14,252 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.
Build sentiment-analysis datasets in SDP pipelines using built-in Databricks AI functions (aianalyzesentiment, aiclassify, aiextract, aisummarize, aiquery). Use when creating or modifying tables that derive sentiment, topics, or entities from free-form text such as customer reviews, support tickets, social posts, or…
Architecture-agnostic interpretability with nnterp on nnsight 0.8 - one module vocabulary and standard values (layeroutput, attentionoutput, attentionprobabilities, ...) across 98 transformer families, the vision side of vision-language wrappers (model.vision, the tower blocks, the projector, imagetokenmask, image.
★not rated 15▲
+1 2d agoA
tokens not measured
originalMIT
You have access to Leeroopedia, a curated ML/AI knowledge base, via MCP tools. These are real MCP tools registered in your environment -- call them directly like any other tool. They contain framework-specific docs, code examples, API references, and best practices.
Production data engineering pipelines following medallion architecture (Bronze/Silver/Gold layers) with data ingestion, transformation, quality checks, Delta Lake optimization, and orchestration. Use when building ETL pipelines, medallion architecture, data lakes, or data transformation workflows.
Data science and ML workflow tools. 9 agents, 8 commands, 19 skills, 9 templates for problem framing, preprocessing, validation, EDA, experimentation, review, deployment, and knowledge compounding.
The catalog agent is the knowledge hub of the Data Workers swarm. It crawls, indexes, and serves metadata about every data asset across an organization's stack — tables, views, models, pipelines, dashboards, and metrics. It provides natural-language search, column-level lineage, quality scoring, and automated…
Browse 160+ LLM models and live pricing — no API key needed for catalog. Add key to route chat. Runs locally from the @orcarouter/mcp npm package. Needs 3 environment variables to run.
★not rated 14 15d agoA
tokens not measured
originalMIT
Use when Experiment must build, run, compare, or record reproducible ML/AI paper experiments locally or through the Research Assistant-configured ssh-bash tool and verified SSHFS workspace, including baselines, datasets, controlled trials, multi-seed formal evidence, ablations, and results promotion. Examples: user…
Load for any work involving Baseten - deploying/operating models on Dedicated Inference (Truss, custom Docker servers, TRT-LLM engines, Chains), calling hosted Model APIs, running Training Jobs or Loops, deploying Loops checkpoints, or Model Frontier Gateway.
Use the openrouter CLI to call any OpenRouter API endpoint from the shell - chat / messages / responses (with server tools, web search, PDF input, prompt caching, reasoning budgets, tools, alignment rules), batches, embeddings, rerank, text-to-speech, speech-to-text, image + video generation, model + provider…
Guide an idea into a generation-ready MiniMax H3 / Hailuo H3 prompt or diagnose an inspected H3 output. Use for T2VA, I2VA, FL2VA, L2VA, or Ref2VA; text-only PV and kinetic type, Motion Design/MG, packaging and transitions, product/UI/game/MV/title work, localized reality-to-hand-drawn edits, audio/timbre reference…
Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. TRIGGER when: code imports anthropic/@anthropic-ai/sdk; user asks to use the Claude API, Anthropic SDKs, or Managed Agents (/v1/agents, /v1/sessions, /v1/environments). DO NOT TRIGGER when: code…
Query your Google NotebookLM notebooks as a RAG knowledge base directly from Claude Code. Install the CLI, authenticate, and ask questions grounded in your uploaded sources.
★not rated 14 8mo agoA
tokens not measured
originalMIT
Associative memory for LLM agents: Graph RAG over a folder of markdown notes, in one SQLite file, with no server to run. Runs locally from the sqlite-graph-memory Python package. Needs 2 environment variables to run.
★not rated 14▲
+1 todayASocket: warn
tokens not measured
originalMIT
Guides AI agents through Senzing entity resolution workflows using the Senzing MCP server. Covers data mapping to Senzing format, SDK code generation (Python, Java, C#, Rust, TypeScript/Node.js), documentation search, error troubleshooting, sample data access, reporting and visualization, SDK setup guides, and…
Project-agnostic dual-memory tooling — semantic + structural memory for AI coding agents.
★not rated 13 2mo agoA20 tokens
originalMIT
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: