CHENyiru3/AI-Skills-Collections

CHENyiru3/AI-Skills-Collections

Skill Claude Code

Delegate coding tasks to Claude Code (Anthropic's CLI agent). Use for building features, refactoring, PR reviews, and iterative coding. Requires the claude CLI installed.

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Delegate coding tasks to OpenAI Codex CLI agent. Use for building features, refactoring, PR reviews, and batch issue fixing. Requires the codex CLI and a git repository.

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Complete guide to using and extending Hermes Agent — CLI usage, setup, configuration, spawning additional agents, gateway platforms, skills, voice, tools, profiles, and a concise contributor reference. Load this skill when helping users configure Hermes, troubleshoot issues, spawn agent instances, or make code…

CHENyiru3/AI-Skills-Collections

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).

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Delegate coding tasks to OpenCode CLI agent for feature implementation, refactoring, PR review, and long-running autonomous sessions. Requires the opencode CLI installed and authenticated.

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Configure Zed editor settings, keybindings, agent profiles, and AI integrations. Use when modifying Zed configuration, setting up agent profiles such as plan mode, configuring language servers, themes, or AI models. Keywords: zed, editor, settings, keybindings, keymap, LSP, language server, theme, agent, configure…

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

PyTorch deep learning framework. Use for building neural networks, tensor operations, automatic differentiation, GPU acceleration, and custom model training. Best for custom deep learning models, research prototyping, and production deployment. For pre-trained transformers use transformers; for distributed training…

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

BitsAndBytes for quantization of LLMs. Use for 8-bit and 4-bit model quantization, mixed INT8 quantization, NF4 quantization, and memory-efficient LLM loading. Best for running large models on limited GPU memory. For model loading use transformers; for efficient fine-tuning use peft; for distributed training use…

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex needs its repo

Check Cursor usage, billing, and quota through the shared provider usage checker. Reuse local browser session cookies and call Cursor's authenticated usage APIs before considering any browser automation.

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Hugging Face Hub for model and dataset management. Use for downloading/uploading models, managing model repositories, browsing model cards, version control for models, and accessing datasets. Best for model management, sharing models, and downloading pre-trained assets. For model loading use transformers; for datasets…

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Use the MiniMax mmx CLI as a unified multimodal generation and utility tool. Use this skill whenever the user asks to use MiniMax, mmx, MiniMax CLI, or wants terminal-driven text chat, image generation, video generation, text-to-speech, music generation or covers, image understanding, web search, quota checks, or…

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

PEFT (Parameter-Efficient Fine-Tuning) for LoRA, QLoRA, and adapter methods. Use for fine-tuning large language models efficiently by training only a small number of parameters. Best for fine-tuning LLMs on limited GPU memory. For full fine-tuning use transformers; for RLHF use trl; for quantization use bitsandbytes.

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Hugging Face Transformers library. Use for working with pre-trained transformer models (BERT, GPT, Llama, etc.), text classification, named entity recognition, question answering, text generation, translation, summarization, and fine-tuning. Best for NLP tasks and LLM inference. For fine-tuning use peft or trl; for…

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

TRL (Transformer Reinforcement Learning) for SFT, RLHF, DPO training. Use for supervised fine-tuning, reward modeling, RLHF (PPO), and Direct Preference Optimization (DPO). Best for training instruction-following LLMs. For model loading use transformers; for efficient fine-tuning use peft; for quantization use…

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Hugging Face Accelerate for distributed training and mixed precision. Use for multi-GPU training, TPU support, mixed precision (FP16/BF16), gradient accumulation, and seamless scaling from laptop to cloud. Best for scaling PyTorch training across devices. For deep learning use pytorch; for fine-tuning use peft or trl.

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Hugging Face Datasets library for loading and processing datasets. Use for loading datasets from Hub, processing with map/batch, tokenization, train-test splits, caching, and memory-mapped datasets. Best for NLP and ML datasets. For model training use transformers; for loading from files use PyTorch DataLoader.

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

DeepSpeed for distributed deep learning training. Use for ZeRO optimization, mixed precision training, pipeline parallelism, and memory-efficient training of large models. Best for training very large models (7B+) and optimizing GPU memory. For training use pytorch or pytorch-lightning; for distributed use accelerate.

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex needs its repo

PyTorch Lightning for simplified training loops. Use for structured deep learning training, reducing boilerplate, built-in logging, multi-GPU/TPU support, and checkpointing. Best for research and production ML training. For deep learning use pytorch; for distributed use deepspeed or accelerate.

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Access NCBI GEO for gene expression/genomics data. Search/download microarray and RNA-seq datasets (GSE, GSM, GPL), retrieve SOFT/Matrix files, for transcriptomics and expression analysis.

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Human Cell Atlas data portal. Use for accessing single-cell reference datasets, cell type markers, and standard atlases.

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control.

CHENyiru3/AI-Skills-Collections

Skill Claude CodeCodex

Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies.