prompt-sensei

Name: prompt-sensei
Availability: InStock
Author: chengzhongwei

Analyze prompts for Claude Code and Codex with stage-aware coaching and rewrite suggestions.

112|12|Updated Apr 25, 2026

Search Tags:#hooks #codex #claude-code #privacy #lookback #prompt-sensei #prompt-coaching

Ready to run

npx skills add https://github.com/chengzhongwei/Prompt-sensei --skill prompt-sensei

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: prompt-sensei
Source: https://github.com/chengzhongwei/Prompt-sensei/tree/main
Command: npx skills add https://github.com/chengzhongwei/Prompt-sensei --skill prompt-sensei

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Prompt Sensei provides stage-aware coaching for engineers prompting AI coding agents like Claude Code and Codex, helping you craft clearer prompts, rewrite rough prompts into stronger ones, and look back on local history with privacy-preserving lookback reports.

Core Features & Use Cases

Stage-aware coaching and real-time feedback
Prompt rewriting to improve clarity and safety
Lookback analysis over local prompt history with privacy considerations
Local, shareable coaching reports for team review
Hook-based auto-start and lifecycle integration with host tools

Quick Start

Install in Claude Code or Codex environments, then start live coaching with /prompt-sensei observe.

Frequently Asked Questions about prompt-sensei

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I get real-time prompt coaching for Claude Code?▼

You can rewrite and improve AI coding prompts by using the structured command surface to request rewrite suggestions. Prompt Sensei analyzes your inputs and provides stage-aware coaching to refine rough prompts into clearer, safer instructions for Claude Code and Codex.

Does prompt coaching work with both Claude Code and Codex environments?▼

Prompt coaching supports both Claude Code and Codex environments through host-integrated hooks and auto-start capabilities. It provides stage-aware feedback and rewrite suggestions tailored to the specific coding agent you are actively using.

How do I analyze local prompt history without compromising data privacy?▼

You can review local prompt history privately by generating lookback reports that store compact coaching data locally. The skill enforces consent scopes and saves analysis results without sending your raw prompts to any external servers.

What is stage-aware coaching for AI coding agents?▼

Stage-aware coaching analyzes your prompts relative to the current development stage and provides real-time feedback to improve clarity. It offers targeted rewrite suggestions to transform rough instructions into stronger prompts for Claude Code and Codex.

Can I share prompt coaching reports with my team for review?▼

You can generate local, shareable coaching reports from your lookback analysis to facilitate team review. These reports are derived from compact coaching data stored locally, allowing collaborative evaluation without exposing raw prompt history.

Why should I configure auto-start hooks for prompt analysis?▼

Configuring auto-start hooks enables seamless lifecycle integration with your host tools, automatically initiating prompt analysis without manual commands. This ensures you receive consistent, stage-aware coaching feedback throughout your entire coding session.