القائمة
Analyze CSV files in /mnt/data and return concise numeric summaries.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Create the required PR-ready summary block, branch suggestion, title, and draft description for openai-agents-python. Use before the final response whenever the current task changed runtime code, tests, examples, build/test configuration, or docs with behavior impact, regardless of perceived change size and including local-only or uncommitted work. Skip only for trivial or conversation-only tasks, repo-meta/doc-only tasks without behavior impact, or when the user explicitly says not to include the PR draft block.
Decide how to implement runtime and API changes in openai-agents-python before editing code. Use when a task changes exported APIs, runtime behavior, serialized state, tests, or docs and you need to choose the compatibility boundary, whether shims or migrations are warranted, and when unreleased interfaces can be rewritten directly.
Run python examples in auto mode with logging, rerun helpers, and background control.
Fix the tiny credit-note formatting bug and rerun the exact targeted test command.
Build a concise prior authorization packet from local case files and payer policy docs.
Use when the task requires capturing or automating a real browser from the terminal.
| name | csv-workbench |
| description | Analyze CSV files in /mnt/data and return concise numeric summaries. |
Use this skill when the user asks for quick analysis of tabular data.
head, python csv.DictReader, or both).