TokenOracle

Hosted MCP server for LLM cost estimation, model comparison, and budget-aware routing.

swift-mlx-lm

MLX Swift LM - Run LLMs and VLMs on Apple Silicon using MLX. Covers local inference, streaming, wired memory coordination, tool calling, LoRA fine-tuning, embeddings, and model porting.

AI Jury

Convene a panel of native coding-agent CLIs from **different vendors** to review the same change, debate each other's findings, and produce one consolidated verdict. This is multi-model review where each agent runs in its own native CLI (with its own tooling), not API-level prompting.

Io.Github.Echoqili/Ssh Licco

SSH Model Context Protocol Server - Enable SSH functionality for AI models

用 AI agent 赚钱 / agent 商业化 (创业 + 副业 + 咨询 + indie hacker) · Master OS

> This skill makes the agent operate as a senior Monetizing AI agents — building businesses (B2B SaaS / B2C tools / consulting / indie hacker / API arbitrage) around AI agent products and services practitioner — applying the field's mental models, picking the right tools, knowing the current wor

cascadeflow

OpenClaw-native domain cascading. Use when users need cost/latency reduction via cascading, domain-aware model assignment, OpenClaw-native event handling, and command setup including /model cflow and optional /cascade stats commands.

Cross-Model Review (Claude reviews Codex)

After Codex completes development and local validation passes, invoke the local Claude CLI for heterogeneous-model review. Different models have different blind spots; cross-model review surfaces issues that self-review cannot catch.

Io.Github.Whale Professor/Mcp Server 3daistudio

MCP server for 3D AI Studio — generate 3D models from text or images using Hunyuan and TRELLIS

aws-cdk

Provides AWS CDK TypeScript patterns for defining, validating, and deploying AWS infrastructure as code. Use when creating CDK apps, stacks, and reusable constructs, modeling serverless or VPC-based architectures, applying IAM and encryption defaults, or testing and reviewing `cdk synth`, `cdk diff`, and `cdk deploy` changes. Triggers include "aws cdk typescript", "create cdk app", "cdk stack", "cdk construct", "cdk deploy", and "cdk test".

Transkribus

MCP server for the Transkribus REST API — collections, documents, HTR/OCR, and models.

add-chat-model

Add a new chat model id to @aituber-onair/chat and wire it through constants, provider implementation, tests, example UI selector, docs, and versioning updates. Use when requests include adding a new model, supporting a specific model id, adding a provider model, or updating supported models for providers such as claude, gemini, and openai.

alpha-insights

Business Analyst Skill. Triggered when users ask about business analysis, industry research, competitive analysis, product analysis, business model analysis, business opportunity discovery, market entry strategy, investment decisions, strategic planning, due diligence, and other strategic topics. Delivers in-depth, decision-grade HTML research reports through a seven-stage workflow (Briefing → Framing → Planning → Research → Insights → Report → Iteration).

pydantic-evals

Test and evaluate AI agents and LLM outputs using code-first evaluation framework with strong typing. Use when the user wants to: (1) Create evaluation datasets with test cases for AI agents, (2) Define evaluators (deterministic, LLM-as-Judge, custom, or span-based), (3) Run evaluations and generate reports, (4) Compare model performance across experiments, (5) Integrate evaluations with Pydantic AI agents, (6) Set up observability with Logfire, (7) Generate test datasets using LLMs, (8) Implement regression testing for AI systems.

hunt-analytics-generation

Generate query-agnostic analytics that model adversary behavior by translating hunt investigative intent into analytic definitions grounded in schema semantics. This skill is used to define how behavior should manifest in data before query execution or validation, and works best when informed by system internals, adversary tradecraft, a structured hunt focus, and suggested data sources.

cuda-kernels

Provides guidance for writing and benchmarking optimized CUDA kernels for NVIDIA GPUs (H100, A100, T4) targeting HuggingFace diffusers and transformers libraries. Supports models like LTX-Video, Stable Diffusion, LLaMA, Mistral, and Qwen. Includes integration with HuggingFace Kernels Hub (get_kernel) for loading pre-compiled kernels. Includes benchmarking scripts to compare kernel performance against baseline implementations.

rails-audit-thoughtbot

Perform comprehensive code audits of Ruby on Rails applications based on thoughtbot best practices. Use this skill when the user requests a code audit, code review, quality assessment, or analysis of a Rails application. The skill analyzes the entire codebase focusing on testing practices (RSpec), security vulnerabilities, code design (skinny controllers, domain models, PORO with ActiveModel), Rails conventions, database optimization, and Ruby best practices. Outputs a detailed markdown audit report grouped by category (Testing, Security, Models, Controllers, Code Design, Views) with severity levels (Critical, High, Medium, Low) within each category.

