What problem does it solve?
AI systems often struggle with maintaining long-term context, leading to repetitive explanations, inefficient workflows, and a lack of cumulative knowledge. This skill defines patterns for persistent memory management.
Core Features & Use Cases
- Contextualization Rules: Defines clear criteria for when and what information should be stored for system memory.
- Standardized Format: Specifies a generic format for memory entries, including date, subject, concise description, and impact.
- Automated Updates: Integrates with an
orchestrator and writor agent for automatic, context-aware memory updates.
- Use Case: After an architectural decision is made, a new agent is created, or a workflow is validated, use this skill to ensure the relevant information is automatically added to
.claude/data/brain/context.json, providing a persistent, searchable memory for future operations.
Quick Start
Use the context skill to store a new memory entry about a recently created agent, including its purpose and impact.
