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Found 65 Skills
Elite AI/ML Senior Engineer with 20+ years experience. Transforms Claude into a world-class AI researcher and engineer capable of building production-grade ML systems, LLMs, transformers, and computer vision solutions. Use when: (1) Building ML/DL models from scratch or fine-tuning, (2) Designing neural network architectures, (3) Implementing LLMs, transformers, attention mechanisms, (4) Computer vision tasks (object detection, segmentation, GANs), (5) NLP tasks (NER, sentiment, embeddings), (6) MLOps and production deployment, (7) Data preprocessing and feature engineering, (8) Model optimization and debugging, (9) Clean code review for ML projects, (10) Choosing optimal libraries and frameworks. Triggers: "ML", "AI", "deep learning", "neural network", "transformer", "LLM", "computer vision", "NLP", "TensorFlow", "PyTorch", "sklearn", "train model", "fine-tune", "embedding", "CNN", "RNN", "LSTM", "attention", "GPT", "BERT", "diffusion", "GAN", "object detection", "segmentation".
Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns and avoiding assumptions.
Best Practices for Database and Table Name Specification Validation and Automatic Correction. Applicable to scenarios like "Does the database comply with specifications?", "table name specifications", "check table names", "optimize table names", "database naming", "check this file", "Is the table name compliant?"
Use when implementing production-quality bioinformatics software with proper error handling, logging, testing, and documentation, following software engineering best practices.
Daily coding assistant that auto-triggers when writing/modifying code, providing a core checklist. ✅ Trigger scenarios: - Implementing new features, adding code, modifying existing code - User requests "write a...", "implement...", "add...", "modify..." - Any coding task involving Edit/Write tools ❌ Does not trigger: - Pure reading/understanding code (no modification intent) - Already covered by specialized skills (bug-detective, architecture-design, tdd-guide) - Configuration file changes, documentation writing
Standards for implementing and reviewing React/TypeScript/Next.js features in codebases that use React Hook Form, Zod, React Query or Connect Query, and proto-generated API types. Use when building frontend forms, hooks/components, state flows, and type-safe UI mappings in this stack.
Generate frontend page structures based on standardized Anatomy specifications; proactively ask users to select generation modes (Unsupervised/Supervised), and support automatic generation of Wrapper, Content, and Optional Store modules
Code Reviewer Specialist. Use this to review PRs, check security, and ensure code quality standards before merging.
Use when writing any code - enforces clean architecture with descriptive names, real implementations, no backward compatibility concerns, and no lint suppressions
Generate custom Go errors following GO modular architecture conventions using bricks errs.New(code, message, httpStatus, metadata). Use when creating new domain errors, extending internal/modules/<module>/errs/errs.go, or standardizing error codes/messages/statuses in identity and monitor modules.
L3 Worker. Reviews task implementation for quality, code standards, test coverage. Creates [BUG] tasks for side-effect issues found outside task scope. Sets task Done or To Rework. Usually invoked by ln-400 with isolated context, can also review a specific task on user request.
Create or update the project constitution through interactive phase-based