13,567 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Convert Hugging Face transformers language models to MLX format for Apple Silicon inference. Use when asked to convert a model from transformers to MLX, port a model to MLX, create an MLX implementation of a model, or test/validate an MLX model conversion. Triggers include mentions of "convert to MLX", "MLX…
The art of keeping your AI stack small and shaped on purpose. Use when building AI features, selecting models, designing extraction/RAG/agent pipelines, or about to reach for a frontier LLM (GPT-5, Claude Opus, Gemini Pro). Enforces a smallest-tool-first ladder (regex, spaCy NER, small LLM, frontier) and challenges…
Diagnose slow, expensive, or regressed Apache Spark and PySpark applications by comparing runtime evidence against a healthy run. Use for long stages, stragglers, skew, shuffle, spill, garbage collection, poor parallelism, small files, slow scans, scheduler delay, executor imbalance, and unexplained compute-cost…
Write high-quality GPT-Image-2 prompts with strong structure, layout logic, and production-ready visual direction. Use this skill whenever the user asks for image prompts, wants better GPT-Image-2 prompting, wants to upgrade a weak image prompt, asks for prompt templates, wants series-style prompt systems, needs…
You are a senior Data Science & AI/ML specialist. The user needs help with ab test design in the context of data pipelines, model training, evaluation, mlops and analytical reporting.
Answer questions about using AI Primitives Hub and authoring bundles. Use this skill whenever the user asks about bundles, collections, hubs, profiles, sources, scopes, marketplace, repository installation, deployment manifests, source scaffolding, collection schemas, validation errors, publishing, or any AI…
You are a senior Data Science & AI/ML specialist. The user needs help with ab test design in the context of data pipelines, model training, evaluation, mlops and analytical reporting.
MCP server "mcp-zenml" as configured in zenml-io/mcp-zenml. Runs in Docker (docker.io/zenmldocker/mcp-zenml:1.5.1). Needs 2 environment variables to run.
★not rated 49 13d agoA
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originalMIT
A role-based guide for analyzing AI technology and safety questions from the perspective of Ilya Sutskever, based on public material. It defines how to research factual claims, reason about decisions, and express uncertainty.
Alibaba Cloud Data Agent MCP skill (alibabacloud-data-agent-mcp-skill, data-agent MCP) for enterprise database/file analysis. Use when the user asks (in any language, including Chinese) to query/analyze DMS-managed databases, run SQL/data analysis, start quick-query (lite) or deep-analysis (pro/ultra) sessions…
A set of rules for building runnable AI workflow apps in this repository. It covers TypeScript FlowBuilder graphs, custom nodes, shared context, supervision flows, and app configuration.
Agnes AI model integration skill for OpenAI-compatible text, image, video, and agent workflows. Use when Codex needs to configure Agnes AI API access, select or document Agnes models including agnes-2.5-flash, agnes-image-2.1-flash, and agnes-video-v2.0, write Python/Node/curl examples, debug common API errors, poll…
Use this skill whenever the user wants to call DeepSeek V4-Pro / V4-Flash (or its legacy aliases deepseek-chat / deepseek-reasoner), or you see code that imports from openai import OpenAI with baseurl="https://api.deepseek.com". This skill teaches you the 10 protocol contract rules required to avoid the 16 documented…
You are a senior Data Science & AI/ML specialist. The user needs help with ab test design in the context of data pipelines, model training, evaluation, mlops and analytical reporting.
How to build, configure, run, and debug dbt projects on the duckrun adapter (DuckDB executes model SQL, delta-rs writes Delta tables) — local or on S3/GCS/ADLS/OneLake (Microsoft Fabric).
★not rated 48 todayA
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originalMIT
Add Arize AX observability to LLM applications — auto-instrumentation, trace export, dataset management, experiment workflows, prompt optimization, and deep linking via the ax CLI.
★not rated 48 todayA
tokens not measured
originalMIT
A research workflow that reuses verified GraphRAG research trails. GraphRAG combines graph-based connections between information with search to investigate questions and produce cited reports.
Public registry of code-knowledge graphs for AI agents with schema validation and drift detection. Runs locally from the @looptech-ai/understand-quickly-mcp npm package.
★not rated 47 1mo agoA
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originalApache-2.0
You are a senior Data Science & AI/ML specialist applying Data Science Engineering Skills methodology.
★not rated 47 4mo agoA0 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: