context-save

Save decisions, strategic bets, and learnings to a persistent context registry.

4|3|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/yohayetsion/product-org-os --skill context-save-yohayetsion
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: context-save
Source: https://github.com/yohayetsion/product-org-os/tree/main/product-org-plugin/skills/context-save
Command: npx skills add https://github.com/yohayetsion/product-org-os --skill context-save-yohayetsion

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill acts as the organizational memory, ensuring that critical decisions, strategic bets, and valuable learnings are systematically recorded and made accessible for future reference.

Core Features & Use Cases

  • Context Registry: Saves key information from decisions, bets, and learnings into structured index files.
  • Automated Indexing: Updates context/index.json and specific index files (e.g., decisions/index.md) for efficient retrieval.
  • Cross-Referencing: Automatically links related entries within the context layer.
  • Use Case: After making a significant product decision, use this skill to log it, along with its rationale and assumptions, ensuring it's easily discoverable by anyone in the organization later.

Quick Start

Use the context-save skill to save the decision record that was just created.

Frequently Asked Questions about context-save

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

FAQPage Schema
How do I save organizational memory and decision records for future reference?

To save organizational memory, you record decisions, strategic bets, and learnings into a persistent context registry. This updates structured index files and JSON layers, generating IDs and cross-referencing entries for future retrieval.

What is the best way to log strategic bets and assumptions with automated indexing?

Logging strategic bets and assumptions requires saving them to a persistent context registry. The system automatically updates context/index.json and specific index files like decisions/index.md to ensure efficient retrieval and cross-referencing.

How does cross-referencing work for decision records and learnings in a context registry?

Cross-referencing for decision records and learnings works by automatically linking related entries within the context layer. This manages structured data extraction and ID generation across decisions, strategic bets, assumptions, and learnings.

Can I use context-save for organizational memory without specific file structures?

No, effective organizational memory management requires adherence to specific file structures and ID formats. The system depends on these structured formats to properly extract data and update context index files.

When do I need to persist decisions into a structured index file?

You need to persist decisions into a structured index file after making a significant product decision. This logs the decision record, rationale, and assumptions, ensuring the context is easily discoverable by anyone later.

Why does context management require structured data extraction and ID generation?

Context management requires structured data extraction and ID generation to systematically record critical decisions and learnings. This ensures entries are properly formatted and cross-referenced across the context layer for accessible organizational memory.