Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 870 files from 1 769 authors, of which 62 217 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Agent-callable YouTube tools — search and read videos, update and delete videos, manage playlists and playlist items, read and post comments, rate videos, manage subscriptions, and read channel and caption metadata. Use when the user mentions YouTube or wants to find, comment on, or organize YouTube videos and playlists, even if they don't name YouTube explicitly.
Agent-callable Telegram bot tools — send messages, media, locations, contacts, and polls; edit, delete, forward, copy, and pin messages; resolve chats, members, and files. Use when the user mentions Telegram or wants a bot to post, manage, or look up Telegram content — including requests that don't name Telegram explicitly, e.g. "message the team channel", "post this update to the group".
Agent-callable Runway tools — generate images and video from text or images, edit and upscale media, animate characters, generate speech and sound effects, and run marketing recipes, plus track generation jobs. Use when the user mentions Runway or wants to generate, edit, or upscale AI media, even if they don't name Runway explicitly.
Agent-callable Google Sheets tools — read and write spreadsheet data as rows or raw cells, manage worksheets and columns, and apply formatting, sorting, and validation. Use when the user mentions Google Sheets or wants to read, add, update, look up, or organize spreadsheet data, even if they don't name Sheets explicitly.
Install and configure Arcee AI nac, get the user into the nac dashboard, and connect their MCP client to nac. Use when a user asks to get started with nac, connect nac to an agent, add MCP servers, or expose nac's MCP server to Claude Code, Codex, OpenCode, or another MCP client.
Triage a GitHub repository's open issues by finding exact duplicates, rejecting evidenceably off-base requests, requesting concrete clarification, applying only existing labels, and opening a linked root-cause issue when multiple reports share one underlying invariant failure. Use when a maintainer asks to triage issues or invokes triage.
Cut and publish a full stable NAC release after main, release-PR, and publication CI pass. Use when a maintainer asks for a stable version bump, tag, or GitHub Release. Never use for release candidates; NAC RC releases are automated.
Skills 宪法 —— 凌驾于全部技能/工具之上的元规则。强制 Agent 在执行任何任务前先查记忆、查技能索引，有匹配必用、无匹配必搜、答复时自动推荐。解决 Agent 不调用已装 Skill、调用幻觉、能力误判三大痛点。跨平台通用：WorkBuddy / Claude Code / ChatGPT / Codex / Gemini / Cursor / Windsurf / Cline 等 20+ 框架。v2.5.0 技能树纳入已装 Python 库/工具（🧩 分类）、第一条升级为"查技能树无条件第一步 + 宪法三查汇报"执行强化；v2.6.0 新增门禁自检脚本 constitution-check（5 个 step 独立校验，默认软校验 + --strict 可选阻断 + 状态文件链式依赖），把"靠 Agent 自觉"变成"可校验、可拦截"；v2.7.0 技能树索引定位修正：索引为作者快照/示例，使用者应生成自己的技能树（平台能力注册表）；v2.8.0 新增精选技能注册表 registry.json（技能名+来源仓库+描述，按需安装）；v2.9.0 重大改版：引入「三明治架构」两层校验（软校验+硬校验），Pre-hook强制验证实际引用MEMORY.md/skill_tree.json内容，Post-hook实现重试循环自动修复不合规输出，解决Agent空头汇报问题；v2.10.0 输入拦截：新增 pre-hook.py 任务开始前强制注入记忆+技能树，constitution-check 增加 --pre-hook/--classify 双通道分流，简单任务零号条款豁免直接通用能力，专业任务强制注入校验；v2.11.0 任务相关硬校验：新增 Layer C —— 任务含"代码/git/部署/爬虫/文档"等关键词时，输出必须引用 skill_tree.json 对应分类下的实际技能名（如 git-workflow-and-versioning），杜绝"查了宪法就算查了技能"的空头汇报；三查汇报强制列出命中技能清单；第五条推荐修正为"本地技能不足→GitHub 搜索高星技能推荐给用户，由用户决定是否安装"；v2.12.0 SkillWeaver 启发改版：任务同义词扩展（口语表达如"把代码传上去"也能命中 git 必需分类）+ SAD 宽松语义检索注入 top-K 候选（零依赖 token 重叠打分）+ Layer D 语义相关性校验（防引用与任务无关技能蒙混）+ 多技能编排兼容性检查（registry.json input/output schema）+ 可选语义向量索引（semantic_index.py，sentence-transformers 可选依赖）+ 修复分类子串误杀（code 不再命中 encode）。
Structural checklist and checker script for SEO foundation engineering. Use when reviewing or accepting a site/page for SEO/GEO structural compliance (robots, sitemap, canonical, 301 canonicalization, JSON-LD, OG, hreflang, CWV, AI crawler access, rendering strategy), when running the machine checks to produce a report, or when judging whether a frontend change will affect indexing and citation. Also for answering "what exactly does this check require" and "why does it exist".
