Claude Skills by LoopyLuci

Use when implementing PyTorch data loading.

Use when building GNNs with PyG.

Use when training with Lightning.

Use when reporting bugs, doing QA, or filing GitHub issues conversationally

Use when using Qdrant vector database.

Use when building Qt cross-platform UIs.

Use when implementing quantum algorithms with Qiskit.

Use when conducting quarterly business reviews.

Build retrieval augmented generation with embeddings and vector DB

Use when building retrieval-augmented generation systems.

Use when implementing advanced random forest models.

Use when defending against ransomware.

Use when interfacing Raspberry Pi GPIO.

Use when implementing react animations.

Use when implementing react context.

Use when implementing react forms.

Use when implementing advanced React hooks patterns.

**Trigger**: Use when developing React Native or Expo applications — component patterns, navigation, state management, and native module integration. A practical guide for building production-ready React Native and Expo applications. Covers UI, animations, state, testing, performance, and deployment.

Use when implementing RN navigation.

Use when building mobile apps with React Native.

Use when implementing react render performance.

Use when implementing react routing.

Use when using Zustand for state.

Use when testing React components.

Comparative market analysis. Comps, adjustments, pricing.

Use when managing real estate leads and clients.

MLS listing copy. AIDA, feature-to-benefit, A/B variants.

Use when analyzing real estate markets and valuations.

Use when researching markets. Demographics, comps, schools.

Use when underwriting property. Cap rate, NOI, IRR, DSCR.

Rental cash flow analysis. 1% rule, 50% rule, cash-on-cash.

Social media content for real estate. 30-day calendar.

Closing checklists per state. Docs, disclaimers, compliance.

Use when building live network traffic visualization UI.

Use when receiving and integrating feedback from code reviews

Use when building recommendation engine architectures.

Use when planning and executing red team operations.

Use when implementing Redis caching and data structures.

Use when managing Redshift clusters.

Use for refactoring. Smell detection, patterns, metrics.

Use when writing advanced regular expressions and patterns.

Use when implementing RLHF or RLAIF for alignment.

Use when implementing reinforcement learning algorithms.

Use when building apps with Remix.

Use when managing remote and distributed teams.

Use when working in remote teams.

Use when planning a refactor, requesting a refactoring RFC, or breaking refactors into commits

Write ML papers for NeurIPS/ICML/ICLR: design→submit.

Use when conducting systematic AI/ML research.

Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.