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Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
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
Use when you have a written implementation plan to execute
Spreadsheet toolkit. Reach for it whenever the artifact on either side of the conversation is a workbook file — .xlsx, .xlsm, .xltx, .csv, .tsv — and the user wants that artifact produced, changed, cleaned, or read. Typical triggers: 'build me a model', 'update this sheet', 'add a column', 'compute the totals as formulas', 'sanity-check this xlsx', 'export sheet 2 to CSV', 'render the workbook as PDF', 'the spreadsheet in ~/Downloads is a mess, fix it'. Applies equally to financial models, ops reports, data cleanups, and template fills. Skip it when the workbook is only source material and the real output is a Word doc, an HTML page, a Python script that runs standalone, a Google Sheets integration, or an ingestion pipeline into a database — in those cases the spreadsheet is a means, not the deliverable.
Perform a focused, evidence-based code review. Use when the user asks to review code, a diff, pull request, branch, commit, or implementation before merging.
Smart git commit message generator following Conventional Commits. Use when the user says 'commit', 'commit this', 'write a commit message', 'smart commit', or asks to create a git commit.
Use when the user asks what OpenZeroCode can do, how a feature works (memory, checkpoints, agents, subagents, tasks, compose, learn), how to configure it, where config/data lives, which config key controls a behavior, what CLI or slash commands exist, or how to enable/disable/tune something — the self-documenting reference for OpenZeroCode itself.
Use when executing implementation plans with independent tasks in the current session
| name | compose:debug |
| description | Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes |
Systematic debugging: reproduce → isolate → root cause → fix → verify.
First, reproduce the issue reliably:
Narrow down the problem:
Find the actual cause:
Write the minimal fix:
After fixing:
| Symptom | Check |
|---|---|
| Test fails | Is the test correct? Is the implementation correct? |
| Build fails | Check error messages, types, imports |
| Runtime error | Check stack trace, variable values |
| Performance issue | Profile, check algorithms, check I/O |
After fixing a bug, consider:
