Prompt Sensei

Prompt Sensei

Prompting is becoming one of the most important engineering skills in the AI era. Prompt Sensei helps you improve your prompts while teaching you how to improve.

[中文说明](README-zh.md)

[Quickstart](#5-minute-quickstart) · [FAQ](docs/faq.md) · [Privacy](docs/privacy.md) · [Examples](examples/prompt-gallery.md) · [Advanced setup](docs/advanced-setup.md) · [Discussions](https://github.com/chengzhongwei/Prompt-sensei/discussions)

Prompt Sensei is a quiet, local-first prompt coach for Claude Code and Codex. It gives stage-aware feedback, rewrites rough prompts into better ones, looks back on local history when you ask, and helps you practice one habit at a time.

It is built as a real host-integrated skill, not just a markdown rubric: Prompt Sensei supports hook-based observe comments, opt-in auto-observe hooks, hash-only prompt captures, quiet Stop-hook persistence, and compact-safe continuity where the host exposes the lifecycle events.

No cloud. No telemetry. No leaderboard. No raw prompt archive.

Prompt Sensei's score is a coaching signal, not an objective grade or a guarantee of better output. The real test is whether the improved prompt produces a more useful first draft, fewer clarification turns, safer agent behavior, and easier verification.

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Why This Exists

AI coding agents do real work: they edit files, run commands, and make implementation choices. A vague prompt does not just produce a vague answer; it can produce broad edits, hidden assumptions, and extra revision loops.

Prompt Sensei is built around a simple belief:

• Prompting is an engineering skill.
• Engineering skills improve through feedback.
• Feedback should be kind, specific, private, and useful.

It does not treat `fix this test` as a bad prompt. It treats