Media Skills

Use when a video/audio task needs OpenChatCut transcription, captions, subtitles, subtitle styling, transcript search, transcript readiness checks, or enabling captions, including local or attached videos where the user asks to add captions/subtitles, transcribe, create bilingual subtitles, clean talking-head speech, remove filler words, or trim pauses.

| AI video generation via Seedance 2.0, Kling, and MiniMax Hailuo. Use when the user wants to generate a video clip — text-to-video, image-to-video, first/last-frame transitions, reference-guided generation, multi-shot, or generatively editing / extending an existing clip.

Create platform-ready thumbnails from real video frames. Use when the user wants a thumbnail, cover image, YouTube cover, Shorts cover, Bilibili cover, Xiaohongshu cover, or other video poster image.

| Text-to-Speech (TTS), voiceover, narration placement/sync, and custom sound effects (SFX) generator. Use when the user wants generated speech from text, wants to add/replace/align narration or voiceover for an existing video/timeline, wants to keep existing voiceover synced after visual retiming edits, needs voice audition/selection, or explicitly wants a newly generated/custom sound effect that is not available in the Sound Effects library.

Use when the agent should ask the user for structured input with an in-chat form, including single-select, multi-select, text fields, style pickers, or voice audition choices.

Build Amazon Machine Images (AMIs) with Packer using the amazon-ebs builder. Use when creating custom AMIs for EC2 instances.

Build Azure managed images and Azure Compute Gallery images with Packer. Use when creating custom images for Azure VMs.

Build Windows images with Packer using WinRM communicator and PowerShell provisioners. Use when creating Windows AMIs, Azure images, or VMware templates.

Push Packer build metadata to HCP Packer registry for tracking and managing image lifecycle. Use when integrating Packer builds with HCP Packer for version control and governance.

> Generate text, images, video, speech, and music via the MiniMax AI platform. Covers text generation (MiniMax-M3 model), image generation (image-01), video generation (Hailuo-2.3), speech synthesis (speech-2.8-hd, 300+ voices), music generation (music-2.6 with lyrics, cover, and instrumental), and web search. Use when the user needs to create AI-generated multimedia content, produce narrated audio from text, compose music, or search the web through MiniMax AI services.

图片分析与识别，可分析本地图片、网络图片、视频、文件。适用于 OCR、物体识别、场景理解等。当用户发送图片或要求分析图片时必须使用此技能。

Record or regenerate the mcpc demo GIFs (the README hero docs/images/mcpc-demo.gif and the focused tapes in docs/vhs/) with VHS. Use whenever asked to create, refresh, restyle, shorten, or fix a terminal demo/animation/GIF of mcpc. The tapes drive real mcpc commands; for the authenticated step this skill ALWAYS prompts for a short-lived, low-permission TEST token first (never production). Captures the VHS + mcpc gotchas learned the hard way — read it fully before editing a tape.

| makepad event, makepad action, MatchEvent, handle_event, handle_actions, on_click, on_render, on_return, on_startup, script_eval!, script_apply_eval!, button clicked, text changed, slider changed, checkbox toggled, Hit, FingerDown, FingerUp, KeyDown, KeyUp, Focus, ids!, TextCopy, TextCut, SelectionHandleDrag, PopupDismissed, clipboard, selection, IME, ImeAction, popup window events, video inputs, camera events, 事件, 动作, 点击, 输入, 回调, 交互, 事件处理, 剪贴板, 选择, 弹出窗口

| makepad animation, makepad animator, Animator, AnimatorState, hover effect, makepad transition, animation state, Forward, Snap, Loop, ease function, makepad animate, timeline, snap(), default @off, animation group, 动画, 过渡, 悬停效果, 动画状态, 缓动函数

| splash language, makepad script, script_mod!, makepad scripting, splash 脚本, makepad 2.0 script, mod.state, on_render, script_eval, streaming evaluation, splash syntax, splash vm, let binding, splash functions, hot reload, live reload, ScriptModKey, script_mod_overrides, checkpoint, incremental parsing, canvas splash, POST splash, fn tick, on_audio, set_text, tab switching, 音乐播放器, token monitor, driver script, audio API, 热重载, 脚本引擎, 增量解析

| makepad vector, Vector widget, SVG path, makepad path, makepad circle, makepad gradient, makepad tween, vector animation, Gradient, RadGradient, Filter, DropShadow, Group transform, vector drawing, inline SVG, 矢量图形, SVG, 路径, 渐变, 矢量动画

| makepad error, makepad bug, makepad problem, makepad issue, makepad not working, text invisible, widget not showing, click not working, height zero, makepad pitfall, makepad gotcha, makepad FAQ, makepad help, script_mod error, compile error, widget not found, render not updating, hot reload not working, wasm build error, port conflict, server lock, IME popup, selection handle, popup window crash, canvas splash, POST splash loop, 100% CPU, set_visible not working, on_render empty, event bridge unreliable, float time display, fn tick not called, on_audio not called, button click through, 常见错误, 问题排查, 故障排除, 不显示, 不工作, 看不见, 热重载, 编译错误

| makepad widget, makepad View, makepad Button, makepad Label, makepad TextInput, makepad PortalList, makepad Dock, makepad Modal, makepad Image, makepad CheckBox, makepad Slider, makepad DropDown, widget catalog, widget reference, widget list, SolidView, RoundedView, ScrollYView, FoldHeader, Splitter, FileTree, 组件, 控件, 视图, 按钮, 标签, 输入框, 列表, 模态框

Extract evidence-grounded project facts from user-provided design attachments, identify missing information, and prepare the exact written fields required by supported design-award entry forms. Use when a user asks to prepare, draft, adapt, translate, or validate application text for iF, iF Student, Red Dot Product Design, IDEA, DIA, K-Design, GOOD DESIGN AWARD Japan, Core77, James Dyson, or EPDA. Also use to build a reusable project dossier from briefs, decks, reports, manuals, patents, research, images, or prior application materials. Do not use for award selection alone, winner retrieval, design-quality scoring, final file-format auditing, or winning-probability prediction.

用于公开资料检索、社交媒体分析、地理定位、DNS、用户名枚举、反向图片搜索、历史快照、公开记录与坐标识别等 OSINT 类 CTF 题;触发名:ctf-osint

Embed C2PA (Content Authenticity Initiative) provenance manifests in AI-generated marketing assets (image/video/audio/PDF). Use when: preparing AI-generated ad creative, social images, or video for EU markets to comply with EU AI Act Article 50 (applicable 2 Aug 2026); embedding visible AI-generation disclosure in assets; meeting brand-trust transparency requirements.

Explore emerging marketing channels. Use when: evaluating voice search, social commerce, or new platforms.

Evaluate content quality. Use when: scoring drafts, checking hallucinations, or assessing brand voice compliance.

Audit image SEO. Use when: checking alt text, file sizes, WebP/AVIF formats, lazy loading, or responsive images.

Import brand guidelines. Use when: adding voice guides, style restrictions, or messaging frameworks.

Score localized content quality. Use when: checking translation accuracy, cultural adaptation, or voice preservation.

Search stored brand knowledge. Use when: recalling past learnings, voice guidelines, or competitor insights via semantic search.

Measure share of voice. Use when: comparing keyword visibility, SERP presence, ad share, or AI citations vs competitors.

Validate a brand profile end-to-end — required fields, voice/audience completeness, connector reachability, credentials health, and compliance prerequisites — without exposing credential values. Run after any credential change or brand-profile edit.

Write video scripts. Use when: creating YouTube, TikTok, Reels, LinkedIn, demo, or explainer video content.

> Configures and runs Depot remote container builds using `depot build` and `depot bake`. Use when building Docker images, creating Dockerfiles with Depot, pushing images to registries, building multi-platform/multi-arch images (linux/amd64, linux/arm64), debugging container build failures, optimizing Dockerfile layer caching, using docker-bake.hcl or docker-compose builds, or migrating from `docker build` / `docker buildx build` to Depot. Also use when the user mentions depot build, depot bake, container builds, image builds, or asks about Depot's build cache, build parallelism, or ephemeral registry.

> Create or edit a PostHog canvas — a sandboxed browser application (data board, document, form, small tool, graphics experiment) stored in PostHog and rendered by the desktop/web app. Use when a task asks to build, generate, update, or fix a canvas, or when a canvas id is given as the publish target. Covers resolving or creating the target canvas, choosing an implementation approach (React + Quill vs plain HTML/browser APIs), the read → edit → validate → publish → build loop, and which companion canvas skills to load for the details.

> Author a PostHog canvas with semantic HTML, CSS, and direct browser APIs — documents, articles, generative graphics, 2D canvas and WebGL experiences, and focused experiments where React components add no useful structure. Use after building-canvases has routed a canvas request to a plain-HTML/browser-API implementation. Covers the thin component wrapper the current runtime requires, styling and theming without Quill, drawing surfaces, and animation/cleanup patterns.

> capture, openExternal, navigate), the data hierarchy (saved insights first, typed query nodes second, inline HogQL last), per-insight-type result shapes, date-range wiring, and event capture from a canvas. Use whenever a canvas shows metrics, charts, tables, or any PostHog data, or needs to send analytics events.

> capabilities, reading the current version pointer, iterating on validation diagnostics, guarded publishing with expected_current_version_id, waiting out the queued build, and recovering from a 409 version_conflict or a 429 capacity limit without overwriting concurrent work. Use whenever a canvas edit is ready to save, a canvas publish or build returns diagnostics or a conflict, or a task needs to understand canvas version history.

Expert knowledge for Azure AI Vision development including decision making, limits & quotas, configuration, integrations & coding patterns, and deployment. Use when using Image Analysis, Read OCR containers, smart-crop thumbnails, background removal, or video frame analysis, and other Azure AI Vision related development tasks. Not for Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer), Azure AI Document Intelligence (use azure-document-intelligence), Azure AI Immersive Reader (use azure-immersive-reader).

Expert knowledge for Azure AI Speech development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building STT/TTS, custom voices, Voice Live, avatars, or on-prem/containerized speech workloads, and other Azure AI Speech related development tasks. Not for Azure Communication Services (use azure-communication-services), Azure AI Bot Service (use azure-bot-service), Azure Notification Hubs (use azure-notification-hubs).

Expert knowledge for Azure AI Video Indexer development including best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when indexing videos, using OpenAI integration, calling Video Indexer APIs, redacting faces, or securing access, and other Azure AI Video Indexer related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI Search (use azure-cognitive-search), Azure Machine Learning (use azure-machine-learning).

用火山引擎 Podcast AI 模型生成中文双人对话播客。当用户要把文章、报告、话题文本转成播客音频、生成对话式音频内容时使用，需要环境具备火山引擎 APP_ID 和 ACCESS_KEY。支持 mp3/ogg_opus/pcm/aac、语速调节、自定义音色、断点续传。不用于：单人朗读式 TTS（用普通语音合成）、英文播客（模型主要优化中文）、播客文稿本身的撰写（先用写作类 skill 产出文本再来）。

用 ByteDance Seedream 4.0 API（经 Segmind）生成 AI 图像。当用户要从文字描述生成营销素材、海报、产品图、概念图、社交媒体配图等高质量图像，且环境配有 SEGMIND_API_KEY 时使用。支持 2K/4K、多比例、单次最多 15 张批量、最多 3 张参考图控风格。不用于：修改/编辑已有图片（用图像编辑类 skill）、视频生成、无 API 环境下的快速配图需求。

专业微信公众号文章助手，支持四个独立且可组合模式：article 写正文；image-prompts 从文章生成版本化、provider-neutral 的图片提示词 manifest 与稳定占位符，但不调用生图；layout 把文章和 manifest 确定性转换为微信安全的内联 HTML；full-pipeline 串联正文、提示词/占位符和排版。用户提到公众号、微信文章、推文、配图提示词、图片 manifest、公众号排版、内联 HTML 或完整图文流水线时触发。支持企业官号、个人技术博客、活动回顾和产品评测。不用于：带引用的研究报告（用 deep-research）、PPT/组图（用 deck-studio）、英文文章、仅润色一小段。永不自动发布，永不把提示词或占位符声称为已生成图片。

Embody this digital identity. Read SOUL.md first, then STYLE.md, then examples/. Become the person—opinions, voice, worldview.

素材深度分析技能。当用户提供文章、推文、视频文稿等内容并要求分析时使用。 适用于：(1) 理解素材核心观点和论证逻辑，(2) 批判性评估内容，(3) 为后续写作提取可用素材， (4) 分析内容的传播价值。支持长文、短内容（推文/帖子）、视频文稿等多种内容类型。

分析播客/视频访谈内容，提取高价值信息点、金句、待验证背景， 并生成详细写作提纲。当用户提供访谈转录稿或整理稿，需要进行内容分析、 素材提取、或准备写作提纲时使用此 skill。

Use when a user needs a legal or legal-adjacent Mermaid diagram from a document, pasted text, matter description, process, timeline, party map, obligation map, corporate structure, funds flow, or compliance workflow. Trigger on: "diagram this contract", "visualise this deal/matter", "map the parties", "create a timeline of events", "make an org chart", "obligation checklist", "export as HTML diagram". Not for general-purpose non-legal diagrams, pure graphic design, image generation, or legal advice.

NIL (Name, Image, and Likeness) contract analysis for NCAA student-athletes from the athlete's perspective. Use when user says 'review this NIL contract', 'analyze this NIL deal', 'check this athlete agreement', 'review my NIL agreement', or uploads a PDF NIL contract for review. Identifies red flags, missing protections, and compliance issues. Produces a structured review memorandum with negotiation positions. Do NOT use for general contract review, employment agreements, non-NIL endorsements, or brand-side deal analysis.

Use when preloading fonts, asset/network images, Lottie/Rive animations, local JSON/config, warming initial API data, or optimizing Flutter Web startup.

Use when writing store copy to character limits (name, subtitle, descriptions, keywords) or preparing listing images (icon, feature graphic, screenshots, preview video).