Build stateful chatbots with OpenAI Assistants API v2, including Code Interpreter, File Search (10k files), and Function Calling.
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 jezweb/claude-skills --skill openai-assistantsCompatible with
Supported agents
Three core tools: Code Interpreter for Python execution and file processing, File Search for semantic RAG with vector stores (10,000 files max), and Function Calling for custom tool integration
Manages four main objects—Assistants (configured AI with instructions), Threads (persistent conversation containers), Messages (with file attachments), and Runs (async
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionopenai-assistantsExecute the skills CLI command in your project's root directory to begin installation:
epx add jezweb/claude-skills --skill openai-assistantsFetches openai-assistants from jezweb/claude-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/openai-assistants
Restart Cursor to activate openai-assistants. Access via /openai-assistantsin 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.
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openai-assistants reduced setup friction for our internal harness; good balance of opinion and flexibility.
openai-assistants is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: openai-assistants is focused, and the summary matches what you get after install.
We added openai-assistants from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: openai-assistants is focused, and the summary matches what you get after install.
I recommend openai-assistants for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added openai-assistants from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
openai-assistants fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
openai-assistants has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in openai-assistants — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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