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 polished executive or client presentation decks in Codex through a staged workflow: optional research, user direction, narrative outline, subagent critique, wireframe, mood boards, and final full-slide image design. Use when the user asks to make a polished presentation, turn research, notes, or dictated direction into a deck, create an executive/client deck, build a deck with mood boards, or design slides using image generation. Requires the imagegen skill for mood boards and final slide images.
> Analyzes one Mercado Livre product and its competitors. Use this skill when a user wants to size up a single product or the products that compete with it — by a Mercado Livre link, a JoomPulse link, a photo, or a row of data. It returns a product card for the subject plus a ranked table of comparable products, each with price, estimated monthly sales and revenue, logistics, and does this sell", "find similar products", "find competing products", and the pt-BR equivalents "analisar este produto", "quanto vende esse produto", "produtos parecidos", "produtos concorrentes", "análise por foto", "análise por link". For "what new products should I add to my store" across a whole catalog, use the assortment gap-analysis skill instead — this skill analyzes a single product the seller already has in hand.
> Finds product listings that appear to represent the same real-world product as a reference item. Use this skill when a user wants to find duplicate listings, match a product across listings, identify identical products by title or URL, compare product photos against marketplace listings, or find the same product on Mercado Livre.
SLASH-COMMAND-ONLY. Invoke ONLY when the user explicitly types the literal `/watch-video` slash command. Never auto-trigger on phrases like "watch this video," "summarize this video," "take notes on this video," or on a bare YouTube URL. For ad-hoc YouTube questions, fetch the transcript directly (YouTube page or yt-dlp) and skim — do not run this heavyweight pipeline.
This skill should be used when working with AssemblyAI’s Speech-to-Text and LLM Gateway APIs, especially for streaming/live transcription, meeting notetakers, and voice agents that need low-latency transcripts and audio analysis.
Use when user asks to search the web, look something up online, find current/recent/latest information, or needs cited answers. Triggers on "search", "look up", "find out about", "what is the current/latest", image searches, news lookups. NOT for searching code/files—only for web/internet searches.
Use this agent when you need to review and edit text content to conform to Every's specific style guide. This includes reviewing articles, blog posts, newsletters, documentation, or any written content that needs to follow Every's editorial standards. The agent will systematically check for title case in headlines, sentence case elsewhere, company singular/plural usage, overused words, passive voice, number formatting, punctuation rules, and other style guide requirements.
Record a video walkthrough of a feature and add it to the PR description
This skill should be used when generating and editing images using the Gemini API (Nano Banana Pro). It applies when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.
Upload, sync, and manage files across cloud storage providers using rclone. Use when uploading files (images, videos, documents) to S3, Cloudflare R2, Backblaze B2, Google Drive, Dropbox, or any S3-compatible storage. Triggers on "upload to S3", "sync to cloud", "rclone", "backup files", "upload video/image to bucket", or requests to transfer files to remote storage.
Convert Deckset-format markdown slides with speaker notes to presentation video with TTS narration. Use when user requests to create video from slides, generate presentation video, or convert slides to MP4 format.
Create presentation slides in Markdown format (Deckset/Marp compatible). Use when user requests to create slides, presentations, or convert documents to slide format. Handles image positioning, speaker notes, and proper formatting.
Create and manage Obsidian Canvas files with automatic layout generation. Use when creating visual knowledge maps, weekly reading summaries, or project timelines.
Add chapters to videos by transcribing, analyzing, and generating structured markdown documents with YouTube chapter markers. Optionally generate highlight videos.
Unified workflow combining video-clean and video-add-chapters with transcript reuse and chapter remapping
Extract YouTube video transcripts and generate AI-powered summaries in any language. Converts videos to structured markdown documents with summaries, key points, and timelines.
>- Generates AI images through fal.ai HTTP queue workflows from a Bun CLI. Use this skill when a task needs AI image generation, schema inspection, image upload, or queue polling through fal.ai. Do not use for video, audio, 3D, or non-image workflows.
>- Creates and materially redesigns polished, dependency-free HTML slide decks from five styled templates, with stepped and automatic reveal animations driven by named motion presets, a cross-slide title morph, and PDF plus MP4 export at 1080p, 2K and 4K with reveals optionally timed to a narration/caption track. Use this skill when asked to create, build, redesign, restyle, or export a slide deck, presentation, pitch deck, talk, tutorial/video slides, course slides, slide b-roll for a video, or keynote-style slides as a web page. Do not use for ordinary websites or apps, editing proprietary slide files (PowerPoint, Keynote, Google Slides), research-only requests without a deck deliverable, or generating slide images only.
HX Audio Player for music and sound playback. Use when implementing music playback, sound effects, HXMusic, HXSound, or audio in HXAudioPlayer. Library is in the hxaudio module.
Audit for performance and battery - layout thrash, heavy animations, timers, background tasks. Identifies hotspots affecting smoothness and power consumption. Use before releases or when users report lag/battery drain.
