成
- 集成文本转语音功能并处理字幕生成
- 支持多语言字幕及风格模仿功能
- 未明确说明商业授权模式
- 部分高级功能可能需要额外配置云服务资源
🎬 Movie Narrator One Prompt → One Narrated Movie Video Movie Narrator is an open-source toolkit that automatically generates movie recap videos with narration, subtitles, and rendered output from a simple command. Features 🎬 LLM-powered movie recap script generation 🔊 Text-to-Speech narration (Edge-TTS by default) 💬 Automatic SRT subtitle generation 🌐 Multi-language subtitles with LLM translation 🏁 Multi-candidate horse race — run N variations, auto-pick the best 🎯 Reference video imitation — extract style from viral narration 👁️ VLM scene captioning via cloud VLM API 🎭 Narrator perspective (omniscient / character / detective) 🎨 Render template system (title cards, watermarks, slogans) 🔍 TM…
README该平台每日更新经过筛选的DeepSeek Harness相关插件、扩展工具、技能资源及配套文档,覆盖模型提供商、自动化功能、运行时环境等多类内容,所有条目均附有官方GitHub仓库链接与权威参考信息。
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每日精选的DeepSeek Harness插件目录
该平台每日更新经过筛选的DeepSeek Harness相关插件、扩展工具、技能资源及配套文档,覆盖模型提供商、自动化功能、运行时环境等多类内容,所有条目均附有官方GitHub仓库链接与权威参考信息。
- GitHub使用能力
- 基础编程能力
- 筛选优质DeepSeek Harness相关资源并整理上架
- 部分插件可能存在权限风险,需提前核查代码与授权设置
Awesome DeepSeek Harness Plugins English | 简体中文 A concise, daily-curated directory of public plugins and extensions for DeepSeek Harness (DSH), the open-source DeepSeek agent harness. Explore tools, skills, model providers, memory, automation, runtimes, desktop clients, browser integrations, and developer utilities. Every entry links to its canonical GitHub repository, current star count, and independently verified references. Inclusion: public, useful, maintained, and clearly built for DSH. Review a plugin's code and permissions before installing it. Core Taxonomy: Models & Providers · Tools & Skills · Sessions & Storage · Loops & Scheduling · Runtime & Sandboxes · UI & Clients · Integrati…
README该工具可为AI助手提供真实的网页搜索、整页内容读取功能,同时支持多源信息整合并附带真实可查的引用,避免虚假信息输出。
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支持真实网页搜索与引用的AI助手开发工具
该工具可为AI助手提供真实的网页搜索、整页内容读取功能,同时支持多源信息整合并附带真实可查的引用,避免虚假信息输出。
- Go语言开发能力
- 基于该需求实现网页搜索、整页读取及多源引用整合功能
现有针对Next.js的开源模板数量有限,无法满足前端开发、API集成及开发者体验优化等多方面需求,亟需一套功能完善的模板来提升开发效率与项目质量。
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面向开发者的Next.js开源模板套件
现有针对Next.js的开源模板数量有限,无法满足前端开发、API集成及开发者体验优化等多方面需求,亟需一套功能完善的模板来提升开发效率与项目质量。
- TypeScript
- Next.js
- React
- Oxlint
- Oxfmt
- Tailwind CSS
- 使用该模板完成项目开发
- 根据需求优化模板的功能与配置
- 参与模板的相关维护与迭代
该产品为团队和应用程序提供开源的自托管多智能体AI基础设施,支持云端与本地模型,可集成各类工具,同时能打通Slack、ERPNext、Discord、Gmail等业务系统的工作流并实现自动化操作。
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开源多智能体AI基础设施,助力团队实现应用自动化
该产品为团队和应用程序提供开源的自托管多智能体AI基础设施,支持云端与本地模型,可集成各类工具,同时能打通Slack、ERPNext、Discord、Gmail等业务系统的工作流并实现自动化操作。
- Python编程能力
- 基于该框架搭建多智能体解决方案
- 实现AI驱动的确定性工作流自动化
- 在保障数据安全的前提下管理多渠道通信
- 编排复杂业务工作流
- 项目目前仍处于开发阶段,功能可能尚未完全成熟
HUF Open-source AI infrastructure for any app. Build multi-agent solutions, automate AI-driven deterministic workflows, and keep your data under your control. HUF is a complete, self-hosted AI layer built on open standards. It gives teams everything needed to create intelligent multi-agent solutions, ground them in real data, execute secure code sandboxes, manage multi-channel communication gateways, and orchestrate complex workflows — without sending data to third-party platforms or rebuilding infrastructure from scratch. Documentation | Report Issue | Discussions Note: HUF is under active development. Why HUF AI adoption inside organizations is fragmented: Knowledge lives in too many plac…
README该开源开发工具为Claude Code集成28家以上的市场拓展数据源,提供了包括邮件内容优化、目标市场分析、有效信号挖掘、工作变动检测以及外联自动化在内的10项AI智能技能,帮助开发者提升工作效率。
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Claude Code适用的10项AI智能工具技能
该开源开发工具为Claude Code集成28家以上的市场拓展数据源,提供了包括邮件内容优化、目标市场分析、有效信号挖掘、工作变动检测以及外联自动化在内的10项AI智能技能,帮助开发者提升工作效率。
- TypeScript
- 开源项目开发
- 市场拓展数据分析
- 使用Deepline CLI整合市场拓展数据源
- 开发对应AI智能技能模块
- 优化工具的易用性与性能
- 项目更新频率较低可能影响功能迭代
- 依赖外部数据源的服务稳定性存在不确定性
该项目旨在为Claude Desktop等支持MCP协议的客户端打造浏览器自动化功能,通过统一的模型上下文协议实现浏览器操作与后端服务的对接,简化浏览器自动化流程的配置与管理。
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基于MCP协议的浏览器自动化工具开发项目
该项目旨在为Claude Desktop等支持MCP协议的客户端打造浏览器自动化功能,通过统一的模型上下文协议实现浏览器操作与后端服务的对接,简化浏览器自动化流程的配置与管理。
- Python编程
- MCP协议理解
- 前端自动化工具使用
- 参与浏览器自动化引擎的封装开发
- 实现MCP工具的对接逻辑
- 优化配置管理机制与安全性设计
- 处理浏览器操作相关的异常场景
- 项目处于测试阶段,功能稳定性尚未完全验证
- 开源项目的长期维护机制未明确说明
MCP Browser Use Server Model Context Protocol (MCP) server that wires browser-use into Claude Desktop and other MCP compatible clients. Overview This repository provides a beta MCP wrapper around the browser-use automation engine. It exposes a single MCP tool (runbrowseragent) that orchestrates a browser session, executes the browser-use agent, and returns the final result to the client. The layout keeps configuration in one place, makes security boundaries testable, and isolates upstream browser-use migrations from the MCP interface. Key Capabilities Automated browsing – Navigate, interact with forms, control tabs, capture screenshots, and read page content through natural-language instruc…
README这条内容主要是一条趋势线索线索,正文前几句在说:The simplest demo of chrome automation by python and selenium in AWS Lambda language:Dockerfile stars:616 open source github developer tool github trending fallback recent repository momentum README: docker-selenium-lambda This is minimum demo of headless chrome and selenium on container image on AWS Lambda This image goes with these versions. These are automatically updated and tested everyday. Python 3.14.8 chromium 155.0.8059.79 chromedriver 155.0.8059.79 selenium 4.51.0 Running the demo Publ。先判断它是不是你要找的方向,再决定要不要继续打开原文。
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趋势线索:umihico/docker-selenium-lambda
这条内容主要是一条趋势线索线索,正文前几句在说:The simplest demo of chrome automation by python and selenium in AWS Lambda language:Dockerfile stars:616 open source github developer tool github trending fallback recent repository momentum README: docker-selenium-lambda This is minimum demo of headless chrome and selenium on container image on AWS Lambda This image goes with these versions. These are automatically updated and tested everyday. Python 3.14.8 chromium 155.0.8059.79 chromedriver 155.0.8059.79 selenium 4.51.0 Running the demo Publ。先判断它是不是你要找的方向,再决定要不要继续打开原文。
- Python
- Selenium
- Docker
- AWS Lambda
- 了解该项目实现的无头浏览器自动化原理
- 参考项目代码优化自己的自动化方案
docker-selenium-lambda This is minimum demo of headless chrome and selenium on container image on AWS Lambda This image goes with these versions. These are automatically updated and tested everyday. Python 3.14.8 chromium 155.0.8059.79 chromedriver 155.0.8059.79 selenium 4.51.0 Running the demo Public image is available If you want your image simpler and updated automatically, rewrite the Dockerfile with the following commands: Available tags are listed here Side Project Are you interested in Node.js or Playwright? Please check out docker-playwright-lambda If you don't want to create functions each time for each purpose, Please check out pythonista-chromeless
README这条内容主要是一条趋势线索线索,正文前几句在说:This repository contains resources and materials for courses and presentations related to AI Agents and Agentic Systems for Cybersecurity Operations by Omar Santos. language:Python stars:230 open source github developer tool github trending fallback recent repository momentum README: AI Agents for Cybersecurity This repository contains resources and materials for several courses by Omar Santos. Repository Structure The repository is structured with six comprehensive parts covering the spectrum f。先判断它是不是你要找的方向,再决定要不要继续打开原文。
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趋势线索:santosomar/AI-agents-for-cybersecurity
这条内容主要是一条趋势线索线索,正文前几句在说:This repository contains resources and materials for courses and presentations related to AI Agents and Agentic Systems for Cybersecurity Operations by Omar Santos. language:Python stars:230 open source github developer tool github trending fallback recent repository momentum README: AI Agents for Cybersecurity This repository contains resources and materials for several courses by Omar Santos. Repository Structure The repository is structured with six comprehensive parts covering the spectrum f。先判断它是不是你要找的方向,再决定要不要继续打开原文。
AI Agents for Cybersecurity This repository contains resources and materials for several courses by Omar Santos. Repository Structure The repository is structured with six comprehensive parts covering the spectrum from basic AI concepts to advanced agentic implementations: part1foundationaltopics/: Foundational examples covering chat models, embeddings (with TensorFlow Projector visualization), interactive chatbots, and integration with various model providers (OpenAI, Hugging Face, Ollama) part2prompttemplates/: Advanced prompt engineering techniques, template systems, and structured prompting strategies for cybersecurity applications part3promptchaining/: Sophisticated prompt chaining wor…
README这条内容主要是一条趋势线索线索,正文前几句在说:The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible. language:Python stars:5821 open source github developer tool github trending fallback recent repository momentum README: AReaL : A Large-Scale Asynchronous Reinforcement Learning System WeChat (微信) Group | AReaL is a reinforcement learning (RL) infrastructure designed to bridge foundation model training with modern agent-based applications.。先判断它是不是你要找的方向,再决定要不要继续打开原文。
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趋势线索:areal-project/AReaL
这条内容主要是一条趋势线索线索,正文前几句在说:The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible. language:Python stars:5821 open source github developer tool github trending fallback recent repository momentum README: AReaL : A Large-Scale Asynchronous Reinforcement Learning System WeChat (微信) Group | AReaL is a reinforcement learning (RL) infrastructure designed to bridge foundation model training with modern agent-based applications.。先判断它是不是你要找的方向,再决定要不要继续打开原文。
AReaL : A Large-Scale Asynchronous Reinforcement Learning System WeChat (微信) Group | AReaL is a reinforcement learning (RL) infrastructure designed to bridge foundation model training with modern agent-based applications. It was originally developed by researchers and engineers from Tsinghua IIIS and the AReaL Team at Ant Group. Built on a fully asynchronous RL training paradigm, AReaL is optimized for efficiency and scalability, making it particularly well-suited for training large-scale reasoning and agentic models. AReaL’s mission is to make building AI agents accessible, efficient, and cost-effective for a broad community of developers and researchers. Like milk tea - customizable, scal…
README这条内容主要是一条趋势线索线索,正文前几句在说:An opinionated starting point for awesome, reusable Swift 6 modules language:Swift stars:489 open source github developer tool github trending fallback recent repository momentum README: White Pawn [!TIP] This template is a starting point you can use for every Swift module. We offer: A Swift package, tests, and an example app Continuous integration with the Swift package workflows Automated releases with Release Please and SLSA provenance attestation An MIT license and a .gitignore Run swift TEM。先判断它是不是你要找的方向,再决定要不要继续打开原文。
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趋势线索:fulldecent/swift6-module-template
这条内容主要是一条趋势线索线索,正文前几句在说:An opinionated starting point for awesome, reusable Swift 6 modules language:Swift stars:489 open source github developer tool github trending fallback recent repository momentum README: White Pawn [!TIP] This template is a starting point you can use for every Swift module. We offer: A Swift package, tests, and an example app Continuous integration with the Swift package workflows Automated releases with Release Please and SLSA provenance attestation An MIT license and a .gitignore Run swift TEM。先判断它是不是你要找的方向,再决定要不要继续打开原文。
White Pawn [!TIP] This template is a starting point you can use for every Swift module. We offer: A Swift package, tests, and an example app Continuous integration with the Swift package workflows Automated releases with Release Please and SLSA provenance attestation An MIT license and a .gitignore Run swift TEMPLATE/configure.swift to fill in the project name and the other placeholders. TEMPLATE/Recipe.md walks through the same result starting from Xcode. What is in-scope for this template? We the people who publish reusable Swift modules, in order to hand every module a tested package, an example app, and a release, maintain this starting point. Swift 6 Module Template must remain broad—a…
README这条内容主要是一条趋势线索线索,正文前几句在说:🕷 Automatically detects changes to the official Telegram sites, beta clients, MTProto servers and mini apps language:Python stars:365 open source github developer tool github trending fallback recent repository momentum。先判断它是不是你要找的方向,再决定要不要继续打开原文。
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趋势线索:MarshalX/telegram-crawler
这条内容主要是一条趋势线索线索,正文前几句在说:🕷 Automatically detects changes to the official Telegram sites, beta clients, MTProto servers and mini apps language:Python stars:365 open source github developer tool github trending fallback recent repository momentum。先判断它是不是你要找的方向,再决定要不要继续打开原文。
- Python编程能力
- 使用该工具监控Telegram相关服务的变化