Media Claude Skills
3 032 media skills from 496 authors. They create and process images, video and sound. Half of them fit into 1 962 tokens or less — that is what one costs your context window when the agent loads it. 771 ship runnable scripts rather than instructions alone. 30 of them cannot work without an MCP server, most often rube. We also found 347 copies of these same skills sitting in other people's repositories — counted once here, not 347 times.
3 032 unique 496 authors 13 updated this month 173 from vendors
Create and revise HyperFrames HTML video compositions with CSS, GSAP timelines, composition IDs, reusable components, render commands, and proof-frame validation. Use when an agent needs to build a scene, edit a composition, render HyperFrames output, or debug HyperFrames-specific scene behavior.
Preserve visual continuity across video scenes with previous-final-frame starts, camera swipes, carryover frames, transition QA, and boundary proofing. Use when a scene must begin from the exact last frame of a previous scene, when adding camera-move transitions, when replacing scene endings, or when debugging stale starting frames.
Generate, style, preview, and burn captions, and build music/percussion beds with ducking, loop/tail selection, fade-outs, and final silence. Use when captions are requested, captions are out of sync, subtitle style needs approval, background music competes with voiceover, or music must start/end at exact moments.
Integrate raw product demo recordings into agent-created videos, including crop decisions, zoom preservation, camera swipe transitions, UI readability checks, and timing around narration. Use when a user provides screen recordings, product walkthrough clips, SaaS demos, app footage, browser recordings, or asks to transition into/out of product demo footage.
Build and revise FFmpeg-based video assemblies from scene renders and narration, including audio probing, scene retiming, pauses, trim/concat, setpts, atempo, phrase-to-visual cue alignment, and final timeline manifests. Use when narration length, visual beats, product moments, or scene boundaries must sync precisely.
End-to-end video production workflow for coding agents using HyperFrames, FFmpeg, captions, audio sync, music beds, and render QA. Use when a user asks for a complete video, multi-scene edit, launch video, product/demo video, UGC-style edit, enterprise explainer, or final assembled MP4 from prompt/script/assets.
Convert rough video prompts, scripts, reference images, and edit notes into decision-complete scene specs and storyboards for agent-led video production. Use when a user describes a scene, gives timestamped narration, asks to preserve previous scenes, references a concept image, or requests a multi-scene video plan.
Processes expense receipts and creates expense report entries following company policies with approval thresholds and validation rules. Use when user says "log this expense", "process this receipt", "create expense entry", "submit expense", "add to expense report", uploads a receipt image, or provides purchase documentation to expense.
| Call local Grok CLI, Kimi Code CLI, and Claude Code CLI with the strongest current default models and native tools. Use this qiaomu skill workflow when the user wants to run Grok 4.5 for X/web search, image/video generation, research, or multi-tool agent work; run Kimi K3 (1M) for frontend UI/CSS/React/Vue work; run Claude Fable 5, Opus 4.8, or Sonnet 5 for coding/review/refactors; run independent multi-model comparisons concurrently with native stream progress, artifact verification, private logs, cancellation, and failed-job retry; choose between the three CLIs; or wrap non-interactive CLI invocations. Trigger on phrases like "用 grok cli", "用 kimi cli", "grok 搜 X", "kimi 写前端", "qiaomu-model-cli", "调用 grok4.5", "调用 k3 1m", "用 claude code", "用 fable 5", "opus 4.8 改代码", "分别调用三个模型", "多模型横评". Not for generic cloud API registry management (use qiaomu-llm) or OpenCLI site adapters.
> Create and manage articles on the PANews platform. All operations require a valid user session. upload images, search tags, apply for a column, polish or review article content.
This skill should be used when the user asks "what does this mediainfo mean", "explain this video format", "what is BT.709", "what is H.264", "container vs codec", "why is this 10bit", "what does limited range mean", or wants educational explanations of video technical concepts.
This skill should be used when the user asks "check frame rate", "is this CFR or VFR", "video has duplicate frames", "video stutters", "frame rate issues", "why does video judder", or wants to analyze frame rate characteristics and detect timing problems.
This skill should be used when the user asks "what's wrong with this video", "why does this video look bad", "detect video artifacts", "find quality issues", "video has artifacts", "identify compression artifacts", or wants to diagnose specific quality problems in a video file.
