harvest

Extract experience bank entries and memory signals from session content.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/namankumar/product-os --skill harvest-namankumar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: harvest
Source: https://github.com/namankumar/product-os/tree/main/.claude/skills/harvest
Command: npx skills add https://github.com/namankumar/product-os --skill harvest-namankumar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extract and preserve valuable learnings from every session, turning conversations into durable, post-worthy knowledge about {{YOUR_NAME}} and how they work with AI.

Core Features & Use Cases

  • Capture experience bank entries from PRDs, metrics, meeting notes, strategy, feedback, and social sessions.
  • Write memory signals about who {{YOUR_NAME}} is, how they work, and what they need from AI, directly to memory.
  • Surface concrete system improvements: output quality, skill design, agent architecture, context layer, and workflow for future iterations.

Quick Start

Run the Harvest skill after any session to extract and store post-worthy content and memory updates.

Frequently Asked Questions about harvest

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

FAQPage Schema
How do I extract learnings from session notes to build an AI memory?

To build an AI memory, run the Harvest skill after any session to extract experience bank entries and immediate memory signals from your notes, turning conversations into durable knowledge about how you work.

What is the best way to surface post-worthy content from strategy and feedback sessions?

The best way to surface post-worthy content is to analyze your sessions using a memory-writing tool that identifies actionable insights, system improvements, and learnings, then writes them directly to memory.

Can I capture memory signals from meeting notes and PRD sessions automatically?

Yes, you can capture memory signals automatically by running session analysis after PRD, metrics, and meeting notes to extract who you are, how you work, and what you need from AI into an experience bank.

How to create an experience bank from past AI conversations?

Create an experience bank by processing past conversations through a session-analysis skill that extracts concrete system improvements, workflow insights, and post-worthy content to seed your durable memory.

Does session analysis work for extracting workflow improvements from social sessions?

Yes, session analysis works for social sessions by extracting post-worthy content and memory signals, identifying actionable insights about your workflow, and writing them directly to memory for future iterations.

When should I run memory extraction to preserve session learnings?

Run memory extraction immediately after completing PRDs, metrics, meeting notes, strategy, feedback, or social sessions to ensure valuable learnings and experience bank entries are captured before context is lost.