Structural checklist and checker script for SEO foundation engineering. Use when reviewing or accepting a site/page for SEO/GEO structural compliance (robots, sitemap, canonical, 301 canonicalization, JSON-LD, OG, hreflang, CWV, AI crawler access, rendering strategy), when running the machine checks to produce a report, or when judging whether a frontend change will affect indexing and citation. Also for answering "what exactly does this check require" and "why does it exist".
Use when the user has a video + an SRT and wants the subtitles either burned into the pixels (libass, always-visible) or soft-muxed as a togglable track. Also handles the final composite step for the localization pipeline — burn subs, mix a dub track, and keep the original audio as a low-volume bed, all in ONE ffmpeg encode (no cascade). Verifies libass availability and auto-downloads a static evermeet ffmpeg build when Homebrew's stripped binary lacks it. Triggers — "烧字幕", "硬字幕", "burn subtitles", "burn-in subs", "embed subtitle", "soft mux SRT", "把字幕烧进视频", "做最终合成".
Use when the user wants a 王建硕-style WeChat article (article.md) turned into a narrated short MP4 video — TTS voiceover via 火山引擎 Volcano TTS, HyperFrames CSS/GSAP animation per scene, subtle SFX, abstract watercolor background, full pipeline rendering to 1080×1920 portrait MP4 (30-90s). Triggers — "把这篇文章做成视频", "做一个解说视频", "讲解视频", "/wjs-converting-text-to-video".
Use when the user has a video + a target-language SRT and wants the video to actually speak that language — generates a time-aligned TTS voice dub. Routes by voice ID — Volcano (豆包) TTS for Chinese, edge-tts neural for any language. Defaults to one voice (single-speaker); opt-in multi-speaker via visual diarization. Outputs `*_<lang>_dub.mp4` with the dub audio in place of the original. Final mixing (audio bed + burn-in) is handed off to `/wjs-burning-subtitles`. Triggers — "配音", "中文配音", "Chinese dub", "voice over this", "dub the video", "TTS this SRT", "different voice for each speaker".
| 王建硕的思维框架与表达方式。基于 7 份深度调研（约 100 万词英文博客 + 约 109 万字中文博客， 2002–2022，全部一手）提炼出 7 个核心心智模型、10 条决策启发式和完整的双语表达 DNA。 用途：以王建硕的身份和声音写作、回应、思考——他平实、诚恳、好奇，爱用家常比喻和自造词， 在具体和抽象之间反复架梯子，从不写自己没亲身验证过的东西。 当用户提到「用王建硕的视角」「王建硕会怎么看」「王建硕模式」「像王建硕一样写」 「Jian Shuo Wang perspective」「切换到王建硕」时使用。 即使用户只是说「帮我用王建硕的角度想想」「如果是王建硕会怎么写这篇」也应触发。 一旦激活，本次对话后续所有回应都保持王建硕身份，直到用户明确说「退出」—— 不需要每轮重新点名。 不适用：用户要的是关于王建硕本人的客观介绍 / 事实查询（「王建硕是谁」「他哪年创业的」）， 那种问题正常回答即可，不要进入角色扮演。
Use when the user asks to audit what's wrong with a project, "make it right", "看看项目出了什么问题", "为什么用户的需求还没上线", "为什么没提交App Store", "为什么没新build", or wants a holistic state-of-the-project check covering unmerged branches, stalled PRs, failed GitHub Actions, stale builds, plan drift (TODOS.md / ROADMAP), unreleased commits, and log errors. Runs read-only investigation, presents a grouped checklist, fixes only after explicit user confirmation. Aware of the Cathier iOS app workflow (Xcode + fastlane + auto-merge @claude PRs from in-app feedback).
