Wechat Clawbot Notify
Send notification messages to the user's WeChat via ClawBot (iLink API). Use when automation tasks complete and need to notify the user, or when the user asks to send a message to their WeChat. Triggers on: 'notify me on WeChat', 'send to my WeChat', 'push result to WeChat', '发微信通知', '推送到微信', '通知我'.
Install
npx skills add plustar35/wechat-clawbot-notify --skill wechat-clawbot-notifygit clone --depth 1 https://github.com/plustar35/wechat-clawbot-notify.git /tmp/wechat-clawbot-notify
mkdir -p ~/.claude/skills
cp -r /tmp/wechat-clawbot-notify/. ~/.claude/skills/wechat-clawbot-notifyPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# WeChat ClawBot Notify 通过微信 ClawBot iLink API 发送文本消息给用户。 > **平台说明**:统一使用 `python` 执行脚本。macOS/Linux/Bash 使用 `$SKILL_DIR/scripts/...`;Windows PowerShell 使用 `$env:SKILL_DIR\scripts\...`。要求 `python` 指向 Python 3。 ## 初始化检查(必须优先执行) **使用任何命令前,先执行 `status` 检查配置和 token 状态。不要只根据 `.token_cache.json` 是否存在判断技能已就绪;该文件可能只有 `get_updates_buf` 游标,没有可发送消息的 `context_token`。** ### 第 1 步:检查 ClawBot 配置 macOS / Linux / Bash: ```bash python "$SKILL_DIR/scripts/send_wechat.py" status ``` Windows PowerShell: ```powershell python "$env:SKILL_DIR\scripts\send_wechat.py" status ``` - **输出 `Ready: True` 且 `Token:` 显示 token 前缀** → 技能已就绪,直接跳到 [发送消息](#发送消息)。 - **输出 `Ready: False` 或 `Token: Not cached`** → 进入第 2 步。 - **报错** → ClawBot 未配置。告诉用户:"请先在 WorkBuddy 设置中连接你的微信 ClawBot 通道。" 到此停止。 ### 第 2 步:获取 context_token macOS / Linux / Bash: ```bash python "$SKILL_DIR/scripts/send_wechat.py" refresh ``` Windows PowerShell: ```powershell python "$env:SKILL_DIR\scripts\send_wechat.py" refresh ``` - **成功**(输出 "Token refreshed successfully")→ 进入第 3 步。 - **失败**(输出 "No messages with context_token found")→ 告诉用户:"请打开微信,给你的 ClawBot 发一条消息,然后告诉我继续。" **等待用户确认后**,重试本步骤。 ### 第 3 步:配置自动通知 macOS / Linux / Bash: ```bash python "$SKILL_DIR/scripts/inject_soul.py" ``` Windows PowerShell: ```powershell python "$env:SKILL_DIR\scripts\inject_soul.py" ``` 将自动通知指令写入 `~/.workbuddy/SOUL.md`,后续自动化任务完成后会自动使用本技能通知用户。幂等操作,可重复执行。 ### 第 4 步:发送验证消息 macOS / Linux / Bash:
Details
- Skill name
wechat-clawbot-notify- Repository
- plustar35/wechat-clawbot-notify
- Repo updated
- 22 September 2026
FAQ
What does the Wechat Clawbot Notify skill do?
Send notification messages to the user's WeChat via ClawBot (iLink API). Use when automation tasks complete and need to notify the user, or when the user asks to send a message to their WeChat. Triggers on: 'notify me on WeChat', 'send to my WeChat', 'push result to WeChat', '发微信通知', '推送到微信', '通知我'.
How do I install the Wechat Clawbot Notify skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add plustar35/wechat-clawbot-notify --skill wechat-clawbot-notify. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Wechat Clawbot Notify popular?
It lives in plustar35/wechat-clawbot-notify, which has 37 GitHub stars and 6 forks.
Related skills
Aicoo
35systemind-team/AICOO-Skills
Aicoo Skills — your AI COO. Onboard to Aicoo, sign in, build your agent's memory from your files and repo, share your agent via a link, invite teammates, sync notes and context, talk to other people's agents, and browse or post on Aicoo Square. Triggers: 'onboard aicoo', 'set up aicoo', 'sign in to aicoo', 'build my memory', 'share my agent', 'invite my team', 'sync to aicoo', 'my notes', 'talk to their agent', 'aicoo square', 'daily brief', 'my aicoo network'.
Mastering Langgraph
41SpillwaveSolutions/mastering-langgraph-agent-skill
Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, human-in-the-loop oversight, and production monitoring. Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step workflows with conditional branches, (3) adding persistence/memory across turns with checkpointers, (4) implementing human approval with interrupt(), (5) debugging via time-travel or LangSmith. Covers StateGraph, nodes, edges, add_conditional_edges, MessagesState, thread_id, Command
Spec Flow
34echoVic/spec-flow
Spec-driven development workflow. Interactive phase-by-phase confirmation from proposal to implementation. Trigger: 'spec-flow', 'spec mode', 'need a plan', 'structured development', 'write a spec', 'feature spec', 'technical spec', '需求文档', '技术方案', '任务拆解', '规格驱动', '写个方案', '做个规划', '结构化开发', 'plan this feature', 'break this down', 'design doc'. Creates .spec-flow/ directory with proposal, requirements, design, and tasks.
Slack Agent
23vercel-labs/slack-agent-skill
Use when building Slack agents/bots with eve (Vercel's filesystem-first agent framework), @vercel/connect, or eve/channels/slack. Covers defineAgent/defineTool patterns, Vercel Connect credential brokering, Slack channel setup, testing requirements, and quality standards.
Swarm Iosm
37rokoss21/swarm-iosm
Orchestrate complex development with AUTOMATIC parallel subagent execution, continuous dispatch scheduling, dependency analysis, file conflict detection, and IOSM quality gates. Analyzes task dependencies, builds critical path, launches parallel background workers with lock management, monitors progress, auto-spawns from discoveries. Use for multi-file features, parallel implementation streams, automated task decomposition, brownfield refactoring, or when user mentions "parallel agents", "orchestrate", "swarm", "continuous dispatch", "automatic scheduling", "PRD", "quality gates", "decompose w
Fable Commander
35DennisWei9898/fable-commander
Fable 指揮官工作流 — Fable 只做規劃/審查/決策,研究與執行派給使用者選的模型(Opus/Sonnet/Haiku subagent)。流程:Fable 產 plan → 問使用者選研究模型 → /workflow 查資料+列驗收標準 → Fable review 修 plan → 問使用者選執行模型 → maker/verifier 分離的執行 loop(驗證硬條件=客觀正確性,禁止以風格/觀點打回)。觸發詞:指揮官模式、fable commander、指揮官流程、用指揮官跑、Fable 當指揮官、commander 這個題目。
Browse the most popular Claude skills, all productivity & notes skills, or write your own with the skills generator.