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Found 40 Skills
Setup universal code quality standards in your project. Use when the user wants to generate coding standards files (CLAUDE.md, AGENTS.md, GEMINI.md, etc.) or mentions 'code standards', 'code review setup', or similar intent in any language.
TypeScript, React, and JavaScript best practices enforced by Ultracite/Biome.
Enforce project code standards when writing code
Human Made React component standards. Apply when writing React components, reviewing React code, or building WordPress block editor interfaces. Covers functional components, hooks, PropTypes, and component organization.
Human Made engineering principles and code quality standards. Apply when writing code, reviewing code, planning implementations, or discussing architecture. Covers code quality priorities, simplicity over complexity, and avoiding over-engineering.
Complete project planning and execution framework. Automatically includes all 14 planning sections (planning/0-Master-Index.md through planning/13-Lessons-Learned-Continuous-Improvement.md) plus all 9 Claude Skills (tech-stack-selector, architecture-decisions, code-standards-enforcer, ci-cd-pipeline-builder, agile-executor, project-risk-identifier, automation-orchestrator, webapp-testing, web-artifacts-builder). When installed, all planning templates and execution skills are immediately available.
Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments
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".
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.
Configure GitHub Copilot with custom instructions. Use when setting up .github/copilot-instructions.md, customizing Copilot behavior, or creating repository-specific AI guidance. Triggers on Copilot instructions, copilot-instructions.md, GitHub Copilot config.
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.
Automatically validate and fix Moodle PHP code for PSR-12 compliance with Moodle-specific exceptions (lowercase_with_underscores naming, frankenstyle prefixes). Activates when working with Moodle plugin PHP files or when code standards issues are detected.