session-context

To personalize AI replies, the skill automatically sets user context variables like user_name, user_role, and user_team at session start by retrieving employee profiles from enterprise search, HR systems, and CRM data sources.

Automatic role identification detects a user's job title, department, and seniority from connected HR systems and CRM records. This allows the AI to tailor outputs specifically for GTM professionals like marketers and customer success agents without manual input.

You can stop repeating your role and seniority by using a skill that runs silently in the background to capture your user context at session start, storing variables like user_focus_areas to seamlessly enhance all subsequent skill interactions.

Yes, you can integrate enterprise search and HR systems to retrieve employee profiles and org charts. This allows the skill to set team context variables, ensuring AI outputs are tailored to the user's specific responsibilities and seniority.

Yes, the skill integrates with CRM data sources to retrieve user records, enabling it to automatically set user context and provide deal-focused recommendations for sales reps without requiring manual role input.

AI typically does not retain user role and focus areas across sessions without a context-setting mechanism. This skill solves that by silently executing at session start to store user context variables for downstream personalization.