This skill should be used when the user asks "is this interlaced", "detect telecine", "video has combing", "should I deinterlace", "3:2 pulldown", "inverse telecine", or sees horizontal lines/combing artifacts in video and wants to understand if the content is truly interlaced or telecined.
This skill should be used when the user asks "compare these videos", "which source is better", "compare blu-ray vs web", "which release should I use", "compare video quality", or needs to evaluate multiple versions of the same content to determine which has better quality.
This skill should be used when the user asks to "audit this video", "analyze video quality", "check this video file", "is this video good quality", "should I reencode this", "what format is this video", or wants to understand a video file's technical properties and quality before working with it.
Use this skill when the user asks to rewrite, humanise, de-AI, polish, localise, or align draft text to a brand voice, house style, named audience, or writing profile.
Use this skill whenever the user asks to write, generate, or create a podcast script or podcast episode — from a topic, or from source material such as a news digest, newsletter, email review, or set of articles — and optionally convert it to audio with Azure Text-to-Speech. Handles the initial request and every follow-up refinement (source, topic, length, cast, narration) in the same task.
> Analyzes meetings from pasted text, transcripts, or audio/video recordings and turns them into a structured intelligence report. Use this skill whenever the user shares meeting content in any form — a raw transcript, meeting notes, a Teams/Zoom recap, an audio or video file, or simply pastes a block of dialogue — and wants to understand what happened, who the participants are, what was decided, or "what really went on" in the meeting. meeting", "what did we agree on", "read this transcript", "insights from this call", or "what am I missing from this conversation" all indicate this skill. It surfaces explicit outcomes (decisions, action items, deadlines), builds persona profiles of the topics, and signals that were never made explicit but matter deeply to the context.
Analyze the user's own sent emails to build a personal writing-voice profile and generate a reusable personal voice skill from it. Use this skill whenever the user asks to analyze their writing style, learn their tone of voice, create/build/update a personal voice skill or "own voice" profile, make drafts "sound like me", or makes an equivalent request in any other language. Also use it when the user complains that generated emails or Teams messages don't sound like them and no personal voice skill exists yet.
>- Convert a hand-drawn whiteboard photo (or sketched process/diagram) from a discovery or working session into a polished, client-ready infographic as an editable PowerPoint slide (.pptx). Use this whenever someone uploads or references a photo of a whiteboard, a hand sketch of a process or system, or session-capture notes and wants it "cleaned up", "made presentable", "turned into a diagram/infographic", "converted for the client", or similar — even if they don't say the word "infographic". Covers two layout archetypes — linear process flows (left-to-right step rails) and network/topology maps (locations, systems, or actors connected by labeled flows). Built for consulting/ERP discovery capture but works for any whiteboard-to-deliverable conversion. Do NOT use for charts/graphs from numeric data, for editing an existing polished design, or for generating diagrams with no source sketch.
RouterOS /container subsystem for running OCI containers on MikroTik devices. Use when: enabling containers on RouterOS, setting up VETH/bridge networking for containers, managing container lifecycle via CLI or REST API, building OCI images for RouterOS, configuring container environment variables, troubleshooting container issues, or when the user mentions RouterOS container, /container, VETH, device-mode container, or MikroTik Docker.
MikroTik RouterOS CHR (Cloud Hosted Router) with QEMU. Use when: running RouterOS in QEMU, booting CHR images, debugging CHR boot failures, setting up VirtIO devices for RouterOS, choosing between SeaBIOS and UEFI boot, configuring QEMU port forwarding for RouterOS REST API, setting up inter-VM socket networking or host-side L2 capture of guest broadcasts (e.g. MNDP), or selecting QEMU acceleration (KVM/HVF/TCG).
Produce media assets using AnyCap: generate images, videos, music, speech, dialogue, and complete audio scenes from text or reference inputs, refine images through interactive visual annotation, and deliver finished assets. Covers the full production workflow from concept to delivery across all media types (image, video, music, audio). Use when creating images, videos, music, voice content, dialogue, complete audio scenes, or any visual/audio content -- including iterative refinement with human feedback. Also use for image-to-image transformation, video generation from images, audio generation from references, and annotation-driven precise edits. Trigger on: media production, asset generation, generate image/video/music/audio, create visual content, produce assets, iterative image editing, annotate and refine, creative workflow, content creation, or any task requiring AI-generated media output.
