Slow DataFusion queries can waste compute and hide simple plan issues. This skill reviews SQL and DataFrame patterns, then suggests concrete performance improvements.

Video conversion and transcription often require several command-line tools. This skill provides one CLI workflow for extracting audio, converting formats, and creating Whisper transcripts.

ML projects can look accurate while data leakage or weak evaluation hides serious flaws. This skill guides structured checks for splits, metrics, training, and deployment readiness.

Custom charts often need interactions that simple chart libraries cannot express. This skill guides D3.js SVG setup, data binding, scales, axes, tooltips, zoom, transitions, and color choices.

Data models and state updates can drift without clear review. This skill guides analysis of typing, mutation, and serialization choices.

Distributed neural network training requires coordinated setup, validation, and deployment. This skill guides Flow Nexus workflows from architecture design to production serving.

Agents often repeat weak strategies because learning data stays unstructured. This skill organizes trajectories, patterns, benchmarks, and recommendations into a ReasoningBank workflow.

ML model projects need a repeatable path from data preparation to deployment. This skill gives Claude, Codex, and Claude Code a structured workflow for training, evaluation, and packaging.

ML training can fail through NaN loss, overfitting, slow convergence, or unstable gradients. This skill guides diagnosis, targeted fixes, validation, and reporting.

Training failures are hard to debug when logs, curves, code, and configs point in different directions. This skill organizes the evidence and returns likely root causes, fixes, and verification steps.

Neural training across sandboxes is hard to coordinate. This skill gives Claude, Codex, and Claude Code workflows for Flow Nexus training, inference, templates, and clusters.

Large vector databases can become slow, memory-heavy, and hard to benchmark. This skill provides a structured AgentDB optimization workflow for quantization, HNSW indexing, caching, and validation.

Teams need fast semantic retrieval for documents, RAG systems, and knowledge bases. This skill gives AgentDB setup, search patterns, and tuning guidance.

Teams need relevant document retrieval for RAG and knowledge bases. This skill guides AgentDB setup, embedding storage, indexing, API search, and relevance tuning.

Advanced AgentDB projects need reliable patterns for sync, search, and database operations. This skill gives practical guidance for QUIC sync, hybrid search, sharding, and production tuning.

Distributed vector search needs careful replication, metrics, monitoring, and deployment planning. This skill gives a phased AgentDB workflow for scalable hybrid search systems.

Analytics events often drift from schema, PII, and registration standards. This skill guides MixPanel implementation and review for Django optimo_analytics workflows.

Manual arithmetic checks slow agents when users need quick numeric answers. This skill evaluates basic math expressions and returns concise results.

Database users need reliable SQL that matches their connection type and schema. This skill guides Claude, Codex, and Claude Code to inspect schemas, write read-only queries, and explain results clearly.

Writing correct SQL across database dialects is slow and error-prone. This skill helps Claude, Codex, and Claude Code create safe DBX Studio queries.