Use when migrating a WordPress site to a Hugo static site on GitHub Pages from a WXR export (.xml) plus the wp-content/uploads folder — preserving /archives/<id>/ URLs, localizing images, and deploying via GitHub Actions. Triggers — "把 WordPress 迁成 Hugo", "wordpress 转静态站", "migrate WordPress to Hugo", "WXR to Hugo", "publish WordPress to GitHub Pages", "/wjs-converting-wp-to-hugo".
Use when the user complains about spam on his X/Twitter posts — 同城面付 / 寻固炮 / 线下上门 / 免费破处 这类引流号在他推文下刷的 emoji 垃圾回复 — and wants them removed. Covers the last 7 days (X recent-search window). Triggers — "把这些spam删掉", "清理X垃圾回复", "推文下面好多引流号", "clean spam replies", "/wjs-cleaning-spam".
Use when the user wants to capture a writer's voice from a few sample articles and rewrite text to sound like that author — "蒸馏文风", "提炼XX的风格", "把这篇改成XX的味儿", "学某某笔法改写", "mimic this writer", "match this author's style", "style transfer". Works for any author, 王建硕 included.
吃一堑长一智 — 走完 5 步交互式反思（堑 → 自动输出 → 旧权重 → 新参数 → 替代动作），从「情绪复盘」推进到「行为训练」，把第一反应这一层 L3 权重练新。Use when 王建硕 reflects on a personal setback, mistake, or recurring pattern (反思, 复盘, 回顾, 总结教训, 吃一堑, 长一智, "这次又栽了", "怎么又这样", "为什么我总是…", "想开点都做不到", "知道道理但做不到"). For the user as a human, not for Claude's task post-mortems.
Use when 王建硕 wants to evaluate whether a change to VoiceDrop's 挖矿 system prompt is actually better than the live version — runs the local eval harness (golden fixtures × champion-vs-candidate, same input), dispatches blind pairwise judge subagents, aggregates a win-rate verdict, and on approval promotes the candidate into agent/src/prompts/mine.js. Triggers — "评估 prompt"、"挖矿 prompt 改好了吗"、"eval prompt"、"比一比两版 prompt"、"/wjs-evaling-voicedrop-prompts".
Use when the user has 2+ recordings of the same event (each with a `.sync.json` sidecar from wjs-syncing-multicam) and wants them combined into a single MP4 — auto-switching between cams second-by-second on audio energy, with optional picture-in-picture inset. Triggers — "auto-edit multicam", "做个剪辑", "切几个机位", "把这几个视频合成一个", "combine these angles", "PiP overlay".
Thin orchestrator for the end-to-end video localization pipeline. Routes to the four focused sub-skills — /wjs-transcribing-audio, /wjs-translating-subtitles, /wjs-dubbing-video, /wjs-burning-subtitles. Use when the user asks for full localization in one go ("帮我把这个西班牙语视频做成中文字幕+配音", "translate and dub this video", "做完整的本地化"). For any individual step (just transcribe, just translate, just dub, just burn), invoke the sub-skill directly — it's faster and the boundary is cleaner.
Use when the user wants to add an in-site feedback loop to a website repo — a floating "提个建议" button where allowlisted visitors submit suggestions that become a GitHub Issue, which GitHub Actions turns into an automatic code change via Claude Code, auto-merges and deploys, and records on a /_feedback dashboard with one-click revert. Triggers — "给网站加个反馈对话框", "提一句话就自动改网站", "装上反馈闭环", "feedback loop", "/wjs-looping-feedback".
Use when 王建硕 wants to turn his uploaded VoiceDrop voice memos into 微信公众号 article drafts — pulling the unprocessed recordings sitting on jianshuo.dev/files (the R2 inbox), transcribing them, and mining articles from each. Triggers — "处理 VoiceDrop 录音", "把新录音挖成文章", "口述备忘变文章", "处理一下我的录音", "/wjs-mining-voicedrop".
Use when the user has a video's SRT subtitle file — a 王建硕 monologue / 讲解, OR a 对谈 / 访谈 where 王建硕 is one of the speakers — and wants to mine it into multiple standalone 微信公众号 articles, one article per distinct topic. Triggers — "把这个视频写成文章", "从字幕里挖文章", "这个 SRT 能写几篇", "把对谈写成文章", "/wjs-mining-articles <srt>".
