搜索「Ai Company」的结果

io.github.MervinPraison/PraisonAI/pdf-processing

处理 PDF 文档并提取信息。当用户要求读取、分析或从 PDF 文件中提取数据时使用此技能。

浏览器自动化 agent-browser

io.github.MaxMiksa/Auto-Company/agent-browser

面向 AI agent 的浏览器自动化 CLI。当用户需要与网站交互时使用，包括浏览页面、填写表单、点击按钮、截图、提取数据、测试 Web 应用或自动化任何浏览器任务。触发请求如“open a website”“fill out a form”“click a button”“take a screenshot”“scrape data from a page”“test this web app”“login to a site”“automate browser actions”，或任何需要程序化 Web 交互的任务。

pdf（PDF 文档处理）

io.github.K-Dense-AI/claude-scientific-writer/pdf

PDF 处理工具包。提取文本/表格、创建 PDF、合并/拆分、填写表单，用于程序化文档处理与分析

TypeScript SDK 参考

io.github.CaptainCrouton89/.claude/typescript-sdk-reference

TypeScript Agent SDK 全面参考，包含用于以编程方式与 Claude Code 交互的函数、类型与接口。

Ruflo 多 Agent 编排 ruflo

skillsmp.ruvnet-ruflo-skill-md

Ruflo 是面向 AI 编码 agent（Claude Code、Cursor、Codex、Copilot、Gemini、Amp 及另外 12 家）的多 agent 编排平台。当用户希望：(1)在项目中安装/初始化 ruflo；(2)运行采用分层协同的多 agent swarm；(3)使用 ruflo 的 314+ MCP 工具处理记忆、路由、钩子、sub-agent 或工作流；(4)查看 ruflo 状态/版本/doctor 健康检查；(5)为任务挑选合适的 ruflo 插件（共 30+）时使用本 skill。

暂存审查工作树

io.github.novuhq/novu/nv-park-and-review

把本地改动提交为基线，跳入轻量 review worktree，仅针对该提交做“核弹级”代码质量审查，把由此产生的重构作为独立追加提交落地，然后合回并拆除工作树。当用户要求审查本地未提交改动中的 AI 垃圾代码与冗余代码，或调用 nv-park-and-review 时使用。

GStack 浏览器

io.github.garrytan/gstack/open-gstack-browser

启动 GStack Browser——内置侧边栏扩展、可由 AI 控制的 Chromium。

deepseek-harness-setup

io.github.affaan-m/ECC/deepseek-harness-setup

Install and operate Everything Claude Code (ECC) on the DeepSeek Harness (DSH): native skill roots (~/.dsh/skills, .agents/skills), the @deepseek-ai/dsh-hooks-claude-code bridge for command hooks, bare-insert patch mounting, generator usage, event-support limits, and update workflow. Use when setting up ECC on DeepSeek Harness, wiring ECC hooks into a DSH profile, or debugging why ECC skills or hooks do not appear in a DSH session.

FastGPT Docker 自托管部署

io.github.labring/FastGPT/deploy

FastGPT 的 Docker Compose 自托管部署流程。当用户要求 AI 智能体参照 /deploy/SKILL.md 用 Docker 部署 FastGPT 时使用，包括创建空的 fastgpt 目录、以非交互模式运行安装脚本、启动 Docker Compose、监控服务健康、排查 compose 问题，并返回访问地址、root 账号凭据与后续步骤。

agent-security-hardening

io.github.affaan-m/ECC/agent-security-hardening

Security hardening guidance for AI agent frameworks that process untrusted content, invoke tools, write workspace files, manage runtime identifiers, or handle credentials. Use when building or reviewing an agent runtime, autonomous worker, tool gateway, memory service, or multi-tenant agent deployment. Do not use for general web application security or offensive testing.

Agent x402 支付

io.github.affaan-m/ECC/agent-payment-x402

为 AI Agent 加入 x402 支付执行能力，支持按任务预算、支出管控与非托管钱包。通过 agentwallet-sdk 支持 Base，通过 OKX Payments / OKX Agent Payments Protocol 支持 X Layer。当 Agent 需要自行付费，并需要按任务预算、支出管控与非托管钱包时使用。

Agent x402 支付

io.github.affaan-m/ECC/agent-payment-x402

将 x402 支付执行添加到 AI 代理中——通过 MCP 工具实现每任务预算、支出控制和非托管钱包。当代理需要为 API、服务或其他代理付费时使用。

x402 代理支付

io.github.affaan-m/ECC/agent-payment-x402

让 AI 代理执行 x402 支付：按任务限额、支出控制、非托管钱包。通过 agentwallet-sdk 支持 Base，通过 OKX Payments / OKX 代理支付协议支持 X Layer。

