13,728 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.
Health-check the LLM Wiki and offer fixes for each category of finding. Use when the user says "lint the wiki", "audit the wiki", "check wiki health", "clean up the wiki", or after a batch of ingests. Categories covered - orphans, broken links, stale sources, missing pages, tag drift, index parity.
Build, debug, and optimize applications using the Anthropic Claude API and official SDKs. Covers single API calls, tool use, streaming, prompt caching, vision/multimodal, extended thinking, batch processing, and managed agents. Use when writing code that imports the anthropic SDK, working with Claude models (Opus…
Guide for drafting, revising, and evaluating BrainLifts: AI-ready knowledge documents that move from purpose and scope to experts, DOK 2 knowledge trees, DOK 3 insights, and DOK 4 spiky points of view. Use when asked to create a BrainLift, improve BrainLift writing style, transform notes or research into structured AI…
A team workflow for solving mathematical modelling problems with code, including analysis, model selection, computation, plots, and reproducibility notes.
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams.
★not rated 7▲
+1 2mo agoA
tokens not measured
originalMIT
Use when publishing a HuggingFace dataset export for the Ceres Open Data Index. Covers the full workflow — data quality checks, Parquet export, snapshot manifest, coverage/quality reports, snapshot changelog, README dataset card update, versioning, and push to HuggingFace.
Build a clean, point-in-time, ready-to-backtest OHLCV dataset for a US equity universe across an arbitrary date window. Emits parquet plus a manifest plus an edge-case log, with corporate actions reconciled, survivorship treatment documented, holidays and half-days preserved correctly, and any IPO partial coverage or…
Use when builds data transformation flows on top of cocoindex — a Python framework with a Rust engine for ultra-performant, incremental data indexing (ETL, RAG ingestion, knowledge graphs, vector search). Covers the flow-building public API: FlowBuilder, DataScope, DataSlice, Flow, FlowLiveUpdater, sources, targets…
MCP server and agent skills for the Truesight AI quality platform. Score inputs, build evaluations, analyze errors, and review results through natural language.
★not rated 7 5mo agoA
tokens not measured
originalMIT
A retrieval architecture that pre-projects sources to task domains at ingestion time. Runtime becomes lookup, not reshape. Ships skills for ingesting sources under a 9-pass source-only protocol, retrieving via two-layer indexes (corpus catalogue + per-task distillation indexes), and a PreToolUse hook that enforces…
★not rated 7 yesterdayA
tokens not measured
originalMIT
Prompt engineering workbench with a Lean persona layer that cuts LLM output size, cost, and latency. Injects the Lean ruleset every session via SessionStart + SubagentStart hooks.
★not rated 7
changed 8d agoA
tokens not measured
originalApache-2.0
Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
Query and manage the Cogniac computer vision platform. Use when working with Cogniac tenants, applications, subjects, media, EdgeFlow/CloudFlow appliances, cameras, deployments, or workflows — including uploading media, checking fleet status, reading aggregate stats, or monitoring EdgeFlow/CloudFlow clusters. Triggers…
Use this skill when asked to create, refine, analyze, or optimize prompts for Large Language Models (LLMs). This skill ensures adherence to prompt engineering best practices and enforces a rigorous design workflow.
MCP server "mcp-florence2" as configured in jkawamoto/mcp-florence2. Launched with https://github.com/jkawamoto/mcp-florence2/releases/download/v0.4.0/mcp-florence.
★not rated 7 3d agoA
tokens not measured
originalMIT
MCP server "qdrant-neo4j-crawl4ai-mcp" as configured in BjornMelin/qdrant-neo4j-crawl4ai-mcp. Runs locally from the qdrant-neo4j-crawl4ai-mcp Python package.
★not rated 7 1y agoA
tokens not measured
originalMIT
MCP server "togetherai-image-server" as configured in stefanskiasan/togetherai-image-mcp-server. Runs locally from the togetherai-image-server npm package.
★not rated 7 1y agoA
tokens not measured
originalMIT
RAG knowledge base server with ChromaDB and MCP interface. Runs locally from the candlekeep Python package.
★not rated 7 2mo agoA
tokens not measured
GPL-3.0
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: