Machine learning

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）

Answer questions about the AI SDK and help build AI-powered features.

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…

Draft a GitHub PR review with inline comments.

Use when implementing GPT chat, streaming, function calling, embeddings for RAG, images, audio or batch jobs, or troubleshooting 429 rate limits and API or…

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.

Use when a mostly complete ML conference paper needs self-review, pre-submission QA, camera-ready checking, section-by-section critique, citation-risk…

Audit how a brand appears in AI-powered search (ChatGPT, Perplexity, Claude, Gemini).

Expert guidance on requesting, renewing, and revoking certificates in the Wendy ecosystem via pki-core.

Security invariants every Wendy interop change must respect, distilled from the AAA contract.

27 ai & machine learning skills.

Show AI/LLM spending, budget usage, and operational cost metrics.