Use Case
feedback-loop-fine-tuner isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Provides tools for implementing feedback loops to fine-tune LLM agents using user feedback for continuous personalization and improvement, including training... This guide covers how to deploy feedback-loop-fine-tuner for your team, standardize prompts, and create shared workflows that everyone can use.
Install feedback-loop-fine-tuner in your project directory: .claude/skills/jpeng-feedback-loop-fine-tuner/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use feedback-loop-fine-tuner in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing feedback-loop-fine-tuner
How can my team use feedback-loop-fine-tuner together?
Set up feedback-loop-fine-tuner for our project so everyone can use it
Create a shared workflow using feedback-loop-fine-tuner for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install jpeng-feedback-loop-fine-tunerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install jpeng-feedback-loop-fine-tunerβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/jpeng-feedback-loop-fine-tuner/π‘Extract and place the folder at the path above, then restart your agent.