Machine learning

Applies Tom M.

Use when comparing basic, enhanced, GraphRAG, or agentic RAG designs, evaluating domain-specific RAG quality, tuning retrieval components, or deciding whether…

Use when building Hugging Face smolagents, code-executing agents, Python-action agents, Hub-shared tools, or lightweight agent prototypes that need sandboxing…

Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart".

Write, maintain, and migrate CHANGELOG.md files using Keep a Changelog format and best practices.

OWASP LLM Top 10 (2025) audit checklist for AI applications, agent tools, RAG pipelines, and prompt construction.

Use when re-embedding a live corpus after a model, dimension, preprocessing or prefix change: shadow columns, blue-green backfill, cutover.

Design, review, migrate, measure, or debug PostgreSQL vector retrieval with pgvector.

Use when the user directly requests efficiency-aware multi-angle unit tests or a test report after code changes.

Staff-level codebase health review.

Drive PostHog through the claude.ai `exec` connector — query analytics and entities (HogQL, insights, funnels, retention, web analytics), investigate LLM…

Elite AI Product Manager skill with expertise in AI product strategy, LLM product development, ML feature prioritization, AI ethics and fairness.

Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart".

Use when the user asks about Claris MCP — Model Context Protocol integration with FileMaker (FM), enabling AI assistants to read data, run scripts, and…

Scan training data for benchmark contamination — n-gram overlap, embedding similarity, and exact canary detection against 60+ evaluation datasets.

BentoML — model serving and deployment.

Manages Volcano Engine ContextSearch control-plane and application-console operations.

Volcengine VOD audio and video processing tools skill.

Captum (PyTorch) — model interpretability and feature attribution.

Chroma — AI-native embedding database.

Clean, normalize, and prepare raw datasets for analysis or ML.

HuggingFace Diffusers library for diffusion models: text-to-image, image-to-image, inpainting, super-resolution.

Detect documentation-code drift.

Load, stream, process, and publish datasets with the HuggingFace datasets library.