Use when the user has one or more video clips and wants to add post-production on top — AI-generated cover as first frame, HTML/CSS captions synced to SRT, kinetic illustration overlays at hook moments, chapter chips, end-card CTA, or any other timed motion graphics. Most often used as the downstream of `/wjs-segmenting-video` — pick up where that skill stopped (raw cropped clip + per-clip SRT) and produce the upload-ready MP4. Backed by HyperFrames so everything compiles to ONE final encode — no cascade of re-encodes. Triggers — "加封面", "加字幕", "加动画", "加 CTA", "做后期", "post-production", "title card", "kinetic captions", "end card".
Use when the user wants to set up automated daily promotion / marketing for their Claude Code skills — researching how top skills are promoted on marketplaces (ClawHub / openclaw / SkillsMP / agentskills.io), generating a per-skill marketing plan, auto-posting to X (Twitter) via xurl, and drafting community discussion posts (Reddit / HN / Discord). Triggers — "推广 skills", "营销 skills", "自动发推广", "每天自动推广", "skill marketing", "promote my skills", "/wjs-promoting-skills".
把一条平淡的中文 tweet/推文/帖子改写成"有真实事实支撑 + 带互动钩子"的高参与度版本,每次给 2-3 个不同钩子的版本,风格务必短、白、口语。只要用户贴出一条中文 tweet/推文/微博/帖子,并提到"润色""改写""优化""让它更有互动""涨互动""涨粉""提高回复""帮我把这条发得更好"等任何意图,就使用本 skill——哪怕用户没明确说"用 skill"。也适用于把某个观点/事实/日常做成"忍不住想回答"的提问帖或填空帖时。
当用户想给自己的 Hugo 静态博客（如 maggiacito.com）新增或编辑帖子、管理类目、上传图片并发布上线时使用——对话式后台，说一句就改文件、commit、推送、自动部署，不需要任何 CMS/服务器。触发词：「发一篇博客」「给 Hugo 加文章」「写篇帖子到博客」「管理博客类目」「上传图片到博客」「博客后台」「/wjs-publishing-hugo」。
为 iOS 项目配置 fastlane + GitHub Actions，实现推送 main 分支自动构建并上传 TestFlight。参考实现：Cathier 项目。触发词：「testflight」「fastlane」「自动构建」「CI TestFlight」「/wjs-publishing-testflight」。
Use when an iOS app already on TestFlight needs to ship to the App Store — preparing the screenshots and the description/metadata, then using the existing fastlane setup to submit for review. Triggers — 「提交 App Store」「上架」「app store 审核」「准备截图和文案」「submit for review」「/wjs-publishing-appstore」.
当用户想写或发布微信公众号文章时使用——他们给出零散思路、草稿或笔记，请你润色、生成题图和解释图，或准备上传到 mp.weixin.qq.com。触发词："写一篇微信文章"、"公众号"、"润色"、"题图"、"发公众号"、"/wjs-publishing-wechat"。
Use when the user wants to convert a video between horizontal and vertical orientations while preserving the inverted aspect ratio (16:9 ↔ 9:16, 4:3 ↔ 3:4, 21:9 ↔ 9:21). The skill crops a narrow band from the source and tracks the active speaker — the person whose mouth is moving — via MediaPipe face landmarks and mouth-aspect-ratio variance, so the talker stays in frame even when other people are visible. Triggers — "横转竖", "竖转横", "做成竖屏发抖音/视频号/小红书", "16:9 to 9:16", "make this vertical for Reels / TikTok / YouTube Shorts", "crop to portrait", "convert to landscape".
Use when the user has a long-form video (interview / lecture / podcast / conversation) and a transcript SRT, and wants to extract 3–6 stand-alone topical short clips from it. This skill ONLY cuts and crops — it produces raw clips + per-clip SRTs as a hand-off package for downstream post-production (`/wjs-overlaying-video`). Triggers — "切成几段", "分主题", "拆成短视频", "切片", "topic segments", "split into clips".
Use when the user wants to auto-syndicate their latest 微信公众号 article across social platforms — picks the newest un-syndicated article, extracts one core copy, auto-posts to API platforms (X / Bluesky / Threads / LinkedIn) and prepares a copy-paste outbox for manual platforms (Facebook / 小红书 / 即刻 / 知乎). Triggers — "分发文章到各平台", "同步到社交平台", "今天的文章发各平台", "/wjs-syndicating-articles".
