LLMs-Universal-Life-Science-and-Clinical-Skills- OpenAI_Platform_Operations_2026

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T=$(mktemp -d) && git clone --depth=1 https://github.com/mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills- "$T" && mkdir -p ~/.claude/skills && cp -r "$T/Skills/AI_Providers/OpenAI_Platform_Operations_2026" ~/.claude/skills/mdbabumiamssm-llms-universal-life-science-and-clinical-skills-openai-platform-op && rm -rf "$T"
manifest: Skills/AI_Providers/OpenAI_Platform_Operations_2026/SKILL.md
source content
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name: openai-platform-operations-2026 description: Operate and integrate OpenAI APIs with current model, modality, and migration workflows. Use when building or updating OpenAI-based chat, reasoning, transcription, speech, image, or video pipelines, and when replacing deprecated models. measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:

  • read_file
  • run_shell_command

OpenAI Platform Operations (2026)

Workflow

  1. Read
    references/sources.md
    and verify the current model and endpoint status before coding.
  2. Select API path by workload: text/reasoning, audio, image, or video.
  3. Prefer official SDK examples, then adapt for local constraints.
  4. Add explicit migration notes when replacing old or deprecated models.
  5. Validate with a minimal end-to-end request before broader refactors.

Output Requirements

  • Return selected model and endpoint choice with a one-line rationale.
  • Include rate-limit, timeout, and retry assumptions.
  • Include a short migration note if any model replacement was made.
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