skills.rest
Nhqvu2005
Nhqvu2005COMMUNITY
Explore all skills by this author →
GitHub

brain-manager

Store and retrieve architecture decisions and project context in JSON and JSONL formats.

54|21|Updated Feb 12, 2026
Search Tags:#project management#architecture#context management#ai agents#knowledge base#decision records
One-click install
npx skills add https://github.com/Nhqvu2005/VibeGravityKit --skill brain-manager
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: brain-manager
Source: https://github.com/Nhqvu2005/VibeGravityKit/tree/main/VibeGravityKit/.agent/skills/brain-manager
Command: npx skills add https://github.com/Nhqvu2005/VibeGravityKit --skill brain-manager

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill centralizes and manages your project's persistent memory, including architecture decisions, technical conventions, and project context, ensuring consistency and providing essential background for AI agents.

Core Features & Use Cases

  • Record Decisions: Log architecture decisions with rationale.
  • View Context: Display current project settings, tech stack, and recent decisions.
  • Export/Import Brain: Save and load project memory for backup or migration.
  • Use Case: When onboarding a new AI agent to a project, use the show command to quickly provide it with the established tech stack, architectural patterns, and key decisions made so far.

Quick Start

Record a new architecture decision by running the command to add a decision about using PostgreSQL for relational data needs.

Frequently Asked Questions about brain-manager

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

FAQPage Schema
How do I manage project memory and architecture decisions for AI agents?▼

You can manage project memory by storing and retrieving architecture decisions, technical conventions, and project context to ensure consistency and provide essential background for AI agents. This centralizes persistent project history.

What is the best way to store coding conventions and project context for AI agents?▼

The best way to store coding conventions and project context is using structured JSON and JSONL formats within a dedicated directory. This ensures your tech stack and guidelines are easily accessible for AI agents to read.

How do I onboard a new AI agent to an existing project's tech stack and architecture?▼

To onboard a new AI agent, display your current project settings, tech stack, and recent architecture decisions using a dedicated show command. This quickly provides the established context and guidelines the agent needs.

Can I export and import project context and architecture decisions for backup?▼

Yes, you can export and import your project memory to save and load architecture decisions, technical conventions, and project context. This facilitates seamless backup or migration of your project brain across different environments.

Does the project context manager require specific dependencies to store decision records?▼

No specific dependencies are required to store decision records and project context. The system relies solely on scripts and utilizes native JSON and JSONL file formats for structured data storage within a local directory.

Related Skills

Explore More Software Engineering Skills→
syahrilTGRsyahrilTGR
3

graphify

Integrate a local knowledge graph into a project repository for code analysis.

Community
Advanced
MOODMNKY-LLCMOODMNKY-LLC

session-logs

Search and analyze historical JSONL session logs with ripgrep and jq.

Community
Intermediate
pertain99pertain99
1

session-logs

Query JSONL session logs with jq and ripgrep for context reconstruction.

Community
Intermediate
walekingwaleking

notion-md-sync

Batch upload local Markdown files to Notion via the Notion API.

Community
Intermediate