Claude API 参考

io.github.anthropics/skills/claude-api

Claude API / Anthropic SDK 参考——模型 id、定价、参数、流式输出、工具调用、MCP、agent、缓存、token 计数、模型迁移。触发条件：提示中出现任何 Claude/Anthropic 相关名称（Claude、Anthropic、Fable、Opus、Sonnet、Haiku 等）；用户询问 LLM 相关问题（定价/选型/限额/缓存）时不要凭记忆回答；或任务属于 LLM 类且未指明供应商。仅当明确针对其他供应商（OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama）时跳过。

docs-diagrams

io.github.vercel/next.js/docs-diagrams

Draw diagrams for the Next.js docs in the style of the ones already published there: the light/dark PNGs an mdx references with `<Image srcLight="/docs/light/<name>.png" srcDark="/docs/dark/<name>.png">`. Use when a guide or API reference needs a new diagram or an existing one needs a change. Hand-written SVG from a primitives library, rendered by headless Chrome at 2x. No AI image generation.

policy-and-managed-settings（策略与管理设置）

io.github.microsoft/vscode/policy-and-managed-settings

在新增、修改或评审任何 Copilot、agent、LLM、AI、工具、权限、沙箱、MCP、模型、遥测、功能门禁、设置、配置或企业级管控时使用——尤其是组织或管理员可能需要管理的内容。从这里开始判断它应落在运行时管理设置、类型化 SDK 契约、VS Code configuration policy、扩展策略，还是拆分的实现中。每个新的 Copilot/agent/LLM 管控项，以及任何新增 policy: 字段的改动都要执行。

Python MCP server 生成器

io.github.github/awesome-copilot/python-mcp-server-generator

生成包含工具、资源和规范配置的完整 Python MCP server 项目。

gui-automation

io.github.trycua/cua/gui-automation

Use when you need to visually interact with a GUI: test buttons, fill forms, verify visual layouts, fuzz web pages, automate user flows, take screenshots, or perform end-to-end QA on any application. Works on cloud VMs, Docker containers, local machines, and sandboxes. Needs the `cua` CLI (curl -fsSL https://cua.ai/install.sh | sh).

前端 UI 工程

io.github.addyosmani/agent-skills/frontend-ui-engineering

构建生产级、可访问、响应式的用户界面。在构建或修改界面与页面、创建组件、实现布局、满足 WCAG 可访问性要求、管理状态时使用，或当产出需要达到生产质感而非 AI 生成感时使用。

mcp-development

io.github.coollabsio/coolify/mcp-development

Use this skill for Laravel MCP development. Trigger when creating or editing MCP tools, resources, prompts, servers, or UI apps in Laravel projects. Covers: artisan make:mcp-* generators, routes/ai.php, Tool/Resource/Prompt/AppResource classes, schema validation, shouldRegister(), OAuth setup, URI templates, read-only attributes, MCP debugging, MCP UI apps, the x-mcp::app Blade component, createMcpApp(), default AppResource handle() auto-infers view from class name, Response::view(), AppMeta/Csp/Permissions/appMeta() configuration, #[RendersApp] attribute, Library enum for CDN libraries (Tailwind, Alpine), and host theming via CSS variables. Use this whenever the user mentions MCP apps, MCP UI, interactive MCP resources, styling MCP apps with Tailwind or Alpine, or building visual interfaces for AI agents.

infer-conventions

io.github.coollabsio/coolify/infer-conventions

Use this skill to analyze how a Laravel application is actually written and record its conventions as shared rules. Trigger when the user wants to detect, infer, document, or standardize project conventions or coding style, set up or grow `.ai/rules`, resolve mixed or conflicting patterns (e.g. "are we using Form Requests or inline validation?"), or onboard agents and teammates to "how we do things here". Covers: a systematic sweep of ~49 Laravel convention dimensions (validation, models, architecture, testing, frontend, database, console), open-ended house-pattern discovery, conflict reporting, and recording rules scoped to the right paths via the Boost `record-rule` MCP tool. Only run this skill when the user explicitly asks for it; never start a sweep as part of another task. Do not use for one-off code review, enforcing formatting a linter already handles, or editing `.ai/rules` files by hand.

云同步 cloud-sync

io.github.thedotmack/claude-mem/cloud-sync

设置或检查 claude-mem 与 cmem.ai Pro 的云同步。当用户说「set up cloud sync」「sync my memories」「cmem pro」「cloud backup」「sync status」，或希望备份/同步记忆数据库到其 cmem.ai 账户时使用。

ml-adoption-playbook

io.github.affaan-m/ECC/ml-adoption-playbook

End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration. Use when adding a machine learning capability to a codebase that has none, from problem framing through a baseline model.

inherit-legacy-style

io.github.affaan-m/ECC/inherit-legacy-style

Prevent AI style drift on legacy projects by scanning the codebase for implicit conventions, resolving conflicts with the operator one at a time, and writing an enforceable .ai-style-rules.md (Golden Files, naming rules, DONTs) plus an optional CLAUDE.md hook. Use when onboarding an AI agent onto a hand-written legacy codebase or extracting a project's unwritten coding rules.