Organize project context into `.agent`, `memory-bank`, and `AGENTS.md` files.
npx skills add https://github.com/abner-magal/mcp-video-audio --skill context-abner-magal
Please help me install this Agent Skill. Skill: context Source: https://github.com/abner-magal/mcp-video-audio/tree/main/.opencode/skills/context Command: npx skills add https://github.com/abner-magal/mcp-video-audio --skill context-abner-magal
This Skill addresses the challenge of AI agents losing context, wasting tokens, and performing inefficiently due to unmanageable project information. It provides a structured, token-efficient way for AI agents to access and utilize project knowledge.
.agent (external memory), memory-bank (persistent state), and AGENTS.md (machine instructions)..agent/README.md to understand the project's architecture and available documentation, then load only the necessary files, leading to faster and more accurate task completion.Use the context skill to initialize the project context system for a new project.
High-intent search queries and answers about installing and using this skill.
AI context management uses a unified framework integrating structured external memory (`.agent`), persistent cross-session documentation (`memory-bank`), and standardized machine-readable instructions (`AGENTS.md`) to organize project knowledge and prevent information loss.
Progressive disclosure optimizes token usage by structuring project documentation so AI agents read a README first to understand architecture, then load only necessary files, preventing the token waste caused by processing unmanageable project information at once.
The best way to maintain persistent state is using a memory-bank documentation system, which stores cross-session project context and enables AI agents to resume tasks efficiently without losing prior architectural knowledge or progress.
Yes, implementing a unified AI context system requires adherence to specific folder structures and standardized file formats like `.agent` for external memory and `AGENTS.md` for machine instructions to manage project context effectively.
To initialize a project context system, use the context skill to generate the required folder structures and documentation files, establishing a unified framework that organizes project knowledge for standardized AI agent access.
Use standardized machine-readable instructions like `AGENTS.md` when providing AI agents with consistent project guidelines, ensuring structured documentation and token-efficient access to external memory across multiple tasks.
Fr-e-dAnalyze project directory structures to generate architectural summaries.
cuipengfeiMaintain persistent project context across sessions using structured .memory-bank files.
willdadyQuery official documentation and source code to generate cited Markdown research reports.
devMoezUpsert vectors and query a managed Pinecone index for semantic retrieval.