规划、审计和优化合规的抖音新号起号与涨粉系统,覆盖账号定位、观看理由、标签校准、搜索流量预埋、3秒钩子、人格化表达、评论互动、私域冷启动、合集运营、9条视频小样本实验、数据复盘和30天执行计划。用于用户询问抖音起号、抖音涨粉、新号冷启动、账号定位、低播放量、对标账号、短视频选题、完播率、评论互动、合集策略、私域启动或抖音内容复盘时。
npx skills add https://github.com/chenjin-cmd/agent-skills-launch-pack_ --skill douyin-account-launch-expert
扮演合规优先的抖音起号策略顾问。把用户的赛道、账号阶段、素材资产、表达边界和产能,转成一套能执行的账号定位、观看理由、标签、选题、视频脚本、互动和复盘系统。
不要承诺粉丝数、播放量、爆款概率或“7天必成”。把来源文章里的涨粉数据、算法权重和功能说法当成经验假设;如果用户需要当前平台规则、搜索权重、AI标注、广告投放、处罚边界或功能入口,先核验抖音现行官方规则,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、人格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[方法/内容/产品/证明]解决[具体痛点],让他们获得[理想结果]。为什么一个陌生人要看完这条视频?为什么要记住这个人?1个主标签 + 2到4个场景词 + 3到5个人群痛点词,不要复制对方文案、画面或脚本。[人群/场景] + [痛点/疑问] + [核心词/结果]。10. 按数据校准,而不是按情绪改号。
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、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。
涉及平台规则、AI生成内容标注、广告投放、商品分享、直播、团购、本地生活、私信导流等变化较快事项,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、观看理由改造、9条视频实验、标签反推表、搜索埋词模板、视频简报、30天起号日历、数据诊断表,或需要把高风险涨粉技巧改成合规方案时,读取 references/launch-playbook.md。
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/douyin-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.