Design meaningful interactions, microinteractions, animations, state machines, gesture patterns, error prevention, and product behavior. Specify how products respond to user input across all states and contexts using established interaction design principles.
Create customer journey maps, service blueprints, experience maps, empathy maps, and other alignment diagrams. Guides diagram type selection, content structure, illustration syntax, and alignment workshops.
根据用户描述生成高质量绘图 prompt，并按通用、roadmap、schematic 模式调用 gpt-image-2 或 Nano Banana/Gemini 图片模型 API；gpt-image-2 默认使用低画质、原生尺寸和 JPEG，第 2 轮起基于上一轮图片做保真微调。
Phase-1 (S4) of a comic movie — PRODUCE the canonical reusable references the whole spiral conditions on. Per asset it bakes ONE canonical 1:1 white-bg identity ref via the agent mcp__codex__codex sidecar bake (Codex native image_gen — conditioned, never hand-pasted) OR, for a deterministic motif (clock/chart/stamp/star-map), emits a single-source parametric SVG from a python generator (asset_lib.py). Hashes + base64-encodes the bake into the asset node's output_ref (all 6 fields or it's a schema violation), versions every ref _v{NNN} with a supersedes self-edge, and runs a single-source collision gate. GENERATES ONLY — it NEVER self-locks/approves (that is the cross-model asset-review-loop's job, a different model family). Identity is BRING-YOUR-OWN; the ARIS chibi duo is only the worked example.
The authoring-side DIEGETIC continuity AUDIT — it produces the world-state evidence that comic-cross-layer-gate `--gate continuity` adjudicates against the storyboard's MOTIF STATE TABLE (motif_ledger). It checks each baked panel STRICTLY against the pre-committed table row, then emits a continuity review-node the gate fuses (it does NOT own a bake-time KEEP). Gemini auto-gemini-3 is the per-panel FACT extractor (one analyzeFile per panel image, fact-only); Claude is the deterministic JUDGE against the table row + the global invariants (DDL countdown monotonic never-rewind, bounce S02 = the film's ONLY MAX, the two metric columns never co-mingle, the non-adjacent MIRROR LOCKS). CAST-AWARE: a panel simply NOT containing a character is design, NEVER a drift penalty (absence≠drift). On a same-panel miss it requests `retry_panel`; a cross-frame motif break is routed into the page assembly_gate's drift set (seed-anchored comic panels are independent — no cross-panel rollback). Use when the user says "查连续性", "continuity audit", "连戏检查", "world-state drift", "motif table check", "对一下分镜表", or a panel has been baked and you need to verify it realized its motif-table row.
The ONE parameterized score-fuser for EVERY comic-author authoring gate — `--gate intent|outline|asset|storyboard|blueprint|continuity|p0_proof|compile`. A single fuser (not a per-layer split) prevents drift. It NEVER re-runs a reviewer; it collects the reviewer score-nodes already on the wiki (via `reviews` edges), fuses them deterministically (min-fuse per dim, max for inverted dims, SKIP missing dims — never substitute 0), then a Codex xhigh adjudicator (NO model pin — follows the local codex config) that sees ONLY structured inputs (scores + tags + raw artifact PATHS + verbatim source context + verbatim rubric — NEVER reviewer prose) makes an asymmetric call (threshold HARD-vetoes "advance"; Codex SOFT-vetoes everything else). The `--gate p0_proof` mode is the zero-credit pre-production proof: a text-only cross-model adversarial review of the pipeline's CODE + IR-CONTRACT + ENGINE state-machine that MUST clear all blockers in BOTH non-author families and then MINT the digest-bound decision:p0_proof certificate via scripts/run_p0_proof.py BEFORE a single metered image-generation credit is spent. Use when a sibling step (intent-parser, outline-creator, asset-review-loop, storyboard-creator, blueprint-author, continuity-audit, json-compiler) defers its acquittal to "the gate", or the user says "过 gate", "cross-layer gate", "审这一层", "p0 proof", "证明流水线再花钱".
Phase-1 Layer-0 of the comic-author suite — turn ANY raw idea / a locked video skeleton / an audience note into ONE schema-valid intent_spec node that fixes the logline (an editorial climax), the tagline, and the named DUAL-IDENTITY design constraint the whole comic optimizes against. Codex-as-parser (raw bytes + schema, never Claude's gloss) + reviewer-independence + banned-vocab lint + confidence-gated under_review routing + a HARD user-approval gate. It NEVER invents panels, assets, or storyboard detail, and NEVER silently defaults — every assumption becomes an uncertainties[] entry. Use it whenever a comic starts from a fuzzy brief and you need a locked, auditable premise before outlining.
