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.
Entry point for KeiRouter — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch. Use when the user mentions KeiRouter, KEIROUTERURL, or wants AI without writing provider boilerplate. This skill covers setup + indexes capability skills; fetch the relevant…
Judges whether a user's input suits the Vibe Creating style of video-prompt writing, and when it does, distills single-scene prompts, multi-shot descriptions, emotional imagery, or mixed input into prompts that are easier for a video model to generate from — while preserving any user-specified dialogue, voiceover…
Fine-tune a DPA3 model in DeePMD-kit using the PyTorch backend. Use when the user wants to adapt a pre-trained DPA3 model to a new downstream dataset. Supports fine-tuning from a self-trained DPA3 model (.pt checkpoint), from a multi-task pre-trained model, or from a built-in pretrained model downloaded via dp…
A skill for writing prompts for Seedance 2.0, a video-generation model. It creates 15-second, single-shot product-animation prompts in Apple, Microsoft, Bauhaus, or Vercel-inspired visual styles, with support for reference images.
Build production-grade AI agents with Pydantic AI — tools, capabilities, structured output, streaming, and testing patterns — and port existing agents over from LangChain, the OpenAI Agents SDK, Google ADK, Mastra, Agno, Pi, the Claude Agent SDK, and the Vercel AI SDK.
OpenZIM MCP - ZIM MCP Server that enables AI models to access and search ZIM format knowledge bases offline. Runs locally from the openzim-mcp Python package. Needs 1 environment variable to run.
★not rated 149▲
+1 yesterdayA
tokens not measured
originalMIT
Run a bounded TileLang implementation and optimization task from a PyTorch reference or existing kernel through baseline analysis, a written plan, candidate edits, lowering inspection, validation, measurement, and promotion. Use for iterative kernel work and reproducible handoffs; use a specialist directly for a…
Build an OKF (Open Knowledge Format) knowledge base from any YouTube channel. Uses Google's OKF standard so any AI can read the output with zero setup. Uses Supadata (managed API, paid). Invoke with /channel-to-kb-supadata @ChannelHandle.
A workflow that turns a local short video into a structured Chinese prompt for AI video-generation tools. It examines the visuals, movement, camera work, and audio rhythm, while avoiding invented details when frames are unclear.
Write prompts, system instructions, agent directives, slash commands, and skill descriptions using two stacked layers — outcome-first (define the destination, success criteria, stopping condition) plus directional language (every sentence names the path with positive verbs). Triggers when writing or reviewing any…
A runbook for replaying past data through Dagster pipelines, which are scheduled workflows for processing data. It describes how to use the project’s `dg launch` commands and shared backfill jobs.
Analyze, benchmark, diagnose, and optimize large-model inference deployments from hardware inventory, model details, workload traces, and latency or throughput SLOs. Use when Codex needs to tune SGLang launch parameters, run bounded single-host GPU experiments, plan deployment topology, inspect GPU or CPU profiles…
Profile, benchmark, debug, and optimize AI training workloads on Moore Threads MUSA GPUs while preserving numerical behavior. Use for Torch MUSA, MTT GPUs, mthreads-gmi, Moore Perf System (msys), Moore Perf Compute (mcu), MFU/HFU, FlashAttention/FA2, SDPA, torch.compile, FSDP/FSDP2, MCCL, distributed hangs, low-batch…
Bulk-import a large RDF graph (code graph, corpus, GitHub history, etc.) into a DKG node's working memory. Use this skill when you need to push more than a few thousand triples in a single import — it codifies the chunking budgets, the assertion-loop shape, the resumability manifest, and the canonical URI rules so…
Coralogix AI Center — observe, evaluate, and guard GenAI/LLM applications and agents. Use for questions or actions about the user's AI/GenAI applications or agents — their behavior, prompts/responses, chats, quality, hallucinations, guardrails, cost/tokens, evaluations/policies, model pricing or comparing or tracking…
A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context. Runs locally from the @qpd-v/mcp-server-ragdocs npm package.
★not rated 136 1y agoA
tokens not measured
originalApache-2.0
A tool for running Python code in an isolated environment. Python is a programming language often used for calculations, data processing, file-format conversion, and preparing chart data.
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. This skill teaches effective use of…
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