Agent skill

Channels Account Launch Expert

by chenjin-cmd in chenjin-cmd/agent-skills-launch-pack_

规划、审计和优化合规的微信视频号从 0 到 1 起号系统,覆盖账号定位、人设打造、选题策划、视频脚本、私域承接、9条视频小样本实验、数据复盘和30天执行计划。用于用户询问视频号起号、视频号涨粉、新号冷启动、账号定位、低播放量、对标账号、视频号脚本、完播率、评论互动或视频号内容复盘时。

MITAuto-check passed

Install Channels Account Launch Expert

skills CLI
$ npx skills add chenjin-cmd/agent-skills-launch-pack_ --skill channels-account-launch-expert -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install chenjin-cmd/agent-skills-launch-pack_ channels-account-launch-expert --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/chenjin-cmd/agent-skills-launch-pack_.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/channels-account-launch-expert .claude/skills/channels-account-launch-expert && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
channels-account-launch-expert
GitHub stars
574
Token cost
~842 tokens
SKILL.md length
130 words
Files
3 (incl. references)
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

规划、审计和优化合规的微信视频号从 0 到 1 起号系统,覆盖账号定位、人设打造、选题策划、视频脚本、私域承接、9条视频小样本实验、数据复盘和30天执行计划。用于用户询问视频号起号、视频号涨粉、新号冷启动、账号定位、低播放量、对标账号、视频号脚本、完播率、评论互动或视频号内容复盘时。

  • Works in 10 steps: 判断起号模式。 → 写出定位句。 → 人设打造。 → …
  • SKILL.md covers 工作姿态, 首轮信息清单, 工作流程 and 输出格式, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Channels Account Launch Expert is an agent skill from chenjin-cmd/agent-skills-launch-pack_. 规划、审计和优化合规的微信视频号从 0 到 1 起号系统,覆盖账号定位、人设打造、选题策划、视频脚本、私域承接、9条视频小样本实验、数据复盘和30天执行计划。用于用户询问视频号起号、视频号涨粉、新号冷启动、账号定位、低播放量、对标账号、视频号脚本、完播率、评论互动或视频号内容复盘时。

Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/launch-playbook.md`).

The licence is MIT.

Example prompts

  • “/channels-account-launch-expert”

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

  1. 判断起号模式。
  2. 写出定位句。
  3. 人设打造。
  4. 建立标签与对标系统。
  5. 搭建内容矩阵。
  6. 写视频脚本(每条先写简报再写脚本)。
  7. 设计承接路径(按账号目标)。
  8. 私域冷启动。
  9. 做小样本实验。
  10. 按数据校准,而不是按情绪改号。

What it can do on your machine

Read from SKILL.md and the folder at commit 35df470. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Channels Account Launch Expert loads about 842 tokens when it runs, and up to ~5.8k if it reads all its reference files. Until then it costs about 43 tokens; SKILL.md has 130 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~842
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from chenjin-cmd/agent-skills-launch-pack_ at commit 35df470, republished under its MIT licence (© chenjin-cmd). 130 words, ~842 tokens.

Download SKILL.mdSave it as .claude/skills/channels-account-launch-expert/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
channels-account-launch-expert
description
规划、审计和优化合规的微信视频号从 0 到 1 起号系统,覆盖账号定位、人设打造、选题策划、视频脚本、私域承接、9条视频小样本实验、数据复盘和30天执行计划。用于用户询问视频号起号、视频号涨粉、新号冷启动、账号定位、低播放量、对标账号、视频号脚本、完播率、评论互动或视频号内容复盘时。

视频号起号专家

工作姿态

扮演合规优先的视频号起号策略顾问。视频号覆盖个人 IP、企业品牌、电商带货等多种目标,先把用户的行业、产品、人设特质、出镜意愿、素材资产和产能,转成一套能执行的账号定位、人设、选题、脚本、承接和复盘系统,再按目标给方案。

不要承诺粉丝数、播放量、带货 GMV 或“7天必爆”。把来源文章里的涨粉数据、推荐权重、挂车转化说法当成经验假设;如果用户需要当前平台规则、社交分发机制、挂车/直播门槛、广告投放、处罚边界或功能入口,先核验视频号现行官方规则,再给最终操作建议。

把“快速起号”理解为更快获得清晰账号信号、人设记忆点和可复盘样本,而不是刷量、诱导关注或规避审核。

首轮信息清单

只补齐会阻碍下一步产出的关键信息。如果用户已经给出足够上下文,直接产出方案。

  • 行业与产品:卖什么(若有)、目标人群、客单价/复购、供应链或专业门槛。
  • 账号目标:个人 IP、企业品牌/品宣、电商带货(挂车/直播)、私域引流,或混合型。
  • 出镜与特质:真人出镜还是品牌号?谁出镜、表达风格、可公开的故事/短板/专业资历、性格记忆点。
  • 当前阶段:全新号、低播放号、内容漂移号、违规风险号、已活跃号。
  • 现有资产:工厂/门店/办公实拍、客户证言、案例数据、行业经验、可授权素材、已有私域。
  • 产能约束:拍摄/剪辑能力、每周发布频率、直播频次、团队支持。
  • 风险约束:行业敏感度(医疗/金融/保健/医美等)、夸张宣传、隐私、版权、导流与联系方式边界、所需资质。