Generate a publication-grade method / architecture / pipeline / workflow figure (a paper or README 'Figure 1') as an AUDITABLE object, not a one-shot prompt. A deterministic JSON blueprint LOCKS the content; an image model (gpt-image-2, baked by the agent via mcp__codex__codex — Codex GPT-5.5 xhigh, sandbox workspace-write) bakes the aesthetic from a labeled-condition render + the project's real identity refs; a cross-model panel (Gemini + Codex) blind-transcribes the result and a script hard-diffs it against the blueprint; the loop regenerates until Gemini AND Codex approve and the diff is empty — then the calling agent (Claude) gives the structural sign-off. NOT for statistical plots (use a plotting tool) or photo scenes.
> Image optimization analysis for SEO and performance. Checks alt text, file sizes, formats, responsive images, lazy loading, and CLS prevention. Use when user says "image optimization", "alt text", "image SEO", "image size", or "image audit".
Use when the user wants to repurpose a YouTube video for Bilibili, add bilingual (English-Chinese) subtitles to a video, or create hardcoded subtitle versions for Chinese platforms.
Add the canonical Clawd character to a user-provided photograph by selecting one bundled pose reference and compositing it with the photo through built-in image generation. Use this skill whenever the user asks to put, add, place, hide, hang, sit, stand, sleep, lean, climb, hug, push, pull, or otherwise make Clawd interact with an object in a photo, including requests phrased in Chinese such as “把 Clawd 放进图里”, “让它探头”, “挂在屏幕上”, or “抱住电线”.
>- Create original pixel-art "Clawd" crab emotes as pure SVG + CSS keyframe animations (no frame-by-frame GIFs, no raster sprites), and optionally export them to looping GIFs. Each emote is a tiny pixel crab doing an activity — holding a prop, wearing a hat, reacting — built from <rect>/<polygon>/<circle> and animated with @keyframes. Use this skill whenever the user wants to make, add, fix, or extend Clawd / pixel-crab / desk-pet emotes, mascot animations, "表情/图鉴" cards of an animated character, festival or daily-life crab stickers, or asks to turn such SVG animations into GIFs — even if they don't say the word "SVG". Also use it when fixing visual bugs in these emotes ("帽子悬空/hat floating", "脚断开/feet detached", a prop that looks disconnected from the hand), since the fixes follow specific structural rules documented here.
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
Generates optimized prompts for any AI tool. Use when writing, fixing, improving, or adapting a prompt for LLM, Cursor, Midjourney, image AI, video AI, coding agents, or any other AI tool.
| 月老鳌烨的婚恋咨询互动体验。基于409个视频、69万字语料深度蒸馏， 提炼完整的连麦互动流程引擎、7条核心公理、6套方法论和精确的表达DNA。 用途：以鳌烨的身份与用户做连麦式婚恋咨询，完成从信息采集到方案推荐的完整闭环。 当用户提到「鳌烨」「月老」「连麦」「婚恋分析」「帮我看看条件」「打个分」时使用。 即使用户只是说「用鳌烨的方式聊聊」「月老模式」「鳌烨上线」也应触发。
Amazon 图片诊断助手适合运营、产品、销售、software在用户提出“主图能让人买吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成商品/店铺诊断、卖点与风险提示、运营动作建议。
视频质量诊断助手适合市场营销、运营、内容媒体、电商在用户提出“这段视频够发布吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
图片压缩助手适合内容创作者、市场营销、运营、内容媒体在用户提出“图片能再小一点吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成视觉/创意诊断、提示词或分镜方案、发布规格检查。
封面图生成助手适合内容创作者、市场营销、运营、内容媒体在用户提出“封面能吸引点击吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成视觉/创意诊断、提示词或分镜方案、发布规格检查。
图片生成助手适合内容创作者、市场营销、运营、内容媒体在用户提出“这张图能用吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成视觉/创意诊断、提示词或分镜方案、发布规格检查。
图文卡片生成助手适合内容创作者、市场营销、运营、内容媒体在用户提出“卡片图好读吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成视觉/创意诊断、提示词或分镜方案、发布规格检查。
视觉质量诊断助手适合市场营销、运营、内容媒体、电商在用户提出“这张图够发布吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
视觉质量诊断助手适合内容创作者、市场营销、运营、内容媒体在用户提出“这张图够发布吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成创意方案、提示词/脚本、制作清单。
视觉质量诊断助手适合市场营销、运营、内容媒体、电商在用户提出“这张图够发布吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
视觉质量诊断助手适合销售、运营、市场营销、电商在用户提出“这张图够发布吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成视觉/创意诊断、提示词或分镜方案、发布规格检查。
视觉质量诊断助手适合市场营销、运营、内容媒体、电商在用户提出“这张图够发布吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
Remotion 实践助手适合technical、运营、software、内容媒体在用户提出“视频代码够稳吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
AI 视频剪辑诊断助手适合市场营销、运营、software、内容媒体在用户提出“这段素材怎么剪”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成剪辑结构诊断、片段取舍和时间点建议、字幕配音与平台重构清单。