How do I install the Build With Openai skill?

Run npx skillmds@latest add hiteshbandhu/build-with-openai in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Build With Openai safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Build With Openai?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Build With Openai free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Build With Openai?

hiteshbandhu (@hiteshbandhu) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Build With Openai by hiteshbandhu — Agent Skill

Name: Build With Openai
Author: hiteshbandhu

Build With Openai

Runs OpenAI API workflows for agents, function calling, voice/Realtime, fine-tuning (SFT/DPO/RFT), sandboxes, Codex coding agents, and multimodal products. Use when building with OpenAI Agents SDK, Realtime API, tool loops, enterprise agent rollout, microVM sandboxes, or GPT-4o vision/voice.

hiteshbandhu Updated Sep 17, 2026

File contents

Build with OpenAI

Action playbook from twelve OpenAI @ AI Engineer talks. Do not summarize talks — pick a workflow theme and execute it.

Supporting files:

workflows.md — voice, fine-tuning, function-calling, sandboxes, coding-agents, multimodal, agents-enterprise
source-index.md

Optional deliverables: ./skill-outputs/build-with-openai/

Step 0 — Pick workflow theme

What is the user trying to do?
├─ Tool loops, schemas, parallel calls, RAG-as-tools     → function-calling
├─ SFT / DPO / RFT, graders, shrink prompts             → fine-tuning
├─ Realtime, speech-to-speech, WebRTC vs WebSocket      → voice
├─ Isolate agent code exec, microVMs, RL rewards        → sandboxes
├─ Codex harness, Agents SDK, PR/terminal agents        → coding-agents
├─ Vision, image gen, video frames, GPT-4o modalities   → multimodal
└─ Enterprise pilot, guardrails, co-create UX           → agents-enterprise

Open the matching section in workflows.md.

Install

cp -r skills/build-with-openai ~/.claude/skills/
cp -r skills/build-with-openai ~/.cursor/skills/
cp -r skills/build-with-openai ~/.codex/skills/
cp -r skills/build-with-openai ~/.agents/skills/

Source: ingest-into-skills playlists/openai-ai-engineer/.

Cross-cutting rules

Rule	Source
Agents = model + instructions + tools + runtime loop	[src-007 @ 0:01]
Default 10–20 tools per turn; route if more	[src-004 @ 1:16]
Eval tool execution, not just completions	[src-004 @ 1:21]
Single agent in prod first; guardrails on edges	[src-002 @ 12:13]
Speech-to-speech beats STT→LLM→TTS for latency	[src-008 @ 0:04]

Output to user

Name theme + deliverables
Save artifacts under ./skill-outputs/build-with-openai/ when requested
Do not auto-commit

Invocation examples

@build-with-openai design Realtime voice agent with tool delegation
RFT graders for our support bot tool routing
should we use WebRTC or WebSocket for this voice app?

---name: build-with-openaidescription: Runs OpenAI API workflows for agents, function calling, voice/Realtime, fine-tuning (SFT/DPO/RFT), sandboxes, Codex coding agents, and multimodal products. Use when building with OpenAI Agents SDK, Realtime API, tool loops, enterprise agent rollout, microVM sandboxes, or GPT-4o vision/voice.---# Build with OpenAIAction playbook from twelve OpenAI @ AI Engineer talks. **Do not summarize talks** — pick a workflow theme and execute it.**Supporting files:**- [workflows.md](workflows.md) — voice, fine-tuning, function-calling, sandboxes, coding-agents, multimodal, agents-enterprise- [source-index.md](source-index.md)Optional deliverables: `./skill-outputs/build-with-openai/`---## Step 0 — Pick workflow theme```What is the user trying to do?├─ Tool loops, schemas, parallel calls, RAG-as-tools → function-calling├─ SFT / DPO / RFT, graders, shrink prompts → fine-tuning├─ Realtime, speech-to-speech, WebRTC vs WebSocket → voice├─ Isolate agent code exec, microVMs, RL rewards → sandboxes├─ Codex harness, Agents SDK, PR/terminal agents → coding-agents├─ Vision, image gen, video frames, GPT-4o modalities → multimodal└─ Enterprise pilot, guardrails, co-create UX → agents-enterprise```Open the matching section in [workflows.md](workflows.md).---## Install```bashcp -r skills/build-with-openai ~/.claude/skills/cp -r skills/build-with-openai ~/.cursor/skills/cp -r skills/build-with-openai ~/.codex/skills/cp -r skills/build-with-openai ~/.agents/skills/```Source: [ingest-into-skills](https://github.com/hiteshbandhu/ingest-into-skills) `playlists/openai-ai-engineer/`.---## Cross-cutting rules| Rule | Source ||------|--------|| Agents = model + instructions + tools + runtime loop | [src-007 @ 0:01] || Default 10–20 tools per turn; route if more | [src-004 @ 1:16] || Eval tool execution, not just completions | [src-004 @ 1:21] || Single agent in prod first; guardrails on edges | [src-002 @ 12:13] || Speech-to-speech beats STT→LLM→TTS for latency | [src-008 @ 0:04] |---## Output to user1. Name theme + deliverables2. Save artifacts under `./skill-outputs/build-with-openai/` when requested3. Do not auto-commit---## Invocation examples```@build-with-openai design Realtime voice agent with tool delegationRFT graders for our support bot tool routingshould we use WebRTC or WebSocket for this voice app?```

Frequently asked questions