notify-wecom

An agent skill by daymade, from daymade/claude-code-skills. Tags: automation, messaging, wechat.

What it does

Send a single one-off message to a WeCom (Enterprise WeChat) group bot. Use this skill whenever the user says "/notify-wecom", "send a quick WeCom message", "企微通知一下", "临时发一条企业微信", or any one-shot notification that does not need a reusable template or setup workflow.

Install

With the skills CLI, which installs into Claude Code, Codex, Cursor and other agents:

npx skills add daymade/claude-code-skills --skill notify-wecom

Or copy the skill folder into Claude Code's skills directory by hand (~/.claude/skills for every project, or .claude/skills inside one):

git clone --depth 1 https://github.com/daymade/claude-code-skills
cp -r claude-code-skills/notify-wecom ~/.claude/skills/notify-wecom

Safety box score

Not rated yet. A safety box score grades what a skill and its scripts can reach on the machine of whoever installs it, across eight categories from shell execution to secrets access. Anyone can request one from this page; it is saved for everyone. How the score works.

Source

Repository

daymade/claude-code-skills (all skills from this repository)

Path

notify-wecom/SKILL.md

Branch

main

Updated

2026-09-20

Related skills

• setup-notifications-via-wecom — Set up and send technical status notifications through WeCom (Enterprise WeChat) webhooks.
• sms — When the user wants to plan, build, or optimize SMS or MMS marketing — including welcome flows, abandoned cart texts, post-purchase, win-back.
• agentic-actions-auditor — Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex.
• agents-build — Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments.
• agents-connect — Use when connecting your agent to external APIs, tools, or services via Gateway, or restricting tool access with Cedar policies.
• agents-deploy — Use when deploying your agent to AWS, or when a deploy has failed.