permit-pulse

Maintain a project onboarding reference covering architecture, tech stack, APIs, and file layout.

Updated Aug 27, 2026

Search Tags:#architecture #documentation #onboarding #llm #project-memory #knowledge-base #hackathon

Ready to run

npx skills add https://github.com/kvn8888/MultiModalAgentsHackathon --skill permit-pulse

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: permit-pulse
Source: https://github.com/kvn8888/MultiModalAgentsHackathon/tree/main/.cursor/skills/permit-pulse
Command: npx skills add https://github.com/kvn8888/MultiModalAgentsHackathon --skill permit-pulse

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The PermitPulse Skill serves as the living source of truth for this repository, providing a single, up-to-date onboarding reference that explains the project's architecture, tech stack, APIs, file layout, and current feature status. It ensures future sessions don't need to relearn the codebase from scratch.

Core Features & Use Cases

Centralized project overview covering architecture, tech stack, and APIs.
Continuous accuracy: update the skill whenever features are added, changed, or removed to keep sessions aligned.
Quick re-onboarding for new contributors or AI agents to accelerate integration and reduce time-to-productivity.

Quick Start

Read this skill at the start of every new session to understand the project, its architecture, tech stack, APIs, file layout, and current feature status.

Frequently Asked Questions about permit-pulse

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

FAQPage Schema

How do I maintain project memory for LLM sessions across new conversations?▼

Project memory for LLM sessions is maintained by updating a living onboarding reference that documents architecture, tech stack, APIs, file layout, and feature status, ensuring future sessions don't relearn the codebase from scratch.

What is a project onboarding knowledge base for codebase architecture?▼

A project onboarding knowledge base is a single, up-to-date reference covering architecture, tech stack, APIs, and file layout that provides continuous context to accelerate integration for new contributors and AI agents.

How do I update onboarding documentation when features change?▼

To update onboarding documentation when features change, apply changes to the project memory reference whenever features are added, modified, or removed to keep all sessions aligned with the current architecture and tech stack.

Can I use a project memory skill for hackathon onboarding and architecture context?▼

Yes, you can use a project memory skill for hackathon onboarding by reading it at the start of every new session to quickly understand the project architecture, tech stack, APIs, file layout, and current feature status.

What's the best way to ensure consistent context for AI agents across new sessions?▼

The best way to ensure consistent context for AI agents is to maintain a centralized project overview documenting architecture, tech stack, APIs, file layout, and current feature status, reducing time-to-productivity.

Why does my LLM forget codebase architecture and file layout in new sessions?▼

Your LLM forgets codebase architecture and file layout in new sessions because it lacks a persistent project memory; maintaining a living onboarding reference provides the necessary continuous context.