Collect structured visual feedback from humans using AnyCap's annotation tool, or create and iterate on diagrams using the interactive whiteboard (Excalidraw). Covers image annotation, URL/web page review with screen recording, video review, audio feedback, and collaborative diagramming with Mermaid input. Use when you need a human to point at things, mark regions, draw on screenshots, review a web page or UI, narrate feedback over a recording, provide any spatially-grounded visual input, create or iterate on architecture diagrams, flowcharts, or wireframes. Also use when you need to present work-in-progress to a human for approval or revision. Trigger on: get feedback, show to user, review UI, annotate, mark up, visual feedback, screen recording, user review, human-in-the-loop, approval flow, interactive review, whiteboard, diagram, draw, flowchart, wireframe, or architecture chart.
Create meme-style images, funny meme drawings, captioned photos, and lightweight social visuals with AnyCap. Use when an agent needs to turn a joke, reaction, campaign hook, quote, or screenshot into a meme image, funny doodle-style meme drawing, captioned image, or short meme-video concept. Combines AnyCap image generation and editing with deterministic local text overlay, optional video generation, and Drive or Page delivery.
AnyCap CLI -- create media humans can see and hear (generate images, video, music, and audio), understand media humans share (analyze images, video, audio), access the web (search, crawl), and deliver results humans can use (Drive for shareable file links, Page for hosted web pages). Use whenever a task involves creating visual or audio content, analyzing media, searching or reading the web, sharing files with humans, or publishing anything as a web page -- even if the user doesn't mention AnyCap by name. Also use for AnyCap authentication (login, API key, credentials), configuration, and feedback. Trigger on: image/video/music/audio generation, media analysis, web search, web crawl, file sharing, page hosting, drive storage, delivering results to users, or any mention of AnyCap.
Use Gemini Omni Flash Preview through AnyCap for practical short-video editing workflows. Trigger when a user wants to edit or refine an existing video with natural-language instructions, especially product replacement, object removal or replacement, relighting, restyling, preserving a person/scene while changing one element, or using reference images with a source video. Covers model/schema discovery, prompt construction, AnyCap CLI command patterns, scenario-specific templates, video QA, and retry strategy for `gemini-omni-flash-preview` / `edit-video`.
>- Use when someone wants to find product-data problems across a Shopify missing photos / thin or missing descriptions / pricing anomalies", "$0 or compare-at-inverted prices", "products missing type or vendor", "catalog quality sweep", "product data health check", "which listings are broken", problems, it does not change anything. Not for FIXING the problems it finds (use shopify-catalog-cleanup for debris/archiving, shopify-seo-metadata for missing SEO meta, shopify-alt-text for missing image alt text).
为 GitHub 项目生成作品集级 README.md。适用于「帮我写 README」「生成 README」「优化 README」「README 最佳实践」「项目首页」「开源说明」「README 信息图」「README 封面」「用 Codex Image Gen / gpt-image-2 生成 README 图片」等请求。输出包括克制的 README 叙事、最多两张高质量视觉资产、压缩后的图片、MIT 许可证、GitHub Description 和 Topics 推荐、推荐星级，以及可选 gh CLI 更新建议。重点是帮项目讲清自己的故事，并基于项目类型判断视觉强度，避免套模板、堆信息和过度设计。
Orchestrate iOS screenshot automation with xcodebuild/simctl, AXe plans, Koubou framing, review artifacts, and `asc screenshots` upload.
Resize, strip alpha, color-convert, validate, and upload App Store screenshots using current `asc screenshots` size data and macOS `sips`.
Create, revise, translate, scrape, crop, validate, and prepare App Store marketing screenshots and `.appstore-screenshots` workspaces. Not for general image generation.
Turn a game-design emotional canvas into a curated visual moodboard by deriving image-search queries, gathering a candidate pool from the internet, saving the files locally, rejecting weak references, and rendering both an HTML board and a flattened JPG board. Use when a user wants a moodboard from an emotional canvas, wants visual references for a game concept, or wants a reusable workflow that turns emotional direction into search terms, downloaded image files, and a tastefully curated presentation-ready board.
Define, refine, and evaluate the emotional identity, feeling, atmosphere, and vibe of a game, feature, event, region, or content theme. Use when shaping a game's emotional core, building a moodboard brief, clarifying the intended player feeling, checking whether a concept feels emotionally hollow, aligning art/audio/narrative around one emotional promise, or reviewing whether new content reinforces or dilutes the intended mood.
