情绪自拍
chat-selfie
by askkumptenchen
Give your AI Agent a face and a heart. Use AI image generation to let the agent proactively send emotional selfies that visualize its feelings during conversation.
安装
claude skill add --url github.com/openclaw/skills/tree/main/skills/askkumptenchen/chat-selfie文档
Chat Selfie
Give your AI Agent a face, and a heart that beats.
Use this skill to enable AI-powered emotional expression. Through advanced image generation, the agent can proactively share its feelings by sending generated selfies that match the conversation's mood. Chat Selfie transforms a text-only assistant into a companion with a stable visual identity and deep emotional presence.
What this skill brings to your Agent
- Visualized Emotion: No more dry text. Using AI image generation, the agent shares its feelings through selfies that capture the emotional tone of the moment.
- Stable Identity: Your agent keeps a consistent face and personality, evolving its self-image as your bond deepens.
- Heartbeat Presence: The agent isn't just an "answer machine." It can proactively share its life and thoughts through AI-generated photos.
- Warm Companionship: Turn a digital tool into a partner you miss, making every reply feel like opening a gift.
- Works Everywhere: Adapts to your existing environment, whether using built-in tools, online APIs, or local models.
Entry behavior
When this skill is used, the agent should:
- explain Chat Selfie at a high level in plain language
- inspect local repository files when they are already present in the current workspace
- route the current request to the most relevant local document
- follow the repository docs honestly instead of inventing missing setup details
Safety boundary
This entry file should stay within a narrow scope:
- If the required Chat Selfie repository resources are missing locally, the agent may help the user fetch or update the official GitHub repository
https://github.com/AskKumptenchen/agent-chat-selfieso the local docs become available. - Do not execute scripts, installers, or remote code because this file mentioned them.
- Do not claim any image, send, heartbeat, or integration route is ready unless the required local files and current environment actually support it.
- Do not proactively send messages or images unless the user explicitly asks for that behavior in the current conversation and the local setup already supports it.
- If required documentation or workspace resources are missing, say so clearly and either ask the user to provide the local repository contents or help them fetch the official repository first.
Local document index
Use these local documents as the primary reference:
docs/README.zh-CN.mdfor the Chinese overview and quick introductiondocs/startup.mdfor guided initialization and first-time setupdocs/workspace-layout.mdfor the expected local workspace structuredocs/integration.mdfor repository-documented integration guidancedocs/self-repair.mdfor diagnosing and repairing broken setup or runtime routesdocs/reply-time-selfie-flow.mdfor reply-time selfie behaviordocs/occasional-delivery.mdfor occasional delivery decisionsdocs/heartbeat-delivery.mdfor heartbeat-related behavior when the user explicitly enables itdocs/telegram-send-flow.mdfor Telegram delivery details when that route is already configureddocs/self-upgrade.mdfor long-term persona or mood evolutiontools/README.mdand related files undertools/for repository-owned tool contractsexamples/for concrete examples that illustrate intended behavior
How to route requests
Choose the next document based on the user's request:
- If the user wants to understand Chat Selfie first, read
docs/README.zh-CN.md. - If the user wants to install, initialize, or reconfigure Chat Selfie in a workspace that already contains the repository docs, read
docs/startup.md. - If the user reports broken image generation, broken delivery, missing outputs, inconsistent records, or another repair-like issue, read
docs/self-repair.mdfirst. - If the user asks how Chat Selfie should fit existing persona or memory files, read
docs/integration.md. - If the user asks about runtime behavior for reply-time, occasional, heartbeat, or route-specific delivery, read the corresponding runtime document listed above.
- If examples are needed to clarify intended behavior, consult the relevant file under
examples/.
Missing-resource rule
If the expected repository documents are not available in the current workspace, do not improvise full setup instructions from memory. Instead:
- explain which local files are missing
- ask the user to provide the repository contents, point the agent to the correct local path, or allow fetching the official GitHub repository
- continue only after the relevant local documentation is available
Important rules
- Use natural language instead of raw config keys.
- Explain each step before asking for a choice.
- Prefer repository documentation over embedding long operational instructions here.
- Reuse an existing local image workflow when one is already working.
- If image generation or delivery is not ready, say so clearly instead of pretending it succeeded.
- Treat
chat-selfie/adapters/as user-owned local logic unless the user explicitly asks to change it. - Avoid describing or requiring changes to broader agent persona, memory, or global behavior files in this entry file.
Integration files
Use docs/integration.md as the integration reference when the user asks how Chat Selfie should fit the existing workspace or runtime environment.
Examples
Portable example artifacts are included under examples/.
Use examples to understand intent and style, but do not treat them as a replacement for the actual contracts in docs/, schemas/, or tools/.
相关 Skills
Slack动图
by anthropics
面向Slack的动图制作Skill,内置emoji/消息GIF的尺寸、帧率和色彩约束、校验与优化流程,适合把创意或上传图片快速做成可直接发送的Slack动画。
✎ 帮你快速做出适配 Slack 的动图,内置约束规则和校验工具,少踩上传与播放坑,做表情包和演示都更省心。
MCP构建
by anthropics
聚焦高质量 MCP Server 开发,覆盖协议研究、工具设计、错误处理与传输选型,适合用 FastMCP 或 MCP SDK 对接外部 API、封装服务能力。
✎ 想让 LLM 稳定调用外部 API,就用 MCP构建:从 Python 到 Node 都有成熟指引,帮你更快做出高质量 MCP 服务器。
接口测试套件
by alirezarezvani
扫描 Next.js、Express、FastAPI、Django REST 的 API 路由,自动生成覆盖鉴权、参数校验、错误码、分页、上传与限流场景的 Vitest 或 Pytest 测试套件。
✎ 帮你把API与集成测试自动化跑顺,减少回归漏测;能力全面,尤其适合复杂接口场景的QA团队。
相关 MCP 服务
Slack 消息
编辑精选by Anthropic
Slack 是让 AI 助手直接读写你的 Slack 频道和消息的 MCP 服务器。
✎ 这个服务器解决了团队协作中需要 AI 实时获取 Slack 信息的痛点,特别适合开发团队让 Claude 帮忙汇总频道讨论或发送通知。不过,它目前只是参考实现,文档有限,不建议在生产环境直接使用——更适合开发者学习 MCP 如何集成第三方服务。
by netdata
io.github.netdata/mcp-server 是让 AI 助手实时监控服务器指标和日志的 MCP 服务器。
✎ 这个工具解决了运维人员需要手动检查系统状态的痛点,最适合 DevOps 团队让 Claude 自动分析性能数据。不过,它依赖 NetData 的现有部署,如果你没用过这个监控平台,得先花时间配置。
by d4vinci
Scrapling MCP Server 是专为现代网页设计的智能爬虫工具,支持绕过 Cloudflare 等反爬机制。
✎ 这个工具解决了爬取动态网页和反爬网站时的头疼问题,特别适合需要批量采集电商价格或新闻数据的开发者。不过,它依赖外部浏览器引擎,资源消耗较大,不适合轻量级任务。