visual-keywords
Generate keyword strings for images, screenshots, or visual references — optimized for fuzzy search, not alt text or prose. Use when the user says 'keywords for this image', 'tag this for search', 'visual keywords', or wants searchable labels on an Eagle asset.
What this skill does
# Visual Keywords Analyze the provided visual content and generate a dense string of searchable keywords. This is intended to make images and media easier to fuzzy search during recall, not to act as alt text or prose description. Specify the type: - **Aesthetic/Image keywords** — For design work, photos, illustrations, UI screenshots - **Font keywords** — For typeface specimens, font families, typography examples ## For Aesthetic/Image Keywords Analyze and extract keywords for visual elements, style, composition, and emotional impact. ### Analysis Framework - **Subjects/Motifs**: Main elements, objects, themes (portrait, landscape, geometric shapes, etc.) - **Mood/Adjectives**: Emotions and aesthetics evoked (cheerful, gloomy, elegant, grungy, etc.) - **Medium/Context**: Type of visual (photo, illustration, 3D render, graphic design, UI, etc.) - **Style/Genre**: Artistic influences, design paradigms (Art Nouveau, brutalist, steampunk, etc.) - **Color Palette**: Dominant colors and schemes (pastels, neon, earth tones, monochrome, etc.) - **Composition**: Layout, perspective, symmetry, visual flow (closeup, isometric, minimalist, etc.) - **Emotional Impact**: Intended feelings (awe, mystery, calm, nostalgia, unease, etc.) - **Details**: Settings, techniques, textures, lighting, time period ### Output Format Synthesize into a dense string of keywords using concise, shorthand style. Omit articles, prepositions, and grammatical connectors. Avoid prose or alt-text style descriptions. Focus entirely on maximizing keyword matching for fuzzy search. ~100-150 words per image in a code block. **Example:** ``` majestic dragon craggy cliffside wings outspread tail coiled glowing crystal orb fantasy concept art intricate scales spines horns luminous full moon starry night sky deep blues purples orange accents dramatic cinematic composition close-up head distant body background polished painterly aesthetic atmospheric haze lighting effects highly detailed digital illustration awe power magic wonder adventure ``` ## For Font Keywords Analyze typeface characteristics, stylistic influences, emotional impact, and usage contexts for keyword extraction. ### Analysis Framework - **Category**: Primary classification (serif, sans-serif, display, script, monospace) - **Weights/Proportions**: Range shown (thin to heavy, compressed to wide) - **Distinctive Features**: Unique letter shapes, strokes, terminals, details - **Similar Fonts**: Comparable well-known typefaces for reference - **Mood/Personality**: Emotions evoked; how it changes across weights - **Era/Influences**: Time periods, design movements, cultural traditions - **Formality/Aesthetics**: Overall character (playful, mechanical, organic, sophisticated, etc.) - **Expressive Genres**: Fiction/story vibes this font suits (cyberpunk, horror, coming-of-age, etc.) - **Non-Fiction Uses**: Academic fields, journalistic beats, professional contexts - **Medium Suitability**: Publications, products, design projects (billboards, textbooks, etc.) - **Use Cases & Pairings**: Specific contexts; complementary visual treatments ### Output Format Synthesize into information-dense keyword strings. Omit sentences and conversational filler. The goal is searchability and recall. ~150-300 words in a code block. **Example:** ``` hand-brushed sans-serif 2 weights italics energetic uneven strokes ragged edges wobbly baseline similar Architype Van Doesburg Boisterous Inline exuberant spontaneous unfiltered manic raw impulsive intensity graffiti guerrilla postering untamed creative outpouring playful unhinged era influences Futurist anti-art abstract expressionism punk DIY aesthetic genres psychedelic thrillers transgressive fiction introspective autobiographies underground comics beat poetry indie films lo-fi zines edgy fashion progressive activism unmediated transmission thoughts page unapologetic statement identity visceral urgency display sizes electric dynamism smaller sizes pairings xerox-distressed photos low-res bitmaps anarchic collages fluorescent colors brash auteur-driven designs fringe publications experimental music street art youth-oriented brands ``` --- Provide the visual content and specify which type of keywords you need.
Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.