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。
npx skills add https://github.com/chenjin-cmd/agent-skills-launch-pack_ --skill channels-account-launch-expert
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。
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。
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]。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。10. 按数据校准,而不是按情绪改号。
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。除非用户要求完整战略,默认选择最小但有用的产物。
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。
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。
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Take chenjin-cmd/channels-account-launch-expert from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.