Chatwoot 开源客户互动与全渠道支持平台 是做什么的?
Chatwoot 是一个自托管、开源的客户互动平台,在统一座席仪表盘中提供实时聊天、电子邮件、社交媒体和消息渠道支持。它是 Intercom、Zendesk 和 Freshdesk 的替代方案,并提供完整的 API 访问以实现自动化。
安装
来自上游的要求和注意事项:
Chatwoot 是一个自托管、开源客户互动平台,在统一的客服仪表板中提供实时聊天、电子邮件、社交媒体和消息渠道支持,可作为 Intercom、Zendesk、Freshdesk 的替代方案,并具备完整的 API 接口以实现自动化。
Chatwoot 是一款功能强大的开源客户互动平台,支持自托管部署。它能够将实时聊天、电子邮件、社交媒体(如 Twitter、Facebook)以及多种消息渠道(包括 WhatsApp、短信等)整合到统一的客服仪表板中,帮助团队高效处理来自不同渠道的客户咨询。作为 Intercom、Zendesk 和 Freshdesk 的替代方案,Chatwoot 提供了完整的 REST API 和 Webhook 支持,便于开发者进行自动化集成和工作流定制。该平台基于 Ruby on Rails 和 Vue.js 构建,可通过 Docker 容器方便地部署在任何基础设施上。无论是中小型企业还是大型团队,Chatwoot 都能通过其开源特性提供灵活、可扩展的客户沟通解决方案,并且拥有活跃的社区和丰富的插件生态。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/chatwoot-open-source-customer-engagement-omnichannel-support来自技能 README
Chatwoot 是一个自托管、开源的客户互动平台,在统一座席仪表盘中提供实时聊天、电子邮件、社交媒体和消息渠道支持。它是 Intercom、Zendesk 和 Freshdesk 的替代方案,并提供完整的 API 访问以实现自动化。
来自上游的要求和注意事项:
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.