Machine learning

Find the right skill, agent, command, rule, checklist, or marketplace skill in this ~/.claude toolkit for the current task.

Author or review software tests and LLM/agent evals; choose test placement and mocks, diagnose flaky CI, or repair brittle suites.

This skill should be used when the user asks to review, referee, or critique an ML/AI paper for an A* venue or laboratory pre-review.

Use when auditing a codebase for semantic duplication - functions that do the same thing but have different names or implementations.

Use when working with this machine's local LLM setup (LM Studio + mlx-dspark) -- checking status, changing context window, diagnosing a reasoning hang or dead…

Knowledge base from "Solving a Million-Step LLM Task with Zero Errors" (Meyerson, Paolo, Dailey, Shahrzad, Francon, Hayes, Qiu, Hodjat, Miikkulainen —…

THE single skill to publish profitable, rejection-proof skills to the Capafy marketplace end-to-end, verification-baked.

Save and retrieve memories or embeddings via the repo helpers or API.

Expert AI/ML engineer specializing in machine learning model development, deployment, and integration into production systems.

Security audit: threat model, OWASP Top 10 (and LLM Top 10), abuse cases, dependency and secret scan, with ranked findings and concrete fixes.

Search and analyze 5,400+ Solana hackathon projects using Colosseum Copilot.

Use only when the user explicitly asks for help drafting or revising an AI/ML research paper in LaTeX, including structure, BibTeX, formatting, or…

Use when working with iOS/macOS Keychain Services (SecItem queries, kSecClass, OSStatus errors), biometric authentication (LAContext, Face ID, Touch ID)…

Pointer to the upstream skill for behavioural guidelines that reduce common LLM coding mistakes, installed from upstream.

Pointer to the upstream skill for building voice agents with speech-to-speech and STT-LLM-TTS pipelines, installed from upstream.

現在のセッションから汎用知識のみを抽出し、話題ごとに自動タイトルで分割・保存（Obsidianの llm-wiki/raw/research 以下、引数不要）

Generate PPTX decks on Windows using bash and Python.

Use for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity…

Specialist subagent: Expert machine learning engineer for PyTorch, TensorFlow, LLM integration, and ML pipelines

Build AI-powered browser agents that autonomously navigate, scrape, fill forms, and extract data from dynamic websites using LLM reasoning + Playwright.

Set up and optimize a complete local AI infrastructure — Ollama, Open WebUI, local RAG pipelines, and private model serving.

Builds AI-powered trading and financial analysis agents with multi-agent LLM architectures: research pipelines, sentiment signals, portfolio optimization…

Processar, comparar ou reindexar artigos acadêmicos no RAG MVLI com proveniência entre fonte, trecho e evidência.

Use when tasks need optional PyCaret model training, ML factor generation, inference wrappers, feature importance, or sparse LASSO weight generation.