Loading...
Loading...
Found 1,613 Skills
Craft CMS 5 front-end Twig development — atomic design, template architecture, component patterns, Vite buildchain. Covers the full site template surface: atoms, molecules, organisms, props/extends/block pattern, layout chains, view routing, content builders, image presets, Tailwind named-key collections, multi-brand CSS tokens, JavaScript boundaries (Alpine/DataStar/Vue), Vite asset loading. Triggers on: {% include ... only %}, {% embed %}, _atoms/, _molecules/, _organisms/, _views/, _builders/, _boilerplate/, component--variant.twig, _component--props.twig, image presets, Tailwind class collections, collect({}), utilities prop, multi-brand theming, data-brand, hero sections, card components, content builders, Matrix block rendering, craft.vite.script, vite.php, vite.config.ts, nystudio107, buildchain, asset loading, per-page scripts. Always use when creating, editing, or reviewing any Craft CMS front-end Twig template, component, layout, view, builder, or buildchain configuration.
Speak text aloud using system TTS (say command on macOS/Linux) or browser TTS via Chrome DevTools Protocol. Use when: (1) job completes and you want to announce results, (2) user asks to hear something spoken, (3) notifications that need audio alerts, (4) accessibility - reading content aloud.
Generate images, videos, and audio/music via Lovart AI. Also manages Lovart projects, threads (conversation history), and user settings. Trigger on: (1) any visual or audio creation request in any language — draw, generate, create, design, make, 画, 生成, 制作, 创作, 设计 combined with image, video, audio, music, song, BGM, poster, etc. (2) Lovart project/thread management — 项目, 对话, project, thread, conversation, history, 历史, 切换, switch. You CAN generate directly - never say you cannot.
HyNote AI platform help — full-stack AI note-taker that captures audio, meetings, PDFs, images, YouTube videos, and web pages into structured notes with flashcards, quizzes, mind maps, and presentation generation. Use when setting up HyNote for recording meetings or lectures and generating structured notes, troubleshooting transcription accuracy or speaker identification issues, figuring out which HyNote plan includes real-time transcription and Notion export, comparing HyNote to Otter or Granola or Coconote for AI note-taking, evaluating HyNote for multilingual transcription across web and mobile, understanding why exported notes don't include transcripts on the free plan, or deciding whether HyNote Teams is worth the per-seat cost. Do NOT use for comparing AI meeting note-takers for sales teams (use /sales-note-taker) or reviewing a sales call for coaching (use /sales-call-review).
Coconote platform help — Quizlet's AI note-taker that records lectures and auto-generates study guides, flashcards, quizzes, and AI-narrated podcasts from recordings. Use when setting up Coconote for recording lectures and generating study materials, troubleshooting recordings that crash or fail to save on long lectures, figuring out why Coconote requires payment info before accessing the free plan, choosing between Coconote free and Pro subscription tiers, comparing Coconote to Voicenotes or AudioPen or Cleft Notes for voice capture, evaluating Coconote for student lecture note-taking across iOS and Android, or understanding why Coconote only generates one quiz and one flashcard set per note. Do NOT use for comparing AI meeting note-takers for sales teams (use /sales-note-taker) or reviewing a sales call for coaching (use /sales-call-review).
Riffrec product-feedback workflow. ALWAYS load when the user posts a `riffrec-*.zip`, a bundle with `session.json` + `events.json` + `recording.webm` + `voice.webm`, a video/audio recording for product feedback, or asks how to capture and share Riffrec sessions. Routes between setup, quick bug report, and extensive analysis.
Edit existing videos using AI — remix style, upscale, remove background, and add audio via fal.ai's hosted video models.
Best practices for Remotion - Video creation in React. Use when creating programmatic videos with Remotion, adding animations or transitions, working with audio/captions, rendering compositions, embedding 3D content, building charts, or using Mapbox maps in video.
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
Python 3.11+ performance optimization guidelines (formerly python-311). This skill should be used when writing, reviewing, or refactoring Python code to ensure optimal performance patterns. Triggers on tasks involving asyncio, data structures, memory management, concurrency, loops, strings, or Python idioms.
Common Tokio patterns and idioms for async programming. Use when implementing worker pools, request-response patterns, pub/sub, timeouts, retries, or graceful shutdown.
The meta-skill that powers all other AI tools. Prompt engineering for creative applications is the art and science of communicating with AI models to produce exactly what you envision—in images, video, audio, and text. This isn't just "write better prompts." It's understanding how different models interpret language, how to structure requests for different modalities, how to iterate systematically, and how to build prompt libraries that encode your creative vision. The best prompt engineers have developed intuition for what words trigger what responses in each model. This skill is foundational—it amplifies the effectiveness of every other AI creative skill. Master this, and you master the interface to all AI creation. Use when "prompt, prompting, prompt engineering, better prompts, prompt optimization, how to prompt, prompt strategy, prompt library, prompt template, make AI understand, prompt-engineering, prompting, meta-skill, ai-creative, foundational, optimization, iteration" mentioned.