Anyquery 是一个 SQL 查询引擎，支持通过 SQL 查询 40 多种应用、文件和数据库，包括 GitHub、Notion、Chrome 和 Apple Notes。它基于 SQLite 构建，并提供 MCP 服务器支持，用于将 AI 代理连接到跨服务的结构化数据。
Anyquery 是一个强大的通用 SQL 查询引擎，允许用户使用标准 SQL 语法与 40 多个不同的数据源进行交互，包括流行的应用（如 GitHub、Notion、Chrome 和 Apple Notes）以及文件和数据库。该工具基于 SQLite 构建，通过统一的 SQL 接口简化了跨平台数据查询和分析。一个关键功能是其对模型上下文协议（MCP）服务器的支持，这使得 AI 代理（如 Claude 或 Codex）能够直接连接并查询结构化数据，从而扩展了其能力。此技能对于需要快速整合来自多个来源数据、自动化报告或为 AI 代理提供上下文的开发者和高级用户特别有用。它通过 Homebrew 等包管理器轻松安装，并附带清晰的文档，帮助用户入门。通过利用 MCP，Anyquery 成为增强 AI 驱动工作流程中数据检索和操作的重要工具。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/anyquery-universal-sql-engine-mcp-integrationAnyquery 是一个 SQL 查询引擎，支持通过 SQL 查询 40 多种应用、文件和数据库，包括 GitHub、Notion、Chrome 和 Apple Notes。它基于 SQLite 构建，并提供 MCP 服务器支持，用于将 AI 代理连接到跨服务的结构化数据。
使用适合您环境的官方安装或设置路径：
基本用法或入门说明：
LLM 可以使用 模型上下文协议 (MCP) 连接到 Anyquery。该协议为支持它的 LLM 提供上下文。您可以按如下方式启动 MCP 服务器...
从上游文档提取：https://raw.githubusercontent.com/julien040/anyquery/HEAD/README.md
This repo contains 20 individual skills — each has its own dedicated page.
Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.
Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.
An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.
Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().
Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.
ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.
act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.
Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.
Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.
Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.
Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.
Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.
Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.
Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.
Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.
Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.
Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.
Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.
Calls Adobe Firefly
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.