plan-memory-vector-intelligence

Integrate persistent memory and vector intelligence for comprehensive planning.

Updated Jun 2, 2026
One-click install
npx skills add https://github.com/FlexNetOS/envctl --skill plan-memory-vector-intelligence
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: plan-memory-vector-intelligence
Source: https://github.com/FlexNetOS/envctl/tree/main/.agents/skills/plan-memory-vector-intelligence
Command: npx skills add https://github.com/FlexNetOS/envctl --skill plan-memory-vector-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for persistent memory and vector intelligence to facilitate comprehensive planning and information recall for planning engineers.

Core Features & Use Cases

  • Persistent Memory Management: Ensures plans and critical information are not lost during context loss, with robust recall and store mechanisms.
  • Vector Intelligence Mapping: Provides a detailed map of vector intelligence indexes, ensuring freshness and owner responsibility.
  • Recall Guarantees: Ensures no plan depends solely on conversation memory, with guarantees for session start recall and background-agent functionality.
  • Upgrade Management: Handles upgrades with clear evidence, acceptance, risk assessment, and reversibility.
  • Gate Handoff: Ensures all necessary artifacts and tests are in place for successful memory-vector surface integration.

Quick Start

Run the skill with the command: envctl run plan-memory-vector-intelligence

Frequently Asked Questions about plan-memory-vector-intelligence

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

FAQPage Schema
How do I maintain persistent memory for planning across different sessions?

Persistent memory for cross-session planning is maintained through ICM recall and store mechanisms that survive context loss. This guarantees plans remain accessible across sessions without relying solely on conversation history.

What is vector intelligence mapping and how does it support information recall?

Vector intelligence mapping indexes vector and RAG data sources to support information recall. It tracks index freshness and owner responsibility, ensuring planning engineers retrieve accurate and up-to-date context.

How do I integrate vector indexes with GitKB graph snapshots for comprehensive planning?

You integrate vector indexes and GitKB graph snapshots by executing a dedicated memory-vector surface command. This enables comprehensive planning backed by robust error handling and safety validation.

Does comprehensive planning require background-agent functionality for session start recall?

Yes, comprehensive planning requires background-agent functionality to enforce session start recall guarantees. This ensures no plan depends solely on conversation memory and critical context is immediately available.

What are the limitations of relying on conversation memory for persistent planning?

Relying on conversation memory limits persistent planning because context loss causes plans and critical information to disappear. Without vector intelligence and recall guarantees, background-agents cannot restore necessary planning context.

How do I handle upgrade management with risk assessment and reversibility for planning memory?

Upgrade management for planning memory is handled by executing processes with clear evidence, acceptance criteria, risk assessment, and reversibility. This ensures safe transitions while maintaining persistent memory and vector intelligence integrity.