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).
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
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add daymade/claude-code-skills --skill llm-icon-finderCompatible with
Supported agents
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:
epx add daymade/claude-code-skills --skill llm-icon-finderFetches 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:
.cursor/skills/llm-icon-finder
Restart Cursor to activate llm-icon-finder. Access via /llm-icon-finderin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
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.
llm-council
am-will/codex-skills · AI/ML · tag: llm
skill-finder
aktsmm/agent-skills · Productivity · tag: finder
ml-paper-writing
davila7/claude-code-templates · AI/ML · same category
beautiful-mermaid
intellectronica/agent-skills · AI/ML · same category
openai-docs
openai/skills · AI/ML · same category
dokie-ai-ppt
myzy-ai/dokie-ai-ppt · AI/ML · same category
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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