Stateful agentic conversations with preserved reasoning, server-side tools, and automatic state management.
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-responsesCompatible with
Supported agents
Preserves model reasoning across turns (+5% performance on TAUBench), eliminating manual history tracking and improving multi-turn interactions
Built-in server-side tools: Code Interpreter, File Search, Web Search, DALL-E, and MCP integration without backend round trips
Automatic conversation state management with 90-day expiration; 40-80% better cache utilization than Chat Com
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionopenai-responsesExecute the skills CLI command in your project's root directory to begin installation:
epx add jezweb/claude-skills --skill openai-responsesFetches openai-responses 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-responses
Restart Cursor to activate openai-responses. Access via /openai-responsesin 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.
google-apps-script
jezweb/claude-skills · Backend · same repo
cloudflare-r2
jezweb/claude-skills · Cloud · same repo
responsive-images
jezweb/claude-skills · Productivity · same repo
openai-docs
openai/skills · AI/ML · tag: openai
beautiful-mermaid
intellectronica/agent-skills · AI/ML · same category
domain-hunter
resciencelab/opc-skills · AI/ML · same category
I recommend openai-responses for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added openai-responses from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
openai-responses is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
openai-responses reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in openai-responses — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
openai-responses fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
openai-responses has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for openai-responses matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for openai-responses matched our evaluation — installs cleanly and behaves as described in the markdown.
openai-responses fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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