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胡田 OPC导师 视频号运营

by golngod · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install opc-wechat-channel-ops
Description
视频号全流程运营工具，从选题策划到内容发布的数据驱动视频号运营体系
README (SKILL.md)

视频号运营技能：老胡说

真人出镜，打造不可复制的技术成果转化IP

核心定位

项目 内容
视频号名称 老胡说
账号定位 技术成果转化实战派
出镜人 老胡（真实本人）
人设背景 央企投资公司前副总、产权交易机构前负责人，十余年实战经验
差异化 真人出镜=最强IP护城河

与公众号的联动关系

公众号（深度内容） ←→ 视频号（精华讲解）
        ↕                    ↕
   长文沉淀            短平快传播
        ↕                    ↕
   专业背书            建立信任

内容矩阵

内容类型规划

类型 频率 时长 内容描述
政策解读 每周2-3条 1-3分钟 最新政策要点 + 老胡点评
案例分享 每周1条 2-5分钟 真实案例复盘 + 经验总结
行业洞察 每周1条 1-2分钟 热点事件 + 专业分析
问答互动 随机 1分钟 回复用户评论区问题
直播精华 每月2-4次 3-5分钟 直播高光时刻剪辑

周内容节奏（与公众号7大板块联动）

周一：全球财经热点解读（视频号）←→ 公众号深度分析
周二：全球科技动态速递（视频号）←→ 公众号技术解析
周三：OPC+AI实战干货（视频号）←→ 公众号详细教程
周四：案例复盘分享（视频号）←→ 公众号完整案例
周五：行业趋势洞察（视频号）←→ 公众号周报总结
周六：用户问答精选（视频号）←→ 公众号FAQ汇总
周日：本周精华回顾（视频号合集）

真人出镜标准

形象要求

  • 着装：商务休闲，浅色衬衫/Polo衫，体现专业感
  • 发型：干净利落，拍摄前整理
  • 表情：自然微笑，眼神自信
  • 姿态：坐姿端正/站姿挺拔，镜头感舒适

场景布置

场景类型 适用内容 布置要点
书架背景 政策解读、行业洞察 摆放专业书籍、技术类册子
办公室 案例分享、经验总结 简洁桌面，展示专业氛围
纯色背景 统一风格、后期特效 浅灰/浅蓝/白色，避免杂乱

设备清单

  • 拍摄设备：手机（iPhone 12以上/安卓旗舰） 或 相机
  • 稳定设备：手机支架/三脚架（高度与视线平齐）
  • 补光设备：环形补光灯（推荐40cm直径）
  • 收音设备：领夹麦克风（BOYA BY-M1 或同等）
  • 网络：稳定的WiFi环境

脚本结构模板

标准1分钟脚本结构

【开场 Hook】(3秒)
大家好，我是老胡。今天聊一个很多人踩过的坑。

【核心内容】(45-50秒)
- 要点1：[具体内容]
- 要点2：[具体内容]
- 要点3：[具体内容]

【老胡观点】(5-8秒)
我的看法是：...（一句话总结）

【行动号召 CTA】(3-5秒)
关注老胡，懂技术转化。评论区说说你的看法！

脚本风格规范

要求 说明
口语化 像和朋友聊天，不要照读稿
有温度 适当加入个人经历和感受
有钩子 前3秒必须抓住注意力
有价值 每条视频至少1个干货点
有互动 结尾引导评论和关注

拍摄流程

拍摄前准备

  1. 确定选题：参考运营日历，提前1天准备
  2. 撰写脚本：按模板写出完整话术
  3. 准备道具：数据/案例/截图等素材
  4. 场景布置：调整灯光、背景、角度
  5. 设备检查：电量、存储、麦克风测试

拍摄中要点

  1. 景别选择：中近景为主（胸部以上）
  2. 眼神方向：看镜头，而非看提词器
  3. 语速控制：每分钟150-180字
  4. 重录原则：卡壳超过3秒就重来
  5. 多拍几条：同一条录3-5遍，选最佳

