prisma init. Reference when using this Prisma feature.
prisma debug. Reference when using this Prisma feature.
prisma db push. Reference when using this Prisma feature.
prisma db seed. Reference when using this Prisma feature.
Prisma Postgres Setup
Removed Features. Reference when using this Prisma feature.
Prisma Accelerate Users
Driver Adapters. Reference when using this Prisma feature.
prisma migrate dev. Reference when using this Prisma feature.
prisma migrate resolve
CockroachDB Setup. Reference when using this Prisma feature.
Use the official Microsoft Dataverse Python SDK for data operations. USE WHEN: "use the SDK", "query records", "create records", "bulk operations", "upsert", "Python script for Dataverse", "read data", "write data", "upload file", "bulk import", "CSV import", "load data", "data profiling", "data quality", "analyze data", "Jupyter notebook", "pandas", "notebook". DO NOT USE WHEN: creating forms/views (use dataverse-metadata with Web API), exporting solutions (use dataverse-solution with PAC CLI).
Analyzes an opportunity's current state and engagement history, compares against won deals, and recommends the most effective next action with reasoning. Use when user asks "what should I do next on this deal", "next steps for this opportunity", "how do I move this deal forward", "what's the best action for this opp", "deal coaching", or "opportunity next action".
Browse, analyze, and contribute to the team's SharePoint solution library. Uses agent teams for intelligent tagging and pattern extraction.
Pull all M365 context about a customer/company using WorkIQ MCP. Searches emails, meetings, documents, Teams, and people to compile a complete customer context file before research and architecture.
Identifies potential duplicate Accounts, Contacts, or Leads in Dataverse using intelligent fuzzy matching that catches nicknames, abbreviations, phone format variations, and address similarities. Use when user says "find duplicates", "check for duplicate accounts", "are there any duplicate contacts", "duplicate detection", "clean up duplicates", "merge duplicates", or "data quality check".
Analyzes opportunity data and activity notes to generate competitive intelligence including win/loss rates by competitor, patterns, and rep-ready battlecard talking points. Use when user asks "how are we doing against [competitor]", "competitive analysis", "competitor win rate", "battlecard for [competitor]", "competitive landscape", "why are we losing to [competitor]", or "competitor intelligence".
Guides sales reps through structured lead qualification using BANT+ methodology. Evaluates leads, suggests discovery questions, scores quality, and recommends next steps. Use when user says "qualify this lead", "help me qualify", "BANT analysis", "score this lead", "should I convert this lead", "lead qualification questions", or "assess lead quality".
Generates a weighted sales forecast from Dataverse opportunity data. Calculates committed, best-case, and pipeline views by rep and team; compares to quota; flags risks and upside. Use when user asks "what's my forecast", "quarterly forecast", "pipeline forecast", "where's my number", "forecast report", "am I going to hit quota", "sales projection", or "revenue forecast".
Identifies accounts showing warning signs of churn by analyzing activity trends, support cases, and engagement signals. Scores risk and prioritizes intervention targets. Use when user asks "which accounts are at risk", "churn risk analysis", "find accounts that might leave", "customer health check", "at-risk customers", "retention warning signs", or "account health score".