Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Creative & media
Complete CLI harness for FreeCAD parametric 3D CAD modeler (258 commands). Covers ALL workbenches: Part (29 primitives + boolean + mirror + loft + sweep), Sketcher (26 cmds: geometry + constraints + editing), PartDesign (38 cmds: pad/pocket/groove/fillet/chamfer/patterns/hole/datum), Assembly (11 cmds), Mesh (16 cmds), TechDraw (15 cmds: views + dimensions + PDF/SVG), Draft (33 cmds: 2D shapes + arrays + transforms), FEM (12 cmds), CAM/CNC (10 cmds), Surface (6 cmds), Spreadsheet (7 cmds), Import (13 formats), Export (17 formats), Measure (12 cmds), Materials (21 presets). Headless FreeCAD export to STEP/IGES/STL/OBJ/DXF/PDF/glTF/3MF.
The OpusClip craft skill — turn long video (podcasts, webinars, interviews, streams) into publishable short clips with AI candidate-finding, honest triage, and a human-reviewed pipeline. Use when someone wants to use OpusClip, turn a podcast/webinar/VOD into shorts, understand the Virality Score, pick a plan, pull a moment from a long recording (ClipAnything moment search), or automate a clipping pipeline. Uses the CLIPS framework. Reads captions-and-clipping + the source skill + brand-profile first. The agent plans the pipeline, credit math, and QA; the HUMAN reviews every clip and approves; WoopSocial publishes the finished exports (it does not clip or edit video). Integrity spine: the Virality Score is a PREDICTION for triage, never truth; 1 credit = 1 SOURCE minute; no unreviewed auto-post pipelines; no out-of-context clips. Distinct from captions-and-clipping (general craft), descript (long-form edit), capcut (short-form polish), and the platform publishing skills.
Generate a high-cut-density action / fight scene by first composing a 16-cell storyboard image, then driving Seedance 2.0 image-to-video off that storyboard. Stacks GPT-Image-2 (character sheet + storyboard), Nano-Banana-2 (environment concept), and Seedance 2.0 i2v.
This skill should be used when the user asks to "stop scope creep", "limit revision rounds", "write SOW revision language", "the client keeps asking for changes", "how do I say this is out of scope", "translate vague feedback", "client said make it pop", or "write a change-order email". It provides revision-cap contract language, a consolidated-feedback request, a vague-feedback translator, and a polite out-of-scope email.
A generative video producer for native 4K, multi-shot storyboarding, and motion transfer (Kling-led). Use when someone wants “native 4K video,” “a multi-shot sequence / several cuts in one clip,” “transfer a motion/dance from a reference video,” “animate a product still” (image-to-video), or mentions Kling / Kling 3.0 / Motion Control / Multi-Shot. Kling generates clips; audio is a guide track (pair ai-voiceover for final dialogue); a human assembles and reviews; WoopSocial schedules/publishes. Below the ai-video router, sibling to veo-3 (all-round + audio) and luma (HDR/mood); edit-grade control jobs go to runway. Consented motion/avatars only; AI disclosure mandatory.
This skill should be used when the user asks to "quote a motion project", "estimate this animation job", "how much should I charge for this video", "what's my day rate", "build a quote", "price a 30-second explainer", or "is this estimate fair". It explains motion-design pricing models, the day-rate math, the cost drivers, and outputs a line-itemed quote with a worked example.
The AI avatar / talking-head mini-skill (HeyGen). Use when someone wants an "AI avatar video," "talking-head video," "digital twin / clone of myself on camera," "faceless presenter video," "spokesperson video," or to "translate/localize a video into many languages with lip-sync." The creator/social avatar lane; enterprise L&D/training/SCORM avatar work routes to synthesia, and a real human on camera (founder/trust content) routes to talking-head-and-piece-to-camera. Scripts and sets up the video; HeyGen renders; the human reviews/edits; WoopSocial schedules/ publishes. Sits below the ai-video router, sibling to veo-3. Consented avatars only; AI disclosure mandatory.
The Suno craft skill — generate full songs, brand music, and audio (vocals, lyrics, stems) with the right tier, honest rights, and structure control. Use when someone wants to make music with Suno/AI, create a brand sound/theme/jingle/podcast intro, control song structure (meta-tags), build a consistent sonic identity (Personas, Voices), split stems, distribute AI music to Spotify/YouTube, or asks whether they own their Suno songs. Uses the TRACK framework. Reads ai-music-and-sound (the router) + brand-profile + the content skill the music serves first. The agent writes briefs/lyrics and can drive the API where connected; the HUMAN's ears judge every track; WoopSocial publishes the content it scores. Rights: paid plan from the first note, commercial rights not ownership, no indemnification while litigation runs, AI-disclosure at distribution; never clone a real artist's voice. Distinct from ai-music-and-sound, ai-voiceover/elevenlabs (spoken TTS), capcut, and podcast-and-audiograms.
MiMo V2.5 TTS speech synthesis. Generates speech with Xiaomi's MiMo V2.5 TTS model family. Activate this skill when text needs to be turned into speech, a voice message sent, content read aloud, or when the user asks to "say it out loud" or "reply by voice". Supports three modes — preset voice, voice design and voice cloning — plus natural language control and director mode, style tag control for tone, emotion and dialect, and singing with preset voices.
Applies the SUCCESs Framework from Made to Stick by Chip Heath and Dan Heath. Use when crafting messages that need to be remembered, writing pitches, creating presentations, designing training materials, telling stories that drive action, or diagnosing why a message isn't landing. The six principles (Simple, Unexpected, Concrete, Credible, Emotional, Stories) diagnose and fix communication failures. Triggers include 'how do I make this memorable', 'my pitch isn't landing', 'people forget what we told them', 'how do I tell a better story', 'our training materials are boring', 'how do I present data compellingly', 'nobody remembers our message', 'how do I get people to care about this', 'my writing is too abstract'. NOT for channel selection (use Traction), not for brand messaging structure (use StoryBrand), not for positioning (use Obviously Awesome).
The Descript craft skill — edit talk content (podcasts, interviews, talking-head video) by editing the transcript instead of the timeline. Use when someone wants to edit in Descript, edit a podcast or interview, remove filler words/silences, clean up audio (Studio Sound), fix a flubbed word without re-recording (Overdub), auto-cut between speakers, turn one recording into clips + show notes + chapters, or asks about Descript's plans, credits, or Underlord. Uses the WORDS framework plus the interview rule: concision yes, meaning-flips never. Reads the recording's content skill + brand-profile/voice-builder first. The agent plans the edit (API/MCP where connected); the HUMAN verifies by ear and approves; WoopSocial publishes the exports. Overdub is consent-verified own-voice-only; tiers/credits are verified in-app. Distinct from capcut (visual short-form), captions-and-clipping/opus-clip (clip selection at scale), ai-voiceover (dedicated TTS), and podcast-and-audiograms (the strategy).
Expert Godot shader patterns for batch-safe hitflash, alpha-scissor foliage/dissolve, screenspace postFX, depth reconstruction, triplanar, and instance uniforms — not first-shader tutorials. Trigger on draw-call batching breaks, discard vs depth-prepass, foliage shadows, post-process quads, or world-position FX. Keywords: instance uniform, ALPHA_SCISSOR, hint_screen_texture, hint_depth_texture, global uniform, sampler2DArray, canvas_item, spatial, post-processing.
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成", "AI视频", "短剧", "广告视频", "视频延长", or discusses video prompt engineering, AI video generation, or Seedance 2.0 workflows.
The live + realtime-format skill -- plan, promote, run, and repurpose livestreams and realtime moments (IG Live, TikTok LIVE, YouTube Live, LinkedIn Live, X, live shopping). Use when someone wants to plan a livestream, go live, run a live Q&A/AMA, do live shopping, or repurpose a live recording. Live is the "human premium," but the value is the event around it: promo before, engagement during, repurposing after. Uses the STAGE framework. Reads brand-profile + the live's goal first. The agent plans the live (platform + run-of-show), writes + schedules the pre-live promo, advises the live playbook (the human broadcasts natively), and plans the repurposing (recording -> clips). WoopSocial schedules the promo and publishes the repurposed clips; it does NOT broadcast, moderate in realtime, or run live shopping. Never fabricates viewer numbers. Distinct from community-management (native live moderation), campaign-and-launch-planning, and captions-and-clipping (the clip craft it routes to).
Diagnose what any story needs regardless of its current state. This skill should be used when a writer is stuck, evaluating story problems, when narrative feels broken, or when someone asks 'what's wrong with my story?'. Keywords: story, diagnosis, stuck, narrative, plot, character, worldbuilding, revision.
