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Large Language ModelsAI Coding AssistantsZenn AI/MLPublished: Oct 17, 2026, 22:00 JST

Claude Code as a workshop: CLAUDE.md, scheduled `claude -p`, hooks and skills

Claude Code as a workshop: CLAUDE.md, scheduled `claude -p`, hooks and skills

3 Key Points

  1. What happened

    A Zenn write-up lays out a Windows 11 setup where CLAUDE.md maps the working folder and the AI appends each new file itself, while `claude -p` runs once on a schedule via Task Scheduler.

  2. Why it matters

    The arrangement shows how a solo practitioner can give Claude Code standing context and a fixed, time-triggered job, so a new conversation does not have to re-explain the workspace.

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Context & Analysis

The write-up is less a product announcement than a field report on making Claude Code behave like a stable workspace. The central move is to keep the AI out of the deterministic parts: the author's scheduled job collects data with Python, then wakes the AI once to read that data, and the AI is allowed to write only into the record notebook. Tools are narrowed from the start, so the unattended run cannot post, send or log in. That preference for narrowing what the AI can do, rather than trusting it to behave, recurs in the hooks and skills sections: hooks run outside the model's memory, and skills attach a name to a procedure so it can be recalled by description rather than by exact command. The closing section acknowledges the limits—visual design remained hard to delegate, and a filename collision caused overwrites on same-day runs—which keeps the piece in the register of a working log rather than a polished guide.

FAQ
How is the scheduled `claude -p` job triggered?
The author calls `claude -p` from Windows Task Scheduler, launching it through pythonw.exe so no window appears, and passes the prompt via standard input.
What do the hooks do in this setup?
The author uses a hook that fires once per conversation when context usage reaches 30% of the limit, to signal a good point to wrap up.
What did not work well?
Design work could not be fully delegated—icons were sent back twice—and running the same job twice in one day overwrote data because output filenames were based only on the date.

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