Use when the user has 2+ video / audio recordings of the same event captured by different devices (cameras, phones, separate audio recorders) and wants them aligned to a single common timeline. Outputs only a lightweight `.sync.json` sidecar per input — original files are never re-encoded. Triggers — "多机位同步", "对齐这几个机位", "match camera timelines", "sync these angles", "audio drift between cameras", "separate audio recorder", "Riverside / Zoom recording that needs to line up".
Use when the user wants to teach / learn an English word as a video — turn a single English word into a self-contained HLS "supercut" lesson built from the mira video base. Stitches every season2 clip where the word is spoken (via the search-app API) into one .m3u8, prepended with a Claude-written bilingual word-intro card (word + IPA + 中文 gloss + usage, Volcano TTS) and appended with a 关注王建硕 CTA card. No MP4 burn. Triggers — "teach <word>", "讲讲 <word>", "学英语 <word>", "把 <word> 做成视频", "/wjs-teaching-english <word>".
Use when the user wants to post a daily X/Twitter tweet inspired by one of their recently-published 微信公众号 articles. Picks the newest article that hasn't been tweeted yet, drafts 3 tweet candidates from it (different angles — quote / metaphor / one-liner), posts the chosen one via xurl, records to history. Triggers — "每天发一个 tweet", "从文章里发推", "今天的 tweet", "/wjs-tweeting-from-articles".
Use when the user has audio or video and wants a timestamped transcript (SRT) in the source language. Routes by source language — Chinese defaults to Volcano (豆包) ASR; other languages (Spanish, English, Portuguese, French, Italian, Japanese, Korean, etc.) use OpenAI Whisper API with word-level timestamps and self-assembled cues. Outputs SRT with punctuation-bounded cues capped for on-screen reading. Triggers — "转写", "转成字幕", "做 SRT", "transcribe", "make subtitles", "speech to text", "出字幕".
Use when the user has an SRT (or transcript text) in one language and wants it translated to another, with punctuation-bounded re-segmentation so cues end at real sentence breaks. Simplified Chinese (zh-CN) and English (en) are first-class targets; other targets follow the same rules. Outputs a target-language SRT or bilingual SRT — no audio, no burn-in. Triggers — "翻译字幕", "翻成中文", "translate this SRT", "中英双语字幕", "把这个 SRT 翻译成 X", "bilingual subtitles".
Upload one or many videos to YouTube. Use when the user wants to "上传到 YouTube", "发 YouTube", "批量上传", "upload to YouTube", "post videos to YouTube", or to publish a finished `final/` directory of MP4s. Reads per-video metadata (title / description / tags) from a sibling `UPLOAD_META.md` file when present (the user's standard markdown format), or from command-line flags. Survives behind a SOCKS/HTTP proxy by using `requests` directly for the resumable upload (the stock `google-api-python-client` MediaFileUpload stalls under this user's proxy setup).
Use when 王建硕 wants to decide whether a VoiceDrop article should get an AI 题图 (公众号封面), and which style of image prompt to use — before generating any cover. Triggers — "这篇要不要配题图", "选个题图风格", "给这篇出个题图 prompt", "choosing cover", "/wjs-voicedrop-choosing-cover".
Use when 王建硕 wants to systematically improve his X (Twitter) content by iterating on the content-generation prompt (prompts/x/prompt.md, used by the every-6h tweet Action) and finding which prompt version produces the highest-reach tweets. Each prompt edit is a git-SHA-versioned, numbered experiment with a hypothesis; tweets are attributed to the version live at post time and judged on median impressions per tweet. Also mines per-tweet impression data for content-feature signals (angle / length / topic) that feed the next prompt edit. North-star = impressions per tweet. Triggers — "改 X 的 prompt", "X 内容改进", "哪版 prompt 最好", "什么内容 impression 高", "improve my tweets", "A/B test the X prompt", "/wjs-x-improving-content".
VoiceDrop 的入口。所有能力都在 MCP 里（voicedrop.cn/mcp，32 个工具：文章读写与版本、文风与蒸馏、挖矿与重写、社区与投币、算力、分享/公众号/小红书）。本 skill 只做一件事——把你接上那个 MCP：用它的 login 工具做 6+4 手机配对登录拿到令牌，然后接进客户端。触发词："voicedrop"、"登录 voicedrop"、"voicedrop 登录"、"接 voicedrop mcp"、"voicedrop token"、"/wjs-voicedrop"。
Use when 王建硕 wants to systematically grow his X (Twitter) followers by running numbered, A/B-testable growth experiments and tracking which ones actually work. Every action gets a number, a hypothesis, a target metric, a before-state (for rollback), and a verdict. The North-Star metric is the new-follower ÷ profile-visit ratio (conversion) — every profile change is judged against it. Daily it ingests the X Analytics CSV export, scores each running experiment, and recommends keep / rollback. Triggers — "涨粉", "增加 X 粉丝", "X 涨粉实验", "follower growth", "A/B test my profile", "今天的涨粉检查", "/wjs-x-increasing-follower".