Prompt and direct Runway (Gen-4.5, Aleph) — the control-grade generative video tool for camera moves, character consistency, and edit-grade shots. Use when someone wants “a specific camera move,” “the same character across multiple shots,” “to edit/restyle existing footage,” “a branded product/ad shot,” “film-style previz,” “image to video with Runway” (animate a still), or names Runway / Gen-4 / Gen-4.5 / Aleph / Act-Two / Motion Brush / References. Runway generates clips; a human assembles/edits; audio comes from ai-voiceover; WoopSocial schedules/publishes. Below the ai-video router, sibling to veo-3 (all-round + native audio), kling (native 4K/multi-shot/motion), and luma (cinematic HDR/mood). Consented performances only (Act-Two); AI disclosure mandatory.
Generates Chinese/Japanese speech with StepFun's Contextual TTS — default stepaudio-2.5-tts, stepaudio-3-tts for whisper/inline() prosody. Replaces step-tts-2's voice_label with natural-language instruction. Use for emotional/prosody-controlled synthesis, batch voice lines, migrating from step-tts-2, or cloned voices (2.5/step-tts-2, not v3). Triggers on 阶跃 TTS, 语音合成, 配音. Not for transcription (use stepfun-asr).
The FLUX craft skill (Black Forest Labs) — generate and edit on-brand images with the right variant and license. Use when someone wants to generate images with FLUX/FLUX.2/Kontext, edit a generated image, keep a character or product consistent across a campaign, render legible text in images, get brand-exact colors, pick between FLUX variants, or asks if their FLUX use is commercially licensed. Uses the PIXEL framework. Reads image-prompt + brand-profile + design-and-templates first. The agent writes prompts/edit instructions and can call the API where connected; the HUMAN judges every image; WoopSocial publishes. License spine: [dev] outputs are commercial-OK but self-hosting for a commercial service needs a paid BFL tier; Apache-2.0 paths are [schnell]/[klein] 4B. Never use unpermitted likeness, clone trade dress, strip provenance, or invent stats. Distinct from image-prompt, ideogram/nano-banana/Midjourney (sibling tools), ai-image-editing (the edit router this feeds), and canva.
Use to write great prompts for Ideogram (Ideogram 4.0) to generate design-grade images for social media — the image-prompt-craft mini-skill for typography + layout, sibling to nano-banana under the image-prompt router. Run when the user wants an Ideogram / AI image prompt where TEXT and LAYOUT matter: quote cards, carousel covers, posters, logos/wordmark concepts, signage, ads with headlines, or any image that must say words correctly. Reads brand-profile for style/palette. Ideogram's standouts: best-in-class in-image text rendering, structured JSON prompting (bounding boxes, hex palettes), native 2K, transparency, and Layerize Text. Also covers the Ideogram app-editor workflow (Canvas, Magic Fill, Extend, Style References). Honest: review rendered text, disclose AI images and sign with C2PA, never generate real identifiable people or copyrighted characters/IP/logos. The API/connection and the generate -> upload to WoopSocial Media -> attach flow live in tools/integrations/ideogram.md.
Search and download images via Google Custom Search API with LLM-powered selection. This skill should be used when finding images for articles, presentations, research documents, or enriching Obsidian notes with relevant visuals. Supports simple queries, batch processing from JSON config, automatic config generation from terms, and full note enrichment with automatic image insertion below headings.
The Luma Dream Machine craft skill — generate cinematic AI video shots (Ray3: text-to-video, image-to-video, keyframes, character reference, Modify V2V, HDR) with draft-first economics and the right rights. Use when someone wants to generate video with Luma/Dream Machine/Ray3, animate a still into video, keep a character consistent across shots, restyle real footage, control credit burn, pick a Luma model or plan, or build a multi-shot AI brand film. Uses the DREAM framework. Reads ai-video + brand-profile + short-form-video-script first. The agent writes shot briefs and can drive the API where connected; the HUMAN judges every clip; WoopSocial publishes. Generations are shots not films (no native audio); Draft Mode first, HDR only for finals; verify tiers in-app. Never use unpermitted likeness, generate fake-event footage, or state credit rates as fact. Distinct from ai-video, veo-3/kling/runway, flux (the stills this animates), heygen/synthesia, and capcut.
The Synthesia craft skill — produce avatar video (training, onboarding, explainers, localized series, faceless educational content) with the consent-first architecture and honest fit boundaries. Use when someone wants to make videos with Synthesia/AI avatars, create a personal avatar/digital twin, localize one video into many languages, build training/L&D video at scale, or asks whether an avatar should replace them on camera. Uses the HUMAN framework. Reads the content skill + brand-profile + voice-builder first. The agent scripts and plans (API where connected); the HUMAN approves every video; WoopSocial publishes. Spines: the fit test (avatars win at scale/localization/training, lose to a real face for trust-led content); consent-first likeness; the script is most of avatar quality — lock copy before generating. Never impersonate, fake endorsements, or skip AI-disclosure. Distinct from heygen, talking-head-and-piece-to-camera, ai-video/luma, ai-voiceover, and descript.
Watch any video (URL, stream, or local path) via Watch Skill. Downloads, extracts scene-aware deduped frames, OCRs them, transcribes (captions first, then local Whisper — offline by default), indexes everything, and hands the result to the agent. Follow-up questions are answered from the persistent index without re-processing.
The audio-to-social pipeline skill—turn a podcast episode into short, branded, captioned clips and audiograms that drive people back to the full episode. Use when someone wants to repurpose a podcast, make podcast clips, create audiograms, or promote an episode on social. Uses the WAVES framework. Reads brand-profile + the episode first. Select clips by listener-retention data + timestamped transcript, not just an AI virality score, plus a strategic CTA back to the episode. The agent plans the clip strategy, briefs the clip/audiogram creation, plans the cadence, and writes hooks/CTAs; a clip or audiogram tool produces the clips; the creator finalizes; WoopSocial publishes on a schedule and does NOT record/edit/transcribe the podcast, generate clips, or host it. Captions are non-optional (85% sound-off). Never fabricates virality or clips someone's copyrighted podcast. Distinct from captions-and-clipping, content-recycling, and youtube-long-form.
Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts.
Use when someone provides raw talking-head footage (a phone clip, selfie video, or webcam recording) and wants it edited into a short-form reel, TikTok, or YouTube Short in their own brand style: “edit this,” “make this a reel,” “cut this down,” “add captions and graphics,” or “send it to CapCut.” Also use the first time someone installs this skill or says “set up my brand.”
Strip the machine fingerprint out of any draft - em dashes, AI slop words, invisible watermark characters - and score it against a five-check detection panel before it goes out. Use whenever text needs to sound human, when the user says humanize, "does this sound like AI", "remove the em dashes", "de-slop this", "this sounds like ChatGPT", or before any caption, script, comment, reply or DM is shown to the user.
Automate Adobe After Effects via ExtendScript. Use when the user asks to create, modify, or query anything in an After Effects project — layers, keyframes, expressions, effects, compositions, assets, rendering, batch operations. Generates and executes JSX ExtendScript via osascript on macOS.
Generate a 15-second cinematic awards-ceremony video — a host announces a winner from the stage, a spotlight finds them in the crowd, they walk up to the podium, receive the award, and the LED display reveals their name and "THE BEST ACTOR".
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.
This skill should be used when the user asks to "draw every frame in JavaScript", "make an animation with no image assets", "animate this in code / on a canvas", "make a hand-drawn style animated video", "turn this into a short animated film", "make an animated explainer drawn in code", "make an animated story / picture book of my photos", or "make a zero-asset animation like the Opus 5.5 ones". Produces a single self-contained HTML file whose frames are computed on an HTML canvas (seekable, deterministic), renders it to MP4, and self-checks the result. Pairs with the soundtrack skill for code-synthesized music. NOT for charts from data (use chart-animation) or 3D/WebGL (use threejs-animation / shader-glsl from webgl-animation-skills); pure text motion and depth drawn by projection on the 2D canvas are in scope.
Create hand-drawn Excalidraw diagrams, flows, explainers, wireframes, and page mockups. Default to monochrome sketch output; allow restrained color only for page mockups when the user explicitly wants webpage-like fidelity. Use when the user asks for a diagram, flowchart, wireframe, sketch, visual explanation, mind map, architecture overview, or any Excalidraw-based drawing.
Use when creating game art through Scenario MCP: sprites, sprite sheets, icons, props, loot, tilesets and autotile terrain transitions, seamless tiles, isometric buildings, top-down maps, pixel art, UI buttons and panels, parallax background layers or depth planes for side-scrollers, and character or concept art; or when assets need transparent backgrounds, background removal, style-consistent variation batches, upscaling, pixel-grid cleanup, or PNG export for Unity, Godot, or Unreal.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.