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160 skills found
Produce clear, professional technical documentation, blog posts, and tutorials based on real engineering experience, prioritizing value and actionable insights.
Anthropic Claude AI models for high-performance coding, large-context analysis, and GUI interaction.
A deep reasoning protocol that ensures systematic analysis, multi-hypothesis generation, and rigorous verification for complex architectural, debugging, and high-stakes tasks.
Maintain and update the MassGen model registry, including backend capabilities, model metadata, pricing structures, and context window configurations for new and existing AI models.
Architect and optimize production-grade RAG systems. Master embedding models, vector databases, chunking strategies, and retrieval pipelines for high-accuracy LLM applications.
Analyzes codebases to generate hierarchical documentation, onboarding guides, and architectural mapping, helping teams understand and document their projects efficiently.
Systematically trace code flows, locate implementations, diagnose performance issues, and map system architecture to understand complex codebases.
Build professional, accessible, and responsive user interfaces using React, Next.js, and modern design systems like shadcn/ui. Focuses on developer tools, chat interfaces, and real-time streaming components.
A persistent, adaptive coaching assistant that analyzes your Claude Code session history to recommend personalized skills and improve your AI collaboration patterns.
Standardizes project context by managing artifacts (product, tech-stack, workflow, tracks) in a conductor/ directory. Supports project scaffolding, artifact synchronization, and AI alignment for greenfield and brownfield projects.
Guidelines for curating high-quality datasets for LLM post-training (SFT/DPO/RLHF), covering data formats, quality filtering, and collection strategies.
Create well-structured user stories with clear acceptance criteria using the standard As a/I want/So that framework for agile team alignment.