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Apprise 通用推送通知库与 CLI

Apprise 是一个 Python 库和命令行工具,通过统一的 API 向超过 100 种服务(包括 Telegram、Discord、Slack、Amazon SNS、Gotify、电子邮件等)发送推送通知。它支持附件、图片和异步投递。

Apprise 通用推送通知库与 CLI 是什么?

Apprise 是一个轻量级但功能强大的 Python 库与 CLI 工具,旨在解决多平台推送通知的碎片化问题。它提供单一统一 API,让你只需一行代码或一条命令就能同时向 Telegram、Discord、Slack、邮件、Gotify、Amazon SNS 等 100+ 服务发送通知。该技能尤其适合需要监控、告警或系统集成场景的开发者,例如 CI/CD 流水线状态通知、服务器异常报警、定时任务结果推送等。Apprise 支持 Markdown 消息格式、附件与图片发送,以及异步投递,可显著提升通知的丰富度与可靠性。它兼容所有主流 Python 版本(3.8+),安装简单(`pip install apprise`),并提供详尽的命令行与 API 文档。技能文档中同时包含服务 URL 配置示例表,方便快速上手。该技能可在 Cursor、Codex 等 AI 代理平台中直接调用,亦可作为独立库集成至任意 Python 项目。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apprise-universal-push-notification-library-cli

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Python

文档

Apprise 通用推送通知库与 CLI 是做什么的?

Apprise 是一个 Python 库和 CLI 工具,通过统一 API 向超过 100 种服务发送推送通知,包括 Telegram、Discord、Slack、Amazon SNS、Gotify、电子邮件等。它支持附件、图片和异步投递。

前提条件

Python 3.8+

安装

使用适合你环境的官方安装方式:

  • pip install apprise

上游依赖与注意事项:

  • Python
  • python
  • 要从 Python 应用程序中发送通知,只需执行以下操作:

基本用法或入门指引:

文档

来源

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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act Local GitHub Actions Runner

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Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

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.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

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Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

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Add multimodal lifelong memory to MCP and Python agents with Sim

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Add persistent project memory and hook-driven synthesis with Cla

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Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

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Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

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.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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