Access AI/LLM model brand icons and logos from the lobe-icons library. The library contains 100+ icons for models (Claude, GPT, Gemini), providers (OpenAI, Anthropic, Google), and applications (ComfyUI, LobeChat).
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionllm-icon-finderExecute the skills CLI command in your project's root directory to begin installation:
Fetches llm-icon-finder from daymade/claude-code-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate llm-icon-finder. Access via /llm-icon-finder in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Access AI/LLM model brand icons and logos from the lobe-icons library. The library contains 100+ icons for models (Claude, GPT, Gemini), providers (OpenAI, Anthropic, Google), and applications (ComfyUI, LobeChat).
Available formats: SVG (scalable), PNG (raster), WEBP (compressed) Theme variants: light, dark, and color (some icons)
Construct URLs using these patterns:
# SVG
https://raw.githubusercontent.com/lobehub/lobe-icons/refs/heads/master/packages/static-svg/{light|dark}/{icon-name}.svg
# PNG
https://raw.githubusercontent.com/lobehub/lobe-icons/refs/heads/master/packages/static-png/{light|dark}/{icon-name}.png
# WEBP
https://raw.githubusercontent.com/lobehub/lobe-icons/refs/heads/master/packages/static-webp/{light|dark}/{icon-name}.webp
# Color variant (append -color to icon-name)
https://raw.githubusercontent.com/lobehub/lobe-icons/refs/heads/master/packages/static-png/dark/{icon-name}-color.png
Icon naming convention: Lowercase, hyphenated (e.g., claude, chatglm, openai, huggingface)
When users request icons:
https://lobehub.com/icons/{icon-name}Common icons: See references/icons-list.md for comprehensive list organized by category (Models, Providers, Applications, Chinese AI)
Uncertain names:
alibaba vs alibabacloud)-color variants if standard URL failsChinese AI models: Support Chinese queries (e.g., "智谱" → chatglm, "月之暗面" → moonshot)
Single icon request:
User: "Claude icon"
→ Provide: https://raw.githubusercontent.com/lobehub/lobe-icons/refs/heads/master/packages/static-png/dark/claude.png
→ Also mention color variant and web viewer link
Multiple icons download:
curl -o openai.svg "https://raw.githubusercontent.com/lobehub/lobe-icons/.../dark/openai.svg"
curl -o anthropic.svg "https://raw.githubusercontent.com/lobehub/lobe-icons/.../dark/anthropic.svg"
Chinese query:
User: "找一下智谱的图标"
→ Identify: 智谱 = ChatGLM → icon name: chatglm
→ Provide URLs and mention related icons (zhipu, codegeex)
If URL returns 404:
-color suffix variantchatgpt vs gpt, google vs gemini)references/icons-list.md - Comprehensive list of 100+ available icons by categoryreferences/developer-info.md - npm installation and React usage examplesPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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aktsmm/agent-skills
jeremylongshore/claude-code-plugins-plus-skills
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intellectronica/agent-skills
llm-icon-finder reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in llm-icon-finder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
llm-icon-finder is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
llm-icon-finder has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: llm-icon-finder is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in llm-icon-finder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend llm-icon-finder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for llm-icon-finder matched our evaluation — installs cleanly and behaves as described in the markdown.
llm-icon-finder reduced setup friction for our internal harness; good balance of opinion and flexibility.
llm-icon-finder fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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