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Found 16 Skills
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration
Build AI agents with persistent threads, tool calling, and streaming on Convex. Use when implementing chat interfaces, AI assistants, multi-agent workflows, RAG systems, or any LLM-powered features with message history.
Audit and optimize Convex application performance, covering hot path reads, write contention, subscription cost, and function limits. Use when a Convex feature is slow, reads too much data, writes too often, has OCC conflicts, or needs performance investigation.
Initialize a new Convex backend from scratch with schema, auth, and basic CRUD operations. Use when starting a new project or adding Convex to an existing app.
Set up Convex authentication with proper user management, identity mapping, and access control patterns. Use when implementing auth flows.
Plan and execute Convex schema migrations safely, including adding fields, creating tables, and data transformations. Use when schema changes affect existing data.
Design and build Convex components with clear boundaries, isolated state, and app-facing wrappers. Use when creating a new Convex component, extracting reusable backend logic into one, or packaging Convex functionality for reuse across apps.
Design and generate Convex database schemas with proper validation, indexes, and relationships. Use when creating schema.ts or modifying table definitions.
Create Convex queries, mutations, and actions with proper validation, authentication, and error handling. Use when implementing new API endpoints.
Discover and use convex-helpers utilities for relationships, filtering, sessions, custom functions, and more. Use when you need pre-built Convex patterns.
Set up Convex authentication with proper user management, identity mapping, and access control patterns. Use when implementing auth flows.
Plan and execute Convex schema migrations safely, including adding fields, creating tables, and data transformations. Use when schema changes affect existing data.