13,658 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.
Write, optimize, review, and structure prompts for AI assistants (Claude, ChatGPT, Codex, Claude Code, agents). Use this skill whenever the user asks to write a prompt, optimize a prompt, fix/improve a prompt, review a prompt, turn a vague request into a reusable prompt, design system prompts / task instructions for…
Audit and optimize agentic systems — review agents, tool loops, and inference requests across prompt engineering, tools, context, cache, evaluation, and guardrails; rewrite prompts using Anthropic best practices.
★not rated 11 22d agoA
tokens not measured
originalMIT
Explain the Phoenix ML model architecture for X recommendations. Use when users ask about embeddings, transformers, how predictions work, or ML model details.
Prepare a Linux server with NVIDIA GPUs for LLM and neural-network workloads: NVIDIA driver + CUDA from the official repo, Docker Engine + NVIDIA Container Toolkit as the mandatory base, GPU passthrough into containers, staged verification gates, optional docker-compose presets for vLLM, Infinity, OpenWebUI and Ollama.
★not rated 11 28d agoA
tokens not measured
originalMIT
MCP server giving Claude Code cross-language understanding of PyTorch (Python -> C++ -> CUDA): binding-chain tracing, impact analysis, dispatch mapping, call graphs, and test discovery.
★not rated 11 yesterdayA
tokens not measured
originalMIT
Skills for using and authoring fused-render: running the local explorer and opening views, authoring HTML pages with a fused.runPython() bridge to local Python, URL-synced params, file IO helpers, custom preview templates, the machine-wide file index, the AI API (fused.ai text/streaming, local models, image…
★not rated 11 todayA
tokens not measured
originalMIT
Load for any work involving Baseten - deploying/operating models on Dedicated Inference (Truss, custom Docker servers, TRT-LLM engines, Chains), calling hosted Model APIs, running Training jobs (SFT/RL/LoRA), or Model Frontier Gateway.
A workflow for explaining artificial-intelligence terms and relationships as small-screen Xiaohongshu knowledge cards and diagrams. Xiaohongshu is a social platform where people commonly share visual posts.
Saves 20-40% of LLM tokens by teaching the agent to write compressed responses, compressed memory logs, and compressed pre-compaction summaries. Works via SOUL.md instructions — no hooks, no extra process, no dependencies. Also provides explicit compression when the user asks to compress a prompt. Use when the user…
A local image-analysis tool for AI agents that cannot see images. It turns screenshots and document images into text, OCR coordinates, or structured descriptions of visual elements and page layout.
A prompt-writing template that turns a rough goal, task, idea, or Chinese request into a clear instruction for an AI agent. It can also produce a persistent /goal prompt when requested.
Build, run, and debug the one-level rmsnormbinary kernel (R-split RMSNorm) with SuperNPUBench + runop.py + gfrun/gfsim precision checks. Use when editing rmsnormbinarypto.hpp, rmsnormbinary tests, workspace/GetCacheId reduce, TADD cross-tile sum, or verifying [16,16384] fp16 binary RMSNorm. Shape dims are A (outer)…
A prompt-based role-playing skill that makes an AI answer in the thinking style and voice associated with Qian Xuesen, a Chinese aerospace scientist and systems-engineering pioneer.
Help users work with TROPT — the Textual Trigger Optimization Toolbox (https://github.com/matanbt/TROPT) for optimizing discrete text triggers that elicit specific behaviors from NLP models. The core job is helping users run, compose, and extend TROPT: invoking a Recipe Hub entry, swapping loss/optimizer/model in an…
Use when a user wants to create, draft, improve, rewrite, or optimize a prompt for a general-purpose AI, especially when the request is vague, incomplete, or needs multi-turn clarification.
A Chinese-language guide for writing prompts for ERNIE-Image, Baidu's image-generation model. It provides prompt templates and rules based on examples from the model's official prompt site.
A Chinese-language question-and-answer guide for Ascend inference repositories, which are software projects for running machine-learning models on Huawei Ascend hardware. It covers vLLM, MindIE, and related projects with evidence-based technical answers.
Guide an idea into a generation-ready MiniMax H3 / Hailuo H3 prompt or diagnose an inspected H3 output. Use for T2VA, I2VA, FL2VA, L2VA, or Ref2VA; text-only PV and kinetic type, Motion Design/MG, packaging and transitions, product/UI/game/MV/title work, localized reality-to-hand-drawn edits, audio/timbre reference…
★not rated 11▲
+1 28d agoA161 tokens
originalMIT
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