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.
- Installs
- 53
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/nweii/agent-stuff --skill visual-keywords- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads visual-keywords automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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.
FAQ
What does the visual-keywords skill do?
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.
How do I install visual-keywords?
Run npx skills add https://github.com/nweii/agent-stuff --skill visual-keywords in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/visual-keywords/ (personal) or .claude/skills/visual-keywords/ (project).
Which AI agents can use visual-keywords?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is visual-keywords safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains visual-keywords?
It is published by nweii in nweii/agent-stuff. It has 53 recorded installs.
More from nweii/agent-stuff
suggest-lucide-icons
nweii/agent-stuff
Pick Lucide icons for a concept, UI placement, or vault note. Searches the full Lucide catalog for real, verified icon names. Use when the user says 'what icon for X', 'suggest a Lucide icon', 'pick an icon', or needs an icon for note frontmatter, a button, or a section header.
obsidian-templater
nweii/agent-stuff
Open the skill to read its SKILL.md instructions.
validating-startup-ideas
nweii/agent-stuff
Find and validate startup ideas by mining user complaints, crafting premises, and navigating the idea maze. Use when discovering product opportunities, validating ideas, shaping solutions, researching user pain points, or exploring what to build.
Popular media & creative skills
hyperframes
heygen-com/hyperframes
Read first to make, edit, animate or render any video with HyperFrames (HTML rendered to video), including launch films, explainers, music videos, charts, maps, vertical clips, title cards, captions and overlays. Holds the render contract, the work loop and what each kind of video needs.
media-use
heygen-com/hyperframes
Get or make any media for a HyperFrames video - music, sound effects, images, icons, logos, voiceover, avatar and generated video, transcripts, cutouts, colour grades and looks - with HeyGen or free local tools, and mix placed audio. Also for footage that looks dark, flat or dull, or should be stylized or hidden.
hyperframes-registry
heygen-com/hyperframes
About 450 ready-made HyperFrames blocks and components installed as editable source - transitions, overlays, titles, kinetic type, captions, charts, map overlays, 3D, camera moves. Use it before hand-building any named visual (CRT scanlines, glitch, film grain, a chart); also for hyperframes add and catalog.
hyperframes-creative
heygen-com/hyperframes
Non-animation creative direction for HyperFrames videos. Use for design spec (frame.md / design.md) handling, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns, and brand / style decisions. For atomic motion patterns and scene blueprints, use hyperframes-animation.
ai-video-generation
101-skills/superpowers
Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, reference-to-video, video editing, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text to video, image to video, veo, animate image, video from image, ai animation, video generator, generate video, t2v, i2v, ai video maker, create video with ai, runway alternative, pika alternative, sora alternative, kling alternative, seedance, happyhorse
ai-image-generation
101-skills/superpowers
Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image, gpt image, openai image, chatgpt image