Use Case
Stop doing repetitive product manager tasks manually. feedback-loop-fine-tuner lets your AI agent handle them automatically through natural conversation. Provides tools for implementing feedback loops to fine-tune LLM agents using user feedback for continuous personalization and improvement, including training... This guide shows practical examples of using feedback-loop-fine-tuner to automate common product manager workflows and save hours every week.
Install feedback-loop-fine-tuner: npx clawhub@latest --dir ~/.claude/skills install jpeng-feedback-loop-fine-tuner
Identify the repetitive product manager tasks you want to automate
Describe the task to your AI in plain English
feedback-loop-fine-tuner will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing feedback-loop-fine-tuner
Automate my product manager tasks using feedback-loop-fine-tuner
What repetitive tasks can feedback-loop-fine-tuner handle for me?
Set up a workflow that runs feedback-loop-fine-tuner every morning
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.