This skill covers using OpenAI's embedding API with GrepAI for high-quality, cloud-based embeddings.
Run in your terminal
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongrepai-embeddings-openaiExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-embeddings-openaiFetches grepai-embeddings-openai from yoanbernabeu/grepai-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 grepai-embeddings-openai. Access via /grepai-embeddings-openaiin 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
Package manager
npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-embeddings-openaiWorks with
0
total installs
0
this week
16
GitHub stars
0
upvotes
Prerequisites
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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We added grepai-embeddings-openai from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added grepai-embeddings-openai from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
grepai-embeddings-openai has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: grepai-embeddings-openai is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in grepai-embeddings-openai — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in grepai-embeddings-openai — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
grepai-embeddings-openai reduced setup friction for our internal harness; good balance of opinion and flexibility.
grepai-embeddings-openai reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: grepai-embeddings-openai is focused, and the summary matches what you get after install.
grepai-embeddings-openai is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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