Mcp Server Tauri

A Model Context Protocol server for use with Tauri v2 applications

Io.Github.Cap Js/Mcp Server

Model Context Protocol (MCP) server for AI-assisted development of CAP applications.

ai-llm-security-review

Use for AI/LLM security assessments, prompt injection, RAG security, agent/tool permissioning, model supply chain, LLM red teaming, AI governance, eval design, data leakage, jailbreak testing, and secure AI application review.

Io.Github.MetriLLM/Metrillm

Benchmark local LLM models — speed, quality & hardware fitness verdict from any MCP client

Io.Github.Mongodb Js/Mongodb Mcp Server

MongoDB Model Context Protocol Server

句模口语系统 (Oral Sentence Model)

你是一个帮助用户系统性地构建英语口语表达素材的助手。核心理念：**不是让用户死记硬背零散短句，而是围绕话题生成高质量长句（句模），通过拆解复用和跨话题联动，搭配复述法练习内化，搭建可自由拼贴的口语表达生æ

风格建模专家 (Style Modeler)

banana

AI image generation Creative Director powered by Google Gemini Nano Banana models. Use this skill for ANY request involving image creation, editing, visual asset production, or creative direction. Triggers on: generate an image, create a photo, edit this picture, design a logo, make a banner, visual for my anything, and all /banana commands. Handles text-to-image, image editing, multi-turn creative sessions, batch workflows, and brand presets.

product-architect

Complete product development system with 31 specialized agents and 23 frameworks. Use when user asks to build a product, write a PRD, create a roadmap, plan an MVP, design an app, do a security audit, create a financial model, plan hiring, launch a product, set up operations, prepare for IPO, or write a compliance policy. Also triggers on help me plan, product strategy, go-to-market, fundraising, pitch deck, unit economics, competitive analysis, user personas, sprint planning, SOP, checklist for, or how do I start a company. Do NOT use for general knowledge questions, coding tutorials, or creative writing unrelated to product development.

claw-orchestrator

Manage persistent coding sessions across Claude Code, Codex, Gemini, and Cursor engines. Use when orchestrating multi-engine coding agents, starting/sending/stopping sessions, running multi-agent council collaborations, cross-session messaging, ultraplan deep planning, ultrareview parallel code review, or switching models/tools at runtime. Triggers on "start a session", "send to session", "run council", "ultraplan", "ultrareview", "switch model", "multi-agent", "coding session", "session inbox", "cursor agent".

Mcp Server Chart

A Model Context Protocol server for generating charts using AntV.

loro

Comprehensive guide for using Loro across document modeling, synchronization, versioning, rich text editors, app-state mirroring, performance tradeoffs, and wasm bindings. Use when Codex needs to work with `loro-crdt`, `loro`, `loro-prosemirror`, `loro-mirror`, or `crates/loro-wasm` for: (1) Choosing CRDT container types and document structure, (2) Designing sync, persistence, checkout, or history workflows, (3) Integrating rich-text editors and stable selections, (4) Mirroring app state with schemas and React, (5) Reasoning about versions, events, import status, or Inspector output, or (6) Maintaining the WASM binding layer.

transform

Use this to author and change a dbt project: bootstrap a new dbt project in a repo that has none (`transform init`), write or refactor dbt model SQL from staging to marts, add tests and docs in schema.yml, manage dependencies, and define or update the semantic layer (dbt semantic models / MetricFlow: entities, dimensions, measures, metrics). Trigger it for requests like "set up a dbt project in this repo", "build a staging model for this table", "refactor this model", "add tests to this model", "create a mart for X", "define a revenue metric", or "add a dimension to this entity". Every change is a reviewable diff to the dbt project; any warehouse build is dev-target only, gated, and cost-surfaced first. Do not use it to explore or profile a warehouse (use explore) or to detect drift and reconcile a project that has fallen out of sync (use maintain).

mental-models

Apply Charlie Munger's latticework of 98 mental models to any problem. Use when user requests decision analysis, says "help me think", "apply mental model", mentions model names (inversion, bottlenecks, second-order thinking), or needs structured thinking frameworks.

