context-management

What problem does it solve?

This Skill solves the challenge of managing complex, multi-turn AI conversations and multi-agent collaborations. It prevents AI models from "forgetting" past instructions, ensures consistent behavior across sessions, and facilitates seamless handovers between agents or human collaborators, reducing rework and misinterpretations.

Core Features & Use Cases

• Persistent Memory: Externalizes instructions and project state into version-controlled files (AGENTS.md, SESSION_NOTES.md), providing a stable, shared "memory" for AI agents.
• Instruction Conflict Detection: Automatically identifies and flags conflicts between new and existing instructions, prompting for user resolution to maintain consistent operational guidelines.
• Structured Handovers: Ensures high-quality transitions between AI agents or human teams by maintaining clear project context, decisions, and next steps, minimizing onboarding time and errors.
• Use Case: Deploy this Skill in a long-running software development project where multiple AI agents contribute to different tasks (e.g., coding, testing, documentation), ensuring they all adhere to the same architectural principles and project goals without constant re-briefing.

Quick Start

Help me manage the context for my new project. Create an AGENTS.md and SESSION_NOTES.md based on the templates, and then summarize the core instructions for me.