context-check

Extract and persist reusable insights, edits, and tasks from conversations.

2|1|Updated Apr 10, 2023
One-click install
npx skills add https://github.com/popoffvg/dotfiles --skill context-check-popoffvg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: context-check
Source: https://github.com/popoffvg/dotfiles/tree/main/harness/plugins/memory-keeper/claude/skills/context-check
Command: npx skills add https://github.com/popoffvg/dotfiles --skill context-check-popoffvg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze and persist valuable knowledge from conversations to improve memory and future interactions. It captures concrete insights, AI behavior changes, and unstarted tasks, storing them for later recall.

Core Features & Use Cases

  • Extract and categorize reusable insights from the current conversation (insights, agent edits, tasks, or none) for long-term memory.
  • Provide structured entries that identify topics with clear leads and headings for easy recall.
  • Integrate with the memory persistence workflow to save entries automatically without extra prompts.

Quick Start

Instruct the agent to run context check to save relevant notes from this session.

Frequently Asked Questions about context-check

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

FAQPage Schema
How do I save conversation insights for future AI recall?

Save conversation insights by instructing the agent to run a context check, which identifies and persists reusable knowledge into long-term memory using a structured workflow with topic, body, classification, and repo context.

How does memory persistence work for ongoing AI chats?

Memory persistence works by automatically extracting concrete insights and agent behavior changes from ongoing chats, categorizing them with a topic and classification, and saving them automatically without requiring extra prompts.

What is the best way to capture unstarted tasks from an AI session?

Capture unstarted tasks by running a context check at the end of an AI session to identify and extract actionable items, agent edits, and insights, saving them as structured memory entries for later recall.

Can I automatically extract knowledge from conversation history without manual prompts?

Automatically extract knowledge from conversation history by integrating the context check memory persistence workflow, which saves categorized entries directly from the current chat without needing extra manual prompts.

When should I use a context check for knowledge management?

Use a context check for knowledge management during review sessions or ongoing chats where valuable insights, agent edits, and tasks should be captured and recalled for future interactions.