Build with openai
Skill hiteshbandhu/skills-i-use/skills/ai-engineer-talks/build-with-openai
Drop-in skills and plugins for your AI development workflows
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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.
SKILL.md
2.5 KB, as published. Nobody here has run it
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?