Tuning Engines

Domain-specific LLM fine-tuning — sovereign models trained on your data, zero infrastructure.

Umbrela Eval

Analyze and compare umbrela evaluation results across backends, models, and configurations.

3-statement-model

Complete, populate and fill out 3-statement financial model templates (Income Statement, Balance Sheet, Cash Flow Statement) . Use when asked to fill out model templates, complete existing model frameworks, populate financial models with data, complete a partially filled IS/BS/CF framework, or link integrated financial statements within an existing template structure. Triggers include requests to fill in, complete, or populate a 3-statement model template

Datawrapper

A Model Context Protocol (MCP) server and app for creating Datawrapper charts using AI assistants

AgentDM

Agent-to-agent messaging platform using MCP for cross-model communication.

synapse

Codex-led multi-model workflow (Codex + Claude + Gemini). Use when the user asks to run `synapse <cmd> ...` to generate draft diffs/audits and persist artifacts to `./.synapse/**`.

AutoTS

Automated time series forecasting with model search, anomaly detection, and event risk analysis

trl-training

Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). Supports SFT, DPO, GRPO, KTO, RLOO and Reward Model training via CLI commands.

Whisper Mcp

Local audio transcription using whisper.cpp. Transcribe with OpenAI Whisper models.

Katalon TestOps MCP

Katalon TestOps Model Context Protocol (MCP) server

rlm

Run a Recursive Language Model-style loop for long-context tasks. Uses a persistent local Python REPL and an rlm-subcall subagent as the sub-LLM (llm_query).

ai-image-generator

Generate AI images using Gemini or GPT APIs directly. Covers model selection (Gemini for scenes, GPT for transparent icons), the 5-part prompting framework, API calling patterns, multi-turn editing, and quality assurance. Produces photorealistic scenes, icons, illustrations, OG images, and product shots. Use when building websites that need images, creating marketing assets, or generating visual content. Triggers: 'generate image', 'ai image', 'create hero image', 'make an icon', 'generate illustration', 'create og image', 'ai art', 'image generation'.

HackMD

A Model Context Protocol server for integrating HackMD's note-taking platform with AI assistants.

Inconvo CLI — Semantic Model Skill

Use this skill when you need to update an agent semantic model or user-context from code context. This repository uses a CLI-only mutation workflow.

Google Sheets Mcp

Powerful tools for automating Google Sheets using Model Context Protocol (MCP)

lazyllm-skill

LazyLLM framework for building multi-agent AI applications. Use when task mentioned LazyLLM or AI program for: (1) Flow orchestration - linear, branching, parallel, loop workflows for complex data pipelines, (2) Model fine-tuning and acceleration - finetuning LLMs with LLaMA-Factory/Alpaca-LoRA/Collie and acceleration with vLLM/LMDeploy/LightLLM. Includes comprehensive code examples for all components, (3) RAG systems - knowledge-based QA with document retrieval, vectorization, and generation, (4) Agent development - single/multi-agent systems with tools, memory, planning, and web interfaces.

admet-prediction

Predict comprehensive ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) properties for drug candidate molecules using GraphMVP ensemble models. Use this skill when: (1) Predicting blood-brain barrier penetration, (2) Assessing side effect profiles, (3) Estimating Caco-2 permeability, half-life, or LD50 toxicity, (4) Evaluating drug-likeness and safety of molecules.

Io.Github.Inflectra/Mcp Server Spira

A Model Context Protocol (MCP) server enabling AI assistants to interact with Spira by Inflectra.

Evaluation framework for LLM knowledge inputs — prompts, RAG corpora, skills, agent workflows. Fix the model, vary the artifact. Built-in statistical rigor: bootstrap CI, Krippendorff α, length-debias, saturation curves.

hf-mem

CLI to estimate the required memory to load either Safetensors or GGUF model weights for inference from the Hugging Face Hub