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.
Skill Claude CodeCodex
Write, push, run, publish, and manage Kaggle Benchmark tasks using the kaggle CLI and the kaggle-benchmarks Python SDK. Use when the user wants to create or push a benchmark task (optionally with attached Kaggle datasets), run benchmarks against LLM models, check task/run status, stream or fetch execution logs…
landing-ai/ade-document-processing-skills
Plugin Claude Code
Bundles 1 skill · 169 tokens together
Agent skill for LandingAI's Agentic Document Extraction (ADE): production-ready document AI with 99%+ accuracy. Parse, extract, and classify documents through the ADE REST APIs or the Python and TypeScript libraries, with full auditability and traceability.
Skill Codex
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-2.5-flash, agnes-video-2.5, and agnes-video-2.5-flash, write Python/Node/curl examples, debug…
Skill Codex
OCR scanned or image-only corpora with vision-language models in four phases: triage inventories the scans, identifies script and language, and shortlists models by script, hardware, and data constraints; evaluate picks a system by measured CER/WER against ground truth, using born-digital twins, a second reader, and…
pinecone-io/pinecone-claude-code-plugin
Plugin Claude Code
Bundles 9 skills, 1 command, 1 hook, 1 MCP server · 747 tokens together
Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explore indexes. Access the Pinecone MCP.
Plugin Claude Code
Bundles 2 skills, 1 agent · 185 tokens together
Search and manage a local lilbee knowledge base over MCP, with a worker agent for long operations.
Skill Claude CodeCodex
Generate a production-ready system prompt for a ForgeChat WhatsApp AI agent (order bot, booking bot, lead-capture bot, etc.) AND, when a ForgeChat MCP connector is available, build/configure that agent directly in ForgeChat over MCP. Use this skill WHENEVER the user wants to "write a prompt for an agent", "build a…
MCP server Claude CodeCodexCursor +2
OMOP CDM utils in Python. Runs locally from the pyomop Python package.
Cursor rule Cursor
This document provides a comprehensive guide to all input types available in Langflow. Each input type is designed for specific use cases and data formats.
Skill Claude CodeCodex
Use Google Gemini for image generation, text chat, file analysis, URL/YouTube analysis, and multi-turn conversations via MCP. Triggers on requests to generate images with Gemini, chat with Gemini, analyze files/URLs/videos with Gemini, use Gemini models, or when user asks to create/edit images and needs prompting…
Plugin Claude Code
Bundles 2 skills, 1 MCP server · 116 tokens together
Connect your agent to Dataiku: inspect projects, datasets, recipes, ML, and agents with typed MCP tools, and drive Dataiku Cobuild to build project-level assets.
Plugin Claude Code
Bundles 4 skills · 326 tokens together
Add checks and metrics to dlt pipelines — inspect schema for candidates, define column-level validations and load metrics, run them on every pipeline load, and review results with failure diagnosis.
MCP server Claude CodeCodexCursor +2
MCP server "mcp-ragdocs" as configured in rahulretnan/mcp-ragdocs. Runs locally from the @rahulretnan/mcp-ragdocs npm package.
Skill Claude CodeCodex
Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.
destinyfrancis/openclaw-knowledge-distiller
MCP server Claude CodeCodexCursor +2
A local knowledge-processing server that turns YouTube and Bilibili videos into structured knowledge articles. It uses speech recognition and AI summarisation to process the videos.
Skill Claude CodeCodex
Use when the user wants a real data analysis on a dataset — finding what drives a metric, testing whether a difference is real, building a predictive model, reducing many variables to a few, or interpreting what numbers mean for the business. Trigger phrases include "analyze this data", "what drives X", "is this…
Skill Claude CodeCodex
Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.
Zackriya-Solutions/MCP-Markdown-RAG
MCP server Claude CodeCodexCursor +2
MCP server "mcp-markdown-rag" as configured in Zackriya-Solutions/MCP-Markdown-RAG. Runs locally from the mcp-markdown-rag Python package.
Plugin Claude Code
Bundles 9 skills · 446 tokens together
Bundle-first Tapestry skill pack for crawling, organizing, and synthesizing web content into reusable feed and knowledge-base artifacts.
Snowflake-Labs/subagent-cortex-code
Skill Claude CodeCodex
Routes Snowflake-related operations to Cortex Code CLI for specialized Snowflake expertise. Use when the user asks about Snowflake databases, warehouses, schemas, tables, SQL on Snowflake, Cortex AI features, Snowpark, dynamic tables, streams, tasks, governance, or Snowflake security. Do not use for general…
Skill Claude CodeCodex
Converts a pretrained 2D CNN into a 3D CNN by recursively replacing Conv2d/BN2d/Pool2d layers and inflating kernel weights along the depth axis.
Skill Claude CodeCodex needs its repo
Builds document embedding pipelines with text chunking, embedding generation, indexing, and retrieval optimization. Use when users request "embedding pipeline", "document indexing", "text chunking", "RAG preprocessing", or "semantic indexing".
Skill Claude CodeCodex
This skill enables deep semantic and structural analysis of C/C++ codebases using a pre-built Neo4j GraphRAG. It provides insights into call chains, class hierarchies, macro causality, and type aliases.
saeedkolivand/ai-job-hunter-app
Skill Claude Code
Turn any folder of files into a navigable knowledge graph with community detection, an honest audit trail, and three outputs: interactive HTML, GraphRAG-ready JSON, and a plain-language GRAPHREPORT.md.
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: