Custom React Flow nodes need consistent TypeScript, handles, and store wiring. This skill guides Claude, Codex, and Claude Code through reusable node patterns.

Complex ReactFlow projects can become slow and difficult to maintain. This skill provides architecture patterns for hierarchy, layout, state, and performance.

React and Next.js apps often suffer from slow data fetching, large bundles, and avoidable re-renders. This skill gives agents concrete rules and examples for performance-focused code generation and review.

RAG projects often fail because retrieval quality is weak or unmeasured. This skill guides chunking, embeddings, vector search, hybrid retrieval, reranking, and evaluation choices.

Accessible component libraries are hard to build from headless primitives. This skill guides Radix UI architecture, theming, and component patterns for production React teams.

Quant finance work needs disciplined modeling, realistic backtests, and risk-aware evaluation. This skill structures research with metrics, validation steps, and portfolio analysis guidance.

Python teams need repeatable patterns for reliable tests. This skill guides pytest fixtures, mocks, async tests, coverage, and CI setup.

Python teams need current guidance for reliable services, tools, and data workflows. This skill applies modern Python patterns, testing, typing, and performance practices.

Slow Python services waste compute and hide bottlenecks. This skill guides profiling, benchmarking, memory tuning, and targeted optimization.

Python projects often need framework, async, typing, and structure decisions. This skill guides Claude, Codex, and Claude Code through practical Python choices.

FastAPI projects need consistent choices across setup, data models, routes, auth, tests, and deployment. This skill provides a phased workflow with focused prompts for each backend step.

Starting a Python project often requires many repeated setup decisions. This skill creates consistent scaffolds for APIs, Django apps, libraries, and CLI tools.

Large input matrices make complete testing slow and costly. This skill helps create pairwise test sets that improve coverage with fewer cases.

API projects need consistent request, response, update, and database schemas. This skill guides Claude, Codex, and Claude Code to create Pydantic v2 model families.

Protocol behavior is hard to understand from raw packet captures. This skill gives structured methods to capture, dissect, document, and test network protocols.

Teams lose time rewriting common prompts for coding, writing, analysis, and planning. This skill provides reusable templates and checklists for clear, structured AI requests.

Weak prompts create inconsistent AI results and wasted review time. This skill gives clear patterns, templates, and testing methods for reliable prompts.

Writing clear prompts is hard when goals are vague or complex. This skill turns rough requests into structured prompts using proven prompt frameworks.

Repeated prompts can increase latency and LLM spend. This skill helps teams choose prompt, response, and CAG caching patterns.

Prometheus setup can become inconsistent across clusters and services. This skill guides Prometheus configuration, scrape targets, recording rules, alerting, and validation.