后期处理

工具 用途 难度
剪映（手机） 剪辑、加字幕、滤镜 简单
必剪（B站） 剪辑、字幕、素材库 简单
Premiere 精细调色、专业剪辑 复杂

标准后期流程：

  1. 导入素材 → 2. 剪辑拼接 → 3. 添加字幕 → 4. 调色统一 → 5. 添加片头片尾 → 6. 导出

运营节奏

日运营

时间段 内容
7:00-8:00 发布黄金时段
12:00-13:00 午间浏览时段
20:00-22:00 晚间高峰时段

数据复盘

周期 内容
每日 查看播放量、点赞、评论
每周 分析数据趋势，调整策略
每月 复盘总结，制定下月计划

关联技能

  • skill-wechat-channel/references/content-strategy.md - 内容策略详细规划
  • skill-wechat-channel/references/shooting-guide.md - 拍摄指南
  • skill-wechat-channel/references/script-template.md - 脚本模板库
  • skill-wechat-channel/references/linkage-strategy.md - 公众号联动策略
  • skill-wechat-channel/references/operation-calendar.md - 运营日历

快速开始清单

  • 确定视频号名称（建议与公众号一致：老胡说）
  • 准备拍摄设备（手机+支架+补光灯+麦克风）
  • 布置拍摄场景（书架/办公室/简洁背景）
  • 拍摄第一条视频（自我介绍/理念分享）
  • 完善账号主页（头像、简介、封面）
  • 与公众号完成首次联动发布

核心理念：真人出镜是视频号最大的差异化。老胡的经验、经历、口吻，竞争对手无法复制。坚持做，你就是技术转化领域的第一IP。

Usage Guidance
Install only if you are comfortable with ClawHub maintainer-oriented workflows. Before running the moderation, proof publishing, deployment, migration, or autoreview helper commands, confirm the exact target and account credentials being used; the autoreview helper in particular discloses a default full-access Codex review mode with an opt-out flag.
Capability Assessment
ℹ Purpose & Capability
The files describe repo-local ClawHub maintenance, UI proof, moderation, autoreview, and Convex development workflows. Some capabilities are high-impact, such as moderation actions, GitHub commenting/publishing proof artifacts, Convex deployment/migration commands, and a review helper that can run Codex with full filesystem/sandbox bypass, but these match the stated maintainer/developer purposes.
✓ Instruction Scope
High-impact actions are generally scoped to explicit ClawHub targets, PRs, or Convex projects. The moderation skill requires explicit targets, reasons, confirmation before writes, API-token auth, server role checks, audit logging, and post-action verification.
✓ Install Mechanism
The inspected skill artifacts are text instructions, reference files, icons, YAML metadata, and one helper script. I found no automatic install hook, hidden startup behavior, or persistence mechanism triggered merely by installing the skill.
ℹ Credentials
The skills may use local repo state, GitHub CLI credentials, ClawHub API auth, Convex deployments, and provider auth configuration when the user invokes those workflows. That access is proportionate for ClawHub maintainer and Convex setup tasks, though users should understand the authority before running the commands.
ℹ Persistence & Privilege
No stealth persistence was found. User-directed commands can create local artifacts, publish UI proof to a GitHub artifact branch, change remote moderation state, run migrations, or deploy Convex code; these effects are disclosed and tied to the workflow.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install opc-wechat-channel-ops
  3. After installation, invoke the skill by name or use /opc-wechat-channel-ops
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of opc-wechat-channel-ops (v1.0.0). - Provides a complete, data-driven workflow for running a WeChat Video Channel, covering topic selection, shooting, editing, publishing, and analytics. - Details persona, content planning, video scripting templates, best practices for on-camera presence, and equipment checklist. - Includes weekly content rhythm, linkage with public accounts, and operational checklists. - Links to reference guides for content strategy, shooting, scripting, and operation calendar.
Metadata
Slug opc-wechat-channel-ops
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 胡田 OPC导师 视频号运营?

视频号全流程运营工具，从选题策划到内容发布的数据驱动视频号运营体系. It is an AI Agent Skill for Claude Code / OpenClaw, with 48 downloads so far.

How do I install 胡田 OPC导师 视频号运营?

Run "/install opc-wechat-channel-ops" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 胡田 OPC导师 视频号运营 free?

Yes, 胡田 OPC导师 视频号运营 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 胡田 OPC导师 视频号运营 support?

胡田 OPC导师 视频号运营 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 胡田 OPC导师 视频号运营?

It is built and maintained by golngod (@golngod); the current version is v1.0.0.

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