Generate waveform visualizations from audio files. Use when a user asks to create waveform images, build audio player visualizations, generate waveform data for web players, create podcast episode previews, build audio thumbnails, render waveform PNGs for social media, extract peak data as JSON, or integrate waveform generation into audio processing pipelines. Covers audiowaveform CLI, JSON/binary data output, and web player integration.
Set up and manage database schema versioning with migration files, automated rollback capabilities, and CI/CD integration. Use when you need to version database changes, generate migration files from schema diffs, safely roll back failed deployments, or audit schema history. Trigger words: migration, schema change, rollback, database versioning, ALTER TABLE, Prisma migrate, Knex migrations, Flyway, Liquibase.
Manage Daytona sandboxes for RLM execution. Use when creating, inspecting, or cleaning up Daytona sandboxes and durable volumes used by fleet_rlm DaytonaInterpreter.
Use this agent when you need to review database migrations, data models, or any code that manipulates persistent data. This includes checking migration safety, validating data constraints, ensuring transaction boundaries are correct, and verifying that referential integrity and privacy requirements are maintained. <example>Context: The user has just written a database migration that adds a new column and updates existing records. user: "I've created a migration to add a status column to the orders table" assistant: "I'll use the data-integrity-guardian agent to review this migration for safety and data integrity concerns" <commentary>Since the user has created a database migration, use the data-integrity-guardian agent to ensure the migration is safe, handles existing data properly, and maintains referential integrity.</commentary></example> <example>Context: The user has implemented a service that transfers data between models. user: "Here's my new service that moves user data from the legacy_users table...
Use this agent when reviewing PRs that touch database migrations, data backfills, or any code that transforms production data. This agent validates ID mappings against production reality, checks for swapped values, verifies rollback safety, and ensures data integrity during schema changes. Essential for any migration that involves ID mappings, column renames, or data transformations. <example>Context: The user has a PR with database migrations that involve ID mappings. user: "Review this PR that migrates from action_id to action_module_name" assistant: "I'll use the data-migration-expert agent to validate the ID mappings and migration safety" <commentary>Since the PR involves ID mappings and data migration, use the data-migration-expert to verify the mappings match production and check for swapped values.</commentary></example> <example>Context: The user has a migration that transforms enum values. user: "This migration converts status integers to string enums" assistant: "Let me have the data-migration-ex...
Use when optimizing PostgreSQL or supabase queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring.
Autonomous performance optimization loop. Iteratively reduces query count and execution time by modifying code, benchmarking, and keeping/reverting changes. Activates when: optimizing performance, reducing overhead, improving execution time, benchmarking, or when user mentions: autoresearch, optimize, performance, benchmark.
Designs database schemas with proper normalization, indexing, constraints, and tenant isolation patterns. Use when someone needs to create a new database schema, add multi-tenant support, design row-level security policies, or optimize table structures. Trigger words: database schema, table design, RLS, row-level security, foreign keys, indexes, migrations, ERD, data model, normalization.
You are an expert in Knex.js, the flexible SQL query builder for Node.js that supports PostgreSQL, MySQL, SQLite, and MSSQL. You help developers write type-safe queries with a chainable API, manage database migrations and seeds, build complex joins and subqueries, and use transactions — providing direct SQL control without the overhead of a full ORM.
Store and search vector embeddings in PostgreSQL with pgvector — no separate vector database needed. Use when someone asks to "vector search in Postgres", "store embeddings", "pgvector", "similarity search", "RAG with Postgres", "semantic search in existing database", or "add AI search to my app without a separate vector DB". Covers vector columns, indexing (IVFFlat, HNSW), similarity search, and integration with ORMs.
ADO.NET patterns, Entity Framework, database best practices
Build, review, debug, and launch MPI-based applications across Open MPI, MPICH-family, Intel MPI, MVAPICH2, and scheduler-integrated runtimes. Use when working with `mpirun` or `mpiexec` or `srun`, wrapper compilers such as `mpicc`, rank or thread geometry, process binding, PMI or PMIx integration, or MPI build and runtime failures.
Build, review, and debug FEniCS or DOLFINx PDE scripts for finite-element workflows. Use when translating PDEs into UFL, selecting function spaces, applying boundary conditions, choosing between classic FEniCS and DOLFINx, or fixing FEM runtime errors.
Capture meaningful recognition mismatches, false completion claims, and verification misses into tmp/RETRO.md for rawsql-ts developer work.
Assists with building, training, and deploying neural networks using PyTorch. Use when designing architectures for computer vision, NLP, or tabular data, optimizing training with mixed precision and distributed strategies, or exporting models for production inference. Trigger words: pytorch, torch, neural network, deep learning, training loop, cuda.
Expert guidance for Mojo, the programming language by Modular that combines Python's usability with C-level performance. Helps developers write high-performance AI/ML code, optimize numerical computations with SIMD and parallelism, and gradually port Python code to Mojo for orders-of-magnitude speedups.
Verekia's preferred project setup with Next.js Pages Router, Tailwind 4, Prettier, and TypeScript.
You are an expert in the Vercel AI SDK, the TypeScript toolkit for building AI-powered applications. You help developers integrate LLMs (OpenAI, Anthropic, Google, Mistral, Ollama) with React Server Components, streaming UI, tool calling, structured output with Zod schemas, RAG pipelines, multi-step agents, and edge-compatible AI features — the standard way to add AI to Next.js, Nuxt, SvelteKit, and any Node.js app.
