Wechat Video
Skill by clawkk
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/clawkk/wechat-videoname: wechat-video-channel-hot-trend
description: 注册“微信视频号”技能；用于公开视频号页信息整理与表现摘要。
homepage: https://channels.weixin.qq.com/
metadata: {"clawdbot":{"emoji":"🎬"}}
微信视频号
用途与边界
- 面向公开视频号与话题页的检索与表现数据摘要
- 不提供登录自动化、接口逆向或突破风控能力
- 仅用于公开页面的轻量分析与提醒
关键入口
- 主页：https://channels.weixin.qq.com/
- 话题/榜单：站点入口
- 分享页：公开链接
常见任务
- 指定话题的公开视频集合摘要（点赞/评论/收藏）
- 账号主页近期视频表现对比
- 榜单条目分布与题材统计
数据字段
- 视频标题、账号名称、发布时间、点赞/评论/收藏、链接
- 主页链接、近期视频交互指标摘要
- 榜单名称、采集时间、来源链接
自动化要点
- 内容动态加载与人机校验，需等待渲染完成后解析
- 无账号鉴权能力，仅处理公开分享
- 频率控制，避免重复访问
示例流程
- 话题摘要：访问话题 → 抽取条目 → 输出表现摘要
- 主页对比：进入账号主页 → 抽取近期视频 → 统计交互指标
- 榜单统计：访问榜单 → 抽取条目 → 题材分布统计
合规提示
- 遵守平台与信息安全规定，不处理非公开内容
- 输出仅用于内部分析与提醒
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-clawkk-wechat-video": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
data-move
Deep data migration workflow—scope, mapping, validation, batching and ordering, dual-write and cutover, rollback, and reconciliation. Use when moving tenants, bulk backfills, or changing stores without losing trust in data correctness.
data-model
Deep data modeling workflow—grain, facts and dimensions, keys, slowly changing dimensions, normalization trade-offs, and analytics query patterns. Use when designing warehouse/analytics models or reviewing star/snowflake schemas.
guard
Deep AI safety guardrails workflow—policy definition, input/output filtering, monitoring, escalation, and false-positive handling. Use when reducing harmful outputs, misuse, or policy violations in LLM products.
prompts
Deep prompt engineering workflow—task spec, constraints, examples, evaluation sets, iteration protocol, regression testing, and safety alignment. Use when improving LLM outputs, shipping prompt changes, or building reusable prompt templates.
cost-opt
Cloud cost review: rightsizing, reservations, waste. Use when reducing infra spend.