Skill UI

Provides production-ready Mistral SDK practices for TypeScript and Python, covering client initialization, chat completions, streaming, tool calling, embeddings, and error handling for integration projects.

Defines a Perplexity reference architecture for AI research and search projects, covering model routing, citation extraction, conversational search, and multi-query pipelines to establish consistent integrations and reviews.

Senior Prompt Engineer centralizes prompt optimization, RAG evaluation, and agent orchestration so teams can analyze token usage, build few-shot examples, and validate structured workflows for LLM projects.

Automates guidance on train/test split workflows inside ML training, surfacing best-practice patterns, code snippets, and validation tips for PyTorch, TensorFlow, and sklearn projects.

Hierarchical Agent Memory (HAM) scopes Claude Code agent context by generating per-directory CLAUDE.md files, tracking token savings, and surfacing analytics via a dashboard so multi-folder projects avoid repeated full scans.

Orchestrates autonomous AI research projects with a two-loop structure, bootstrapping experiments, synthesizing findings, and delivering presentations. Runs continuously using Claude Code/OpenClaw heartbeats and routes to domain skills for execution, ideal when starting or managing multi-hypothesis research efforts.