custom_project_skill

To maintain research workflow consistency, you need a structured context protocol that enforces documentation standards and checks. This ensures AI sessions cross-reference papers correctly and maintain proper Obsidian link formatting before executing technical tasks.

You enforce academic integrity by implementing mandatory onboarding checks that read configuration files and verify project state. This prevents hallucination by cross-referencing anti-hallucination guidelines before any research protocol execution begins.

A hybrid context protocol is a structured sequence of steps to start an AI session, involving reading prompt templates, loading handoff files, and cross-referencing papers. It provides the mandatory context required for consistent research task execution.

Auto-routing uses a smart system that directs AI to the correct file location based on contextual intent. This eliminates the need for explicit file naming by analyzing the user's request and mapping it to the appropriate research workflow component.

You can use the research protocol without an Obsidian vault, but you will lose automatic link formatting and YAML frontmatter maintenance. The core context checks and documentation standards still apply to your research workflow files.

Proactive knowledge detection works for documenting methodological nuances by automatically identifying context shifts during research. It suggests documenting new knowledge and nuances to ensure your project maintains comprehensive and interactive documentation standards.