context-engine

You ensure AI advisors use up-to-date company context by loading local context files and applying staleness detection. The system flags context older than 90 days and prompts you to refresh the data before generating advice.

You anonymize sensitive company data before external API calls by applying strict privacy enforcement protocols. The system detects sensitive information in your company context and masks it before any external tool usage.

The best way to manage company context for C-suite advisor skills is to centralize context loading from a local file and enforce privacy rules. This ensures AI advisors receive relevant, compliant data for personalized advice.

You do not need to manually update company context files constantly, as the system detects stale context older than 90 days and prompts you for a refresh. Running an initial setup command builds the foundational company context.

AI advisors give generic advice instead of company-specific recommendations when they lack current company context. Loading local context files with current stage, challenges, and metrics ensures the AI provides personalized strategic recommendations.

Yes, the context management skill works with local markdown files by automatically loading essential company information from a designated local file path. This ensures your C-suite advisor skills have immediate access to relevant business data.