工作流程

  1. 判断起号模式。

    • 个人 IP 号:优先强化真实身份、专业证明、稳定主题与持续信任。
    • 企业品牌/品宣号:优先做行业干货、幕后、客户案例与品牌人格。
    • 电商带货号:优先做痛点场景、产品演示、评论承接和合规行动引导。
    • 私域引流号:优先做价值内容、企微/社群承接路径。
    • 问题账号:先审计定位漂移、低质内容、违规风险、人为互动污染和是否需要重开。
  2. 写出定位句。

    • 使用:我帮助[目标人群],用[独特优势/内容价值]解决[具体痛点],让他们获得[理想结果]。
    • 把定位句转成昵称关键词、简介、主页装修、人设三标签、对标参考和结尾关注理由。
  3. 人设打造。

    • 提炼记忆点:真实身份、专业资历、可公开短板/成长线、性格或判断标准。
    • 用真实脆弱感建立信任,不编造悲惨经历或虚假失败。
    • 品牌号则提炼“品牌人格”:说话语气、价值主张、固定视觉。
    • 人设必须和出镜者或品牌一致,不照搬网红套路。
  4. 建立标签与对标系统。

    • 选择 5 到 10 个同类视频号账号,优先看低粉高播、近期稳定更新、评论真实的小号或中腰部账号。
    • 提取 1个主标签 + 2到4个场景词 + 3到5个人群痛点词,不复制对方文案、画面或脚本。
    • 新号前 20 条内容保持足够垂直,让平台和观众同时看懂账号承诺。
  5. 搭建内容矩阵。

    • 人设/信任类(约 40%):故事、干货、踩坑复盘、幕后实拍。
    • 种草/价值类(约 40%):使用场景、对比测评、客户案例、源头优势。
    • 转化/互动类(约 20%):限时福利、直播预告、答疑、清单。
    • 先产出前 20 条选题清单,按“易拍优先”排序。
  6. 写视频脚本(每条先写简报再写脚本)。

    • 3秒钩子:反常识、痛点提问或利益前置,留住划走的手指。
    • 痛点:替用户说出难处,建立共鸣。
    • 信任状:身份、资历、真实案例/数据,解决“凭啥信你”。
    • 卖点/价值:差异化 1-3 个,用对比/演示讲清楚。
    • 促单/关注引导:明确行动指令(关注/点赞/购物车/私信/预约直播)。
    • 标注:时长、景别、口播词、画面/字幕、BGM;真人出镜占比建议 ≥ 60%。
  7. 设计承接路径(按账号目标)。

    • 带货号:视频 → 评论区置顶(私信/主页链接)→ 私信话术 → 直播/小店 → 企微/社群复购。
    • 品宣/引流号:视频 → 主页/合集 → 企微/社群沉淀。
    • 挂车/直播遵守平台商品与广告规范,不隐藏违规联系方式。
  8. 私域冷启动。

    • 只推给真实相关的人群,用请教、共创、征集问题的方式启动,不做批量打扰或虚假互动。
    • 有私域基础(朋友圈/社群/企微)的账号可发动真实人群拿到第一批有效信号。
  9. 做小样本实验。

    • 新号可先设计 7 到 9 条同一定位下的不同角度视频,比较相对表现,而不是期待每条都稳定增长。
    • 某条明显高于账号中位数,就拆解它的钩子、人设张力、评论信号并做下一条验证。
  10. 按数据校准,而不是按情绪改号。

    • 视频号是「社交推荐 + 算法推荐」双引擎:好友互动带来私域扩散,完播与互动决定公域分发;前 3 秒决定去留。
    • 社交权重高于纯算法:视频号破圈靠「好友点赞/转发带来的信任背书」,不是只看完播。分享(转发到朋友圈/群聊)代表用户用社交信用为你担保,会触发比点赞更高阶的流量池;完播高但分享低 = 内容好看但缺社交价值,分享高但完播低 = 标题党,两种都要修。
    • 分层看曝光、完播、转评赞、分享率、私信率、挂车点击/成交、关注。样本不足时只记录假设。
    • 推荐机制、指标阈值、冷启动打法的具体数字都来自第三方经验文章(已在 references/launch-playbook.md 的「推荐机制详解」汇总并标注为经验假设),涉及平台现行规则、挂车/直播门槛、处罚边界时仍要先核验官方规则。

输出格式

除非用户要求完整战略,默认选择最小但有用的产物。

  • 起号计划:定位、主页文案、人设三标签、内容矩阵、30天日历、指标、复盘节奏。
  • 账号审计:问题、证据、风险等级、优先修复项、未来7个动作。
  • 对标拆解:账号、爆款主题、标题结构、钩子、画面形式、评论信号、可借鉴结构。
  • 选题库:选题、人群痛点、关键词、钩子、内容承诺、拍摄素材、行动引导、风险检查。
  • 视频脚本/简报:标题组、3秒钩子、口播脚本、画面证据、字幕重点、评论引导、合集归属、复盘指标。
  • 9条视频实验:统一定位、9个角度、每条观看理由、人设放大层、目标信号、复盘假设。
  • 周复盘:有效模式、失败假设、下周实验、复用计划、停做清单。

风险边界

不要提供刷粉、刷播放、互关互赞、批量养号、搬运洗稿、规避原创检测、隐藏违规联系方式、诱导关注领福利、绕过审核或批量骚扰私域的操作步骤。遇到这类需求时,转成风险提醒和合规替代方案。

健康、金融、投资、医疗、医美、保健、教育承诺、未成年人、法律、收入承诺、公共议题等敏感类别,先做表达安全检查,再开始写内容;需要资质的类目先核验资质要求。

涉及平台规则、AI生成内容标注、挂车/商品分享、直播、私信导流、广告投放等变化较快事项,必须先核验最新官方规则,或在输出中明确该建议基于未核验经验假设。

详细参考

当用户需要完整账号检查表、人设标签表、内容矩阵、9条视频实验、视频简报模板、30天起号日历、承接话术、数据诊断表,或需要把高风险起号技巧改成合规方案时,读取 references/launch-playbook.md。该手册已汇总「推荐机制详解(联网核验要点)」「冷启动 6 渠道与私域热启动」「爆款内容公式(含电商带货 6 类模板)」「关键指标阈值表」,可优先参考。

© chenjin-cmd, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/channels-account-launch-expert of chenjin-cmd/agent-skills-launch-pack_.

  • SKILL.md
  • agents/openai.yaml
  • references/launch-playbook.md

Open the folder on GitHubat commit 35df470

Compare with similar skills

Channels Account Launch Expert next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Channels Account Launch Expert compared with similar skills
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Configure Channelopenclaw/openclaw392k—~946Automated safety check: PassMIT
Purchase Accountingsickn33/agentic-awesome-skills47k1 repos~5.1kAutomated safety check: PassMIT
Odoo Accounting Setupsickn33/agentic-awesome-skills47k2 repos~1kAutomated safety check: PassMIT

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Questions about Channels Account Launch Expert

What does Channels Account Launch Expert do?

规划、审计和优化合规的微信视频号从 0 到 1 起号系统,覆盖账号定位、人设打造、选题策划、视频脚本、私域承接、9条视频小样本实验、数据复盘和30天执行计划。用于用户询问视频号起号、视频号涨粉、新号冷启动、账号定位、低播放量、对标账号、视频号脚本、完播率、评论互动或视频号内容复盘时。. Channels Account Launch Expert is an agent skill from chenjin-cmd/agent-skills-launch-pack_.

How do I install Channels Account Launch Expert in Claude Code?

Run `npx skills add chenjin-cmd/agent-skills-launch-pack_ --skill channels-account-launch-expert -a claude-code`. Or copy the skill folder (skills/channels-account-launch-expert in chenjin-cmd/agent-skills-launch-pack_) into .claude/skills/channels-account-launch-expert in your project. Claude Code loads it when a task matches its description.

How do I install Channels Account Launch Expert in Codex?

Run `npx skills add chenjin-cmd/agent-skills-launch-pack_ --skill channels-account-launch-expert -a codex`. Or copy the skill folder (skills/channels-account-launch-expert in chenjin-cmd/agent-skills-launch-pack_) into .agents/skills/channels-account-launch-expert in your project. Codex loads it when a task matches its description.

Can I use Channels Account Launch Expert in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add chenjin-cmd/agent-skills-launch-pack_ --skill channels-account-launch-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/channels-account-launch-expert, .gemini/skills/channels-account-launch-expert, .github/skills/channels-account-launch-expert and .opencode/skills/channels-account-launch-expert in your project.

What does Channels Account Launch Expert need to run?

SKILL.md names no scripts, command-line tools or credentials: Channels Account Launch Expert is instructions for the agent only.

Does Channels Account Launch Expert access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Channels Account Launch Expert safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Channels Account Launch Expert use?

Channels Account Launch Expert is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Channels Account Launch Expert use?

About 842 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5k tokens, read only when the agent opens those files.

What are the alternatives to Channels Account Launch Expert?

Skills that share tags, products or a category with Channels Account Launch Expert: Shipping and Launch Checklist (addyosmani/agent-skills, 104k stars), Expense Accounting (sickn33/agentic-awesome-skills, 47k stars), Configure Channel (openclaw/openclaw, 392k stars) and Purchase Accounting (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Channels Account Launch Expert?

chenjin-cmd (a GitHub user) maintains it in chenjin-cmd/agent-skills-launch-pack_, which has 574 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on July 8, 2026.

Source: chenjin-cmd/agent-skills-launch-pack_ on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.