Use skill-memory to download, view and edit agent skills in memory. TRIGGER by 'skill', 'memory', 'learn'.
Setup and configure oh-my-droid (the ONLY command you need to learn)
Setup and configure oh-my-claudecode (the ONLY command you need to learn)
Setup and configure oh-my-droid (the ONLY command you need to learn)
PyTorch deep learning development with transformers, diffusion models, and GPU optimization.
Generate context-efficient prompts for SpectroCloud tasks. Skills are global - agents must READ them. Learnings stay local.
Three-layer verification architecture (CoVe, HSP, RAG) for self-verification, fact-checking, and hallucination prevention
Expert guidance on Swift Concurrency best practices, patterns, and implementation. Use when developers mention: (1) Swift Concurrency, async/await, actors, or tasks, (2) "use Swift Concurrency" or...
Applies coding standards from CLAUDE.md and coding-standards.md with dynamic learning that adapts to team preferences over time.
Capture and review lessons learned from coding sessions. Use to record insights, read past lessons, and improve over time.
AI-powered defect prediction, pattern learning, and root cause analysis for proactive quality management.
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.
Assess and analyze developer skill growth and progression. Identifies capability gaps, learning paths, and mastery levels across technology domains.
Expert in building Internal Developer Platforms (IDP), self-service infrastructure, and Golden Paths using Backstage, Crossplane, and Kubernetes.
Expert guidance for computer vision development using OpenCV, PyTorch, and modern deep learning techniques for image and video processing.
Configure Opik SDK for LLM observability. Use when setting up a new project, connecting to Opik Cloud, or configuring self-hosted Opik.
How to create, structure, and publish self-contained Convex components with proper isolation, exports, and dependency management
How to create, structure, and publish self-contained Convex components with proper isolation, exports, and dependency management
Use when discovering codebase patterns, making architectural decisions, solving recurring problems, or learning project-specific context that should persist across sessions
Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.