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.
Run mykg knowledge-graph commands inside Claude Code from one slash command /mykg. The user describes intent in natural language (extract, append, sync, resume, approve, walkthrough, parse-docs, fetch-web, query); the skill parses intent, builds the right mykg CLI command from the live --help output, confirms, runs…
Use this skill to bring any vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors export, TRT engine build, custom nvinfer bbox parser, multi-stream benchmark, and PDF report. Object detection models only.
Comprehensive toolkit for developing with the CocoIndex library. Use when users need to create data transformation pipelines (flows), write custom functions, or operate flows via CLI or API. Covers building ETL workflows for AI data processing, including embedding documents into vector databases, building knowledge…
Design ObjectStack AI skills, tools, knowledge sources, and the open-edition MCP server surface. Use when the user is adding .skill.ts / .tool.ts, configuring an LLM provider, wiring the tools a skill grants, or indexing ObjectStack data as a knowledge source for RAG. Agents themselves are platform-internal (ask /…
Install, configure, diagnose or explicitly operate Token Router's local CLI. Everyday log retrieval uses its connected readpytestfailures tool directly; this guide is for setup and manual requests.
Run a Meta-Harness-style optimization loop NATIVELY — automatically search over the scaffolding around a FIXED base model (memory, retrieval, context construction, prompt templates, summarization, tool-selection logic) by proposing candidate variants, scoring each on a cheap deterministic eval, and keeping a Pareto…
Run a fine-tuning run for the OpenAdmin model tiers (8B Ministral, 20B gpt-oss) on a rented RunPod GPU, from renting the pod through evaluation and the release decision. Invoke when starting, resuming, or deciding the outcome of a training run, when adding training data for these models, or when choosing whether a…
This skill should be used when writing or tuning Triton GPU kernels, including autotuning block sizes, coalesced accesses, tiled matmul, fused ops, reductions, flash-attention style kernels, quantization, custom gradients, and profiling.
Model Context Protocol server for Venice.ai — uncensored, private, crypto-native AI inference for Claude, ChatGPT, Cursor and any MCP host. Community-maintained. Provided as-is, with no warranty or SLA from Venice AI. Use at your own risk. Runs locally from the @veniceai/mcp-server npm package.
Primary W&B skill for broad or mixed Weights & Biases work: project overviews, W&B runs and artifacts, Weave traces and evaluations, Reports, Workspaces, Automations, Sweeps, Launch, and Agent Lens. Use when the task spans multiple W&B surfaces or the user asks generally what is happening in a W&B project.
Get guidance for integrating video, image and audio generation with the Runway API and official SDKs. Connect to your Runway Dev account to inspect available models and task errors, manage Model Routers and live avatars, and inspect recorded routing decisions.
★not rated 74
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Use when converting OHLCV alpha ideas into QuantSkills organization factor Skills, batch-generating non-duplicate framework-neutral quant factor Skill folders, validating them on cached real market data such as AkShare A-share and Yahoo US data, and writing factor evaluation reports.
Use when a user wants an agent to use docs through OKFy, set up or verify an OKFy MCP docs source, convert docs websites or local Markdown into OKF bundles, generate activation proof, or answer from an existing OKFy bundle/workspace.
A video-understanding and question-answering tool based on a DeepSeek vision model. It can examine videos such as recordings, surveillance footage, games, films, or animations and refer to events with timestamps.
Add Arize AX observability to LLM applications — auto-instrumentation, trace export, dataset management, experiment workflows, prompt optimization, deep linking, and migrations from Langfuse, LangSmith, and Braintrust via the ax CLI.
Cognitive superposition synthesizing Riehl (∞-categories), Sutskever (compression), Schmidhuber (curiosity-driven), and Bengio (GFlowNets) into unified ASI framework with quantum-inspired measurement collapse.
Omega Reasoning Protocol — changes how the LLM thinks. Three principles: FORCING (what is structurally inevitable), MINIMIZE (remove assumptions until something breaks), AUDIT (every conclusion traceable to premises). Searches github.com/the-omega-institute/automath for structural correspondences. Use when: deep…
Train, evaluate, and use Cherimoya sequence-to-function genomic models with the cherimoya command-line tools or Python API. Use when a user wants to run the end-to-end pipeline, use a trained model to do downstream tasks, or troubleshoot a run. Designed for users who may be new to Cherimoya or to sequence modeling…
MCP server "mcp-rag-server" as configured in karaage0703/mcp-rag-server. Runs locally from the mcp-rag-server Python package.
★not rated 71 1y agoA
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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: