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。
当前PostHog正在开发技能工具集,旨在为开发者提供更多AI辅助功能,帮助优化工作流程。该工具集支持通过市场插件形式安装,也可直接将技能目录复制到项目中的CLAude Skills目录中使用。
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PostHog技能工具集:提升AI辅助工作流的实用方案
当前PostHog正在开发技能工具集,旨在为开发者提供更多AI辅助功能,帮助优化工作流程。该工具集支持通过市场插件形式安装,也可直接将技能目录复制到项目中的CLAude Skills目录中使用。
- Python编程能力
- 开源项目开发经验
- 参与PostHog技能工具集的功能设计
- 编写对应的Claude插件代码
- 测试并优化技能工具的兼容性
- 目前该工具仍处于开发阶段,功能尚未完全成熟
PostHog skills collection A collection of PostHog skills for enhancing AI-assisted workflows. Install as a marketplace Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills: Then install individual plugins: Or browse available plugins: Install individual skills manually Copy any skill directory to .claude/skills/ in your project: Adding a skill to the marketplace Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the marketplace catalog. To make your skill installable: Create your skill directory under the appropriate category in skills/ Add a .claude-plugin/plugin.json: Add your skill files (e.g.,…
README相关领域开发者面临联邦采购数据获取、价格查询、政策法规解读及官方平台操作效率低的问题,亟需可稳定运行的专用工具来提升工作效率与数据准确性。
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面向联邦采购领域的九款确定性MCP服务器开发机会
相关领域开发者面临联邦采购数据获取、价格查询、政策法规解读及官方平台操作效率低的问题,亟需可稳定运行的专用工具来提升工作效率与数据准确性。
- Python编程能力
- MCP服务开发经验
- 联邦采购领域相关知识
- 基于给定需求开发九款符合要求的确定性MCP服务器
- 完成工具的功能测试与优化
- 配合项目方完成后续迭代工作
原文核心:🦞 Stop reading remote sensing papaers manually — RS-PaperClaw auto-tracks, auto-analyzes, and auto-digests remote sensing papers. language:Python stars:192 open source github developer tool github trending fallback recent repository momentum
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用户痛点:thinson/RS-PaperClaw
原文核心:🦞 Stop reading remote sensing papaers manually — RS-PaperClaw auto-tracks, auto-analyzes, and auto-digests remote sensing papers. language:Python stars:192 open source github developer tool github trending fallback recent repository momentum
原文核心:Open-source, local-first AI App Store screenshot editor. language:TypeScript stars:94 open source github developer tool README: Shotluma An AI-first, local-first canvas editor for creating complete iOS App Store screenshot sets in the browser. The AI agent builds real, editable designs instead of flattening your ideas into generated images.
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产品创意:realZachi/shotluma
原文核心:Open-source, local-first AI App Store screenshot editor. language:TypeScript stars:94 open source github developer tool README: Shotluma An AI-first, local-first canvas editor for creating complete iOS App Store screenshot sets in the browser. The AI agent builds real, editable designs instead of flattening your ideas into generated images.
Shotluma An AI-first, local-first canvas editor for creating complete iOS App Store screenshot sets in the browser. The AI agent builds real, editable designs instead of flattening your ideas into generated images. Describe your app, upload raw screenshots, and an AI agent designs the full set — not as opaque bitmaps, but by driving the same editor operations you'd use by hand. Every text layer, gradient, shape, and device mockup it places stays a real canvas element: select it, restyle it, move it, or redo it manually. Then export every artboard at exact store resolutions. Projects live entirely in your browser — no Shotluma account or project backend. The editor itself works without AI cr…
README原文核心:The open source Unity Dev Agent language:Rust stars:705 open source github developer tool README: Locus for Unity - Open Source Unity Dev Agent Scale game development efficiency and free creators from tedious, repetitive work. English | 简体中文 Overview Locus for Unity is an open-source AI Agent for Unity projects. In-editor operations: write C# code, read and modify Unity objects and assets, and complete the full feature development workflow Built-in hot reload: apply C# changes instantly without
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用户痛点:r1n7aro/Locus
原文核心:The open source Unity Dev Agent language:Rust stars:705 open source github developer tool README: Locus for Unity - Open Source Unity Dev Agent Scale game development efficiency and free creators from tedious, repetitive work. English | 简体中文 Overview Locus for Unity is an open-source AI Agent for Unity projects. In-editor operations: write C# code, read and modify Unity objects and assets, and complete the full feature development workflow Built-in hot reload: apply C# changes instantly without
Locus for Unity - Open Source Unity Dev Agent Scale game development efficiency and free creators from tedious, repetitive work. English | 简体中文 Overview Locus for Unity is an open-source AI Agent for Unity projects. In-editor operations: write C# code, read and modify Unity objects and assets, and complete the full feature development workflow Built-in hot reload: apply C# changes instantly without domain reloads, keeping Play Mode state intact Create editor UI with modern web tech: build Unity editor interfaces with Vue.js through the /view command, free of IMGUI's constraints Rider-grade static analysis: surface compiler-grade errors and warnings through built-in Roslyn semantic analysis…
README该产品面向AI领域开发者,旨在解决求职过程中信息不对称、简历适配困难、申请进度难以追踪以及面试经验无法复用等问题,帮助用户更高效地完成求职流程。
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本地优先的AI职业操作系统,解决求职全流程痛点
该产品面向AI领域开发者,旨在解决求职过程中信息不对称、简历适配困难、申请进度难以追踪以及面试经验无法复用等问题,帮助用户更高效地完成求职流程。
- Python编程能力
- 开源项目开发经验
- 产品需求分析能力
- 参与产品功能优化与迭代
- 协助完成用户场景调研
- 提供产品使用反馈与改进建议
- 目前仍处于内部测试阶段,尚未正式对外发布
- 部分核心安全、隐私防护及外部数据整合功能暂未完善
OfferU Your local-first AI Career OS. Understand every job. Tailor every application. Learn from every interview. English · 简体中文 · Quickstart · Demo · Architecture · Docs Local-first · Evidence-driven · Human-controlled [!IMPORTANT] OfferU is currently a local single-user Internal Beta / Public Release Candidate, not a public release. The core local workflow works, but signed installer, previous-release upgrade, clean-machine validation, full security/privacy gates and live external Role Intelligence evidence are still open, so the release verdict stays OFFERUPUBLICRELEASENOTREADY. See STATUS.md for the current evidence. OfferU is not an auto-apply bot: it never submits applications, sends…
README该产品是为飞书开发者打造的AI技能,可通过lark-cli工具快速生成符合品牌规范的51种预设布局的飞书专属幻灯片,支持内容绑定、自动布局校验与本地预览功能,同时内置Cherry Studio主题,可按需调整适配其他品牌需求。
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专为飞书设计的AI幻灯片生成技能
该产品是为飞书开发者打造的AI技能,可通过lark-cli工具快速生成符合品牌规范的51种预设布局的飞书专属幻灯片,支持内容绑定、自动布局校验与本地预览功能,同时内置Cherry Studio主题,可按需调整适配其他品牌需求。
- Python编程能力
- 自动化工具开发经验
- 前端界面设计基础
- 基于预设XML布局生成飞书专属幻灯片
- 实现内容绑定与自动布局校验功能
- 提供本地预览与主题自定义能力
- 处理命令行调用相关的脚本逻辑
Feishu PPT Skill Create and edit native Lark / Feishu slides using 51 reusable XML layouts, explicit content bindings, local previews, and automated checks. Cherry Studio is the bundled default theme; adapt the theme and assets when the user requests another brand. The skill entry point is SKILL.md. It handles Feishu presentations, not general posters or .pptx export. Install Requires Python 3.10+. Install into your agent's skill directory using its normal installation workflow, or clone into a local directory for command-line use: Use the same Python interpreter for all scripts. Resource paths are resolved from the installed skill, not a particular home directory. The skill name is now fei…
README现有JMeter工具缺乏自动化测试结果分析和性能优化功能,该MCP服务器可通过AI能力实现非GUI模式下的测试执行、结果解析及可视化报告生成,帮助用户高效定位性能瓶颈并获取优化建议。
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JMeter集成AI的MCP服务器解决方案
现有JMeter工具缺乏自动化测试结果分析和性能优化功能,该MCP服务器可通过AI能力实现非GUI模式下的测试执行、结果解析及可视化报告生成,帮助用户高效定位性能瓶颈并获取优化建议。
- Python开发能力
- MCP协议理解能力
- 测试工具使用经验
- 通过MCP客户端执行JMeter测试
- 解析JMeter测试结果并生成性能指标
- 输出可视化测试报告及优化建议
