halflifezyf2680/Skill-Shelf

4Stars on the repository
248Mods indexed here, across every type
7d agoLast push, which is what freshness is scored on
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halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

A Godot 4 specialist for building real-time multiplayer games, where several players interact in the same game session. It covers how game state is shared, how players communicate, and how the server controls the game.

not rated 4 7d ago A 43 tokens

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

A Godot 4 specialist for creating visual effects with shaders, which are small programs that control how game objects are drawn. It covers both 2D and 3D effects, including screen-wide post-processing.

not rated 4 7d ago A 57 tokens

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

A Roblox development skill for writing Luau scripts and designing the platform's client-server model, events, data storage, and reusable modules.

not rated 4 7d ago A 50 tokens

技术美术

172

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

A technical-art skill for game development, covering shaders, visual effects, level-of-detail pipelines, performance budgets, and asset optimisation across game engines.

not rated 4 7d ago A 36 tokens

Unity 架构师

173

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

A Unity architecture skill for building modular, data-driven projects with reusable data assets and components that each have a focused responsibility.

not rated 4 7d ago A 39 tokens

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

An Unreal Engine skill for building multiplayer games with replicated actors, server-authoritative gameplay, network prediction, and dedicated servers.

not rated 4 7d ago A 44 tokens

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

An Unreal Engine systems skill for performance-focused projects using C++, visual scripting, modern geometry and lighting systems, and gameplay ability tools.

not rated 4 7d ago A 49 tokens

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to…

not rated 4 7d ago A 115 tokens

Backend Architect

178

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

Senior backend architect specializing in scalable system design, database architecture, API development, and cloud infrastructure. Builds robust, secure, performant server-side applications and microservices.

not rated 4 7d ago A 34 tokens

halflifezyf2680/Skill-Shelf

Skill Claude Code

Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown + mermaid), 24 diagram type references, and 9 document templates.

not rated 4 7d ago A 60 tokens

markitdown

180

halflifezyf2680/Skill-Shelf

Skill Claude Code

Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.

not rated 4 7d ago B 53 tokens

mcp-builder

181

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

not rated 4 7d ago A 61 tokens

modal

182

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

Cloud computing platform for running Python on GPUs and serverless infrastructure. Use when deploying AI/ML models, running GPU-accelerated workloads, serving web endpoints, scheduling batch jobs, or scaling Python code to the cloud. Use this skill whenever the user mentions Modal, serverless GPU compute, deploying ML…

not rated 4 7d ago A 123 tokens

optimize-for-gpu

183

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. Use whenever the user mentions GPU/CUDA/NVIDIA acceleration, or wants to speed up NumPy, pandas, scikit-learn, scikit-image, NetworkX, GeoPandas, or Faiss workloads. Covers physics…

not rated 4 7d ago A 184 tokens

parallel-web

184

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

All-in-one web toolkit powered by parallel-cli, with a strong emphasis on academic and scientific sources. Use this skill whenever the user needs to search the web, fetch/extract URL content, enrich data with web-sourced fields, or run deep research reports. Covers: web search (fast lookups, research, current info …

not rated 4 7d ago C 197 tokens

pdf

185

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and…

not rated 4 7d ago A 92 tokens

polars

186

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

not rated 4 7d ago A 69 tokens

pptx

187

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying…

not rated 4 7d ago A 152 tokens

pufferlib

188

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or…

not rated 4 7d ago A 78 tokens

pymoo

189

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.

not rated 4 7d ago A 46 tokens

pytorch-lightning

190

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.

not rated 4 7d ago A 65 tokens

halflifezyf2680/Skill-Shelf

Skill Codex

Build interactive technical infographic websites with React. Use when Codex needs to create or iterate on Vite or React frontends for architecture explainers, product method pages, interactive diagrams, evidence filters, timelines, dashboards, or motion-infographic style web pages. Includes a Vite infographic template…

not rated 4 7d ago A 68 tokens

scikit-learn

192

halflifezyf2680/Skill-Shelf

Skill Claude CodeCodex

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for…

not rated 4 7d ago A 68 tokens

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: