context-initialization

Context-initialization automatically creates or updates AGENTS.md to enforce search-first behavior, instructing AI to consult existing skills, documented patterns, and authentication methods before generating new solutions. This prevents redundant effort across database access, scientific packages, and laboratory integrations.

AGENTS.md is a directive file that guides AI to search for relevant skills across categories—databases, packages, platforms, methods—before coding. Context-initialization automatically maintains this file, referencing complete templates to ensure consistent skill discovery and best-practice enforcement.

Yes. Context-initialization intelligently inserts skill-search directives into existing AGENTS.md files without overwriting custom content. It references templates from references/AGENTS.md to maintain consistency while respecting your established patterns.

Use context-initialization at project start to ensure AI automatically searches for existing database connection skills, data analysis package usage patterns, and laboratory platform integrations before solving tasks. This promotes consistency, reduces redundant work, and enforces documented methodologies.

Context-initialization is auto-invoked. No manual action required—the agent automatically updates AGENTS.md to guide its own behavior and enforce skill-search-first practices.

Context-initialization guides discovery across database access patterns, scientific package usage, laboratory platform integrations, scientific analysis methods, and documented authentication approaches, ensuring AI leverages existing, tested solutions before coding.