🚀 JMeter MCP Server This is a Model Context Protocol (MCP) server that allows executing JMeter tests through MCP-compatible clients and analyzing test results. [!IMPORTANT] 📢 Looking for an AI Assistant inside JMeter? 🚀 Check out Feather Wand 📋 Features JMeter Execution 📊 Execute JMeter tests in non-GUI mode 🖥️ Launch JMeter in GUI mode 📝 Capture and return execution output 📊 Generate JMeter report dashboard Test Results Analysis 📈 Parse and analyze JMeter test results (JTL files) 📊 Calculate comprehensive performance metrics 🔍 Identify performance bottlenecks automatically 💡 Generate actionable insights and recommendations 📊 Create visualizations of test results 📑 Generate HTML reports wit…
README当前有开发者群体面临多款基础设施管理工具部署流程复杂、跨环境一致性差的问题,需要统一的运行时解决方案来简化相关操作。该工具可支持在个人设备、持续集成环境及AI辅助场景下以统一方式构建、验证和部署各类基础设施相关工具,具备较高的市场适配性。
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开源基础设施运行时工具Atmos的潜在商业机会
当前有开发者群体面临多款基础设施管理工具部署流程复杂、跨环境一致性差的问题,需要统一的运行时解决方案来简化相关操作。该工具可支持在个人设备、持续集成环境及AI辅助场景下以统一方式构建、验证和部署各类基础设施相关工具,具备较高的市场适配性。
- 分析目标用户群体的痛点与需求
- 调研Atmos工具的市场表现与竞争态势
- 评估该产品的商业化价值与落地路径
原文核心:Open-source AI gateway on Cloudflare Workers, in TypeScript: OpenAI/Anthropic-compatible chat with SSE streaming, Files + Batch APIs, provider routing with circuit breaking and failover, virtual API keys, per-tenant Durable Object storage, quotas/wallets/budgets, guardrails, response cache, MCP server, durable metering, contract-driven Admin API. language:TypeScript stars:22 open source github developer tool
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用户痛点:lianluo-esign/ferrogate
原文核心:Open-source AI gateway on Cloudflare Workers, in TypeScript: OpenAI/Anthropic-compatible chat with SSE streaming, Files + Batch APIs, provider routing with circuit breaking and failover, virtual API keys, per-tenant Durable Object storage, quotas/wallets/budgets, guardrails, response cache, MCP server, durable metering, contract-driven Admin API. language:TypeScript stars:22 open source github developer tool
该工具可为KiCad用户提供原理图与PCB分析、引脚级连接追踪、设计编辑自动化等功能,支持通过Python等兼容MCP的AI工具语言实现,可帮助设计师快速完成设计验证与嵌入式代码生成。
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KiCad专用MCP服务器:提升电路设计自动化效率
该工具可为KiCad用户提供原理图与PCB分析、引脚级连接追踪、设计编辑自动化等功能,支持通过Python等兼容MCP的AI工具语言实现,可帮助设计师快速完成设计验证与嵌入式代码生成。
- Python编程能力
- KiCad操作能力
- AI工具集成能力
- 分析原理图与PCB设计
- 追踪引脚级连接关系
- 自动执行设计编辑操作
- 生成嵌入式设备树与测试代码
- 完成设计规则验证
KiCad MCP Server A Model Context Protocol (MCP) server for KiCad 9.0+ that lets AI assistants analyze schematics, inspect PCBs, trace connections, validate designs, and generate embedded code. Features Schematic Analysis - Components, nets, symbols, hierarchical sheets PCB Analysis - Footprints, tracks, routing quality, signal/power integrity via pcbnew API Netlist Tracing - 100% accurate pin-level connection tracking Design Validation - ERC/DRC via kicad-cli (headless, CI friendly) Pin Analysis - Pin function detection, conflict analysis, pinmux config Code Generation - Device tree (.dts) and hardware test code generation Project Management - Create KiCad projects from templates Parts Regi…
README当前AI编程智能体开发中缺乏统一的可复用组件,开发者需自行搭建技能库、子智能体及接口服务,流程繁琐且效率低下;该工具包旨在提供预构建的技能、子智能体、MCP服务器及扩展组件,帮助开发者快速集成功能,提升智能体开发效率。
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AI编程智能体可复用组件工具包
当前AI编程智能体开发中缺乏统一的可复用组件,开发者需自行搭建技能库、子智能体及接口服务,流程繁琐且效率低下;该工具包旨在提供预构建的技能、子智能体、MCP服务器及扩展组件,帮助开发者快速集成功能,提升智能体开发效率。
- TypeScript
- 使用工具包中的组件搭建AI编程智能体
- 根据需求定制和扩展工具包内的功能模块
Agent Kit A curated collection of skills, Pi extensions, BB plugins, and instructions for AI coding agents. Skills sync to a shared /.agents/skills directory and are symlinked into Claude Code, Pi, Codex, and other runtimes; AGENTS.md is the single instruction file linked to all of them. Setup Requires mise. Development workflow skills The core of the kit is a development lifecycle where every step is an independently invocable skill, and spec-dev is the thin orchestrator over them: Tool & service skills Remote skills installed during sync (see skills/remote-skills.txt): skill-creator, gh-stack, herdr, bento-slides, tailscale, diagram-design. Extensions (Pi) BB extensions Install the Worksp…
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