Audit a video game pitch deck, publisher deck, funding deck, or investor-facing game presentation for clarity, structure, persuasiveness, visual readability, business-case completeness, and publisher-fit. Use when reviewing a pitch deck before sending to publishers, polishing a deck for meetings, checking whether the deck answers the essential questions about who, what, why, when, budget, and opportunity, or evaluating whether a deck sells both the game and the collaboration case rather than just dumping information.
Evaluate a game's social features and multiplayer elements by their potential to create social satisfaction versus social dissatisfaction. Use when auditing chat, voice, friend systems, gifting, lobbies, social hubs, guilds, reporting tools, cooperative mechanics, profile surfaces, or other social elements; when comparing which features are basic, critical, booster, or secondary; or when deciding where to reduce social risk, increase social stickiness, and prioritize improvements to multiplayer or community-facing systems.
> Pilot a spatial canvas from the CLI — create canvases, generate images/text/video/agent responses, read results, recall past work, and manage nodes. The canvas is a shared workspace visible in the browser; this skill gives you a live cursor on it. Use this skill whenever the user wants to interact with the canvas platform, asks to generate images or videos on canvas, mentions "canvas", "Neo", "Agent Neo", wants to draw/create/generate visual content on the spatial canvas, references past canvas work, or says anything that implies operating on the canvas. Also triggers on /canvas-cowork.
Generate a photo-based rehab estimate for any property. Accepts photos from listing sites (Redfin/Zillow via Chrome), a local folder on your computer, or a shared Google Drive link. Use when a wholesaler needs repair cost estimates before making an offer, building a deal package, or validating their numbers. Grades property condition across 6 zones using the R.E.H.A.B.+F scoring framework and produces three-scenario rehab budgets (rental-ready, mid-range flip, full worst-case). Uses Chrome MCP for Redfin photo browsing, Perplexity for local contractor costs, and Firecrawl for finding listing URLs.
Use when modifying service config without full redeploy. Use when updating env vars and restarting single service. Use when user says "change env var", "update config", "fix variable without redeploying", "upgrade service version", "update image tag", or "change service tag".
Convert Chinese provinces, municipalities, autonomous regions, cities, counties, ancient cities, and cultural regions into restrained contemporary posters led by one culturally transformed Chinese character. Supports direct one-shot final image generation and layered production. Use when the user asks for a 中国省域文化海报、城市文化海报、地域文化视觉、极简大字海报、地区系列海报、展览主视觉、出版或社交封面，requests 直接生成、一次成图、不合成、不要后期、direct generation, or wants cultural analysis, art direction, image prompts, rendered poster images, or a coherent batch series for places such as 北京、广东、福建、江南、岭南、巴蜀 or 关中.
Use when creating storyboards from scripts, generating visual prompts for beat boards or sequence boards, or converting narrative beats into AI-generated images across platforms (Nano Banner, Midjourney, Gemini)
Use when converting static image sequences (sequence boards) into motion prompts for AI video generation platforms (Runway, Pika, SVD), or describing temporal movement for video synthesis
Use when the user says 'extract my brand voice', 'what is my writing style', or 'analyze my tone', or before any skill that writes copy for the site. Reads 5-10 published posts and persists tone, lexicon, sentence patterns, formality, signature phrases, and phrases the site never uses.
Use when the user says 'optimize my wordpress images with ai', 'compress and optimize all images', 'audit my media library', or 'improve image performance'. Downloads images, compresses, converts to WebP, resizes and renames locally, re-uploads, and updates every content reference.
Implements and customize Syncfusion .NET MAUI Button (SfButton) control. Use when working with MAUI buttons, SfButton implementation, button customization, or visual states. Covers button icons, background images, RTL support, custom button views, button styling, events, and checkable buttons.
Implements Syncfusion .NET MAUI Carousel (SfCarousel) for navigating through image data or content collections. Use when implementing carousel controls, populating carousel items, or configuring view modes (linear/default). Covers animations, load more functionality, UI virtualization, transformations, and swipe events.
Implements Syncfusion .NET MAUI Effects View (SfEffectsView) for modern touch interactions and visual feedback. Use when implementing ripple effects, touch feedback animations, selection indicators, scaling animations, or highlight overlays for buttons, cards, lists, or images. Covers touch effects, ripple animations, selection states, and interactive visual feedback.