メニュー
Elicit and sharpen a research idea through guided questioning. Use when Codex needs to interview the user about a topic, uncover the real question and constraints, or turn a vague project idea into a tractable next-step memo or workflow choice.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | interview-me |
| description | Elicit and sharpen a research idea through guided questioning. Use when Codex needs to interview the user about a topic, uncover the real question and constraints, or turn a vague project idea into a tractable next-step memo or workflow choice. |
references/interview-patterns.md for question categories.Fetch structured data from external APIs for research workflows. Use when Codex needs to query a documented API, save raw responses reproducibly, transform them into project-ready tables, or document authentication and rate-limit constraints for later reruns.
Compile LaTeX papers or slide decks reproducibly. Use when Codex needs to build a paper or Beamer deck, summarize warnings, rerun bibliography steps, or verify that a manuscript target compiles cleanly before review or submission.
Summarize current session state and preserved project context. Use when Codex needs to report what files and plans capture the current state, identify what will survive a long session boundary, or point the user to the latest durable artifacts on disk.
Prepare data and code materials for deposit or archival handoff. Use when Codex needs to check repository contents against deposit requirements, organize metadata, verify provenance notes, or prepare deposit-facing documentation without changing the scientific content.
Deploy or publish project artifacts safely. Use when Codex needs to prepare a site, service, documentation artifact, or generated output for release, confirm prerequisites, and outline the reproducible deployment steps without skipping verification.
Implement or review econometrics workflows in Julia. Use when Codex needs to write Julia estimation code, check design-to-code alignment, structure reproducible Julia scripts, or adapt an empirical workflow into Julia while preserving the project's numbered analysis conventions.