Turn a research brief or finished script into a reviewed, narrated, rendered, and verified vertical explainer video. Use when an agent must create a short 9:16 explainer, run a no-key local demo, enforce a pre-render review gate, diagnose the video toolchain, or verify a generated MP4 before any manual publication step.
Implementation planning specialist. Use when the user requests a feature, refactor, or architectural change. Produces numbered step-by-step plans with risks, dependencies, and scope estimates. Never writes code.
UI/UX design intelligence for web and mobile. Includes 50+ styles, 161 color palettes, 57 font pairings, 161 product types with reasoning rules, 99 UX guidelines, and 25 chart types across 10 technology stacks. Use when designing UI, choosing palettes, typography, or component architecture.
Test-Driven Development workflow. Use when writing new features, fixing bugs, or refactoring code. Enforces RED-GREEN-REFACTOR cycle with 80%+ coverage.
UI/UX design intelligence. Use when user asks for UI/UX design, component architecture, layout, color system, or visual hierarchy decisions. Includes 50+ styles, 161 palettes, 57 font pairings.
Senior code review specialist. Use PROACTIVELY after writing or modifying code. Reviews for quality, correctness, performance, and best practices. Assigns severity levels to findings (CRITICAL / HIGH / MEDIUM / LOW).
Backend API design specialist. Use when building REST/GraphQL APIs, designing endpoints, data models, or backend architecture. Covers RESTful principles, HTTP semantics, error handling, versioning, and OWASP-aligned security.
Senior code review specialist. Use PROACTIVELY after writing or modifying code. Reviews for quality, security, performance, and best practices.
AI-powered security vulnerability detection. Use PROACTIVELY after writing code that handles user input, authentication, API endpoints, payments, or sensitive data. Flags OWASP Top 10 issues with diff-aware scanning.
Typst document creation and package development. Use when: (1) Working with .typ files, (2) User mentions typst, typst.toml, or typst-cli, (3) Creating or using Typst packages, (4) Developing document templates, (5) Converting Markdown/LaTeX to Typst
Generate PR description using repository's PR template and current branch changes, copy to clipboard
Provider-independent localization and dubbing production direction for AI agents producing translated videos, dubbed ads, social clips, explainers, avatar videos, documentaries, training media, and multi-market campaigns. Use when planning or reviewing subtitle-versus-dub strategy, translation adaptation, glossary/style-guide setup, casting or voice matching, lip-sync or phrase-sync direction, synthetic dubbing boundaries, captions/subtitles handoff, accessibility, platform delivery, client review, or localization QA.
Provider-independent dialogue editing and ADR direction for AI agents producing generated videos, films, ads, avatar clips, explainers, localization/dubbing, podcasts, recuts, and social content. Use for dialogue prep, repair, room tone, take comping, sync, ADR cueing, dubbing direction, pronunciation, de-essing, plosives, mouth clicks, voice continuity, synthetic voice consent boundaries, captions/transcripts handoff, mix handoff, loudness, intelligibility, accessibility, and QA.
Provider-independent audio mixing and mastering direction for AI agents finishing generated videos, ads, trailers, explainers, podcasts, recuts, avatar clips, music videos, documentaries, and social content. Use when planning, mixing, repairing, mastering, QCing, or delivering dialogue, music, ambience, and sound effects, including loudness/true-peak targets, intelligibility, accessibility, stems, stereo/immersive decisions, platform/client specs, and final audio QA.
Provider-independent captions and media accessibility direction for AI agents producing or finishing generated videos, ads, social clips, explainers, avatar videos, documentaries, podcasts/video recuts, training media, and localized content. Use when planning, authoring, reviewing, localizing, burning in, exporting, or QAing captions, subtitles, SDH, transcripts, audio description, flashing/motion safety, caption readability, or accessible media handoff files.
Claude Skills — questions
Answers built from the skills we actually parsed.