菜单
Prepare a project for journal submission. Use when Codex needs to run the final pre-submission gate, combine review and replication checks, assemble submission-facing materials, or identify blockers that must be resolved before sending the paper out.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | submit |
| description | Prepare a project for journal submission. Use when Codex needs to run the final pre-submission gate, combine review and replication checks, assemble submission-facing materials, or identify blockers that must be resolved before sending the paper out. |
references/submission-gate.md for the final gate checklist.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.