菜单
这个仓库中的 skills
SkillsMP 已收集 majiayu000/claude-skill-registry 中的 5,417 个 Skill。打开任一 Skill 可查看来源和详情。
majiayu000/claude-skill-registry已展示 40 / 5,417 个已收集 Skill。
FiftyOne dataset visualization and curation tool via Podman Quadlet. Multi-container architecture with MongoDB sidecar for dataset persistence. GPU-accelerated for ML workflows. Use when users need to configure, start, or manage FiftyOne for dataset analysis.
原文语言：英语
Model fine-tuning with PyTorch and HuggingFace Trainer. Covers dataset preparation, tokenization, training loops, TrainingArguments, SFTTrainer for instruction tuning, evaluation, and checkpoint management. Includes Unsloth recommendations.
原文语言：英语
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
原文语言：英语
Layer 5: Convergence to Equilibrium Analysis
原文语言：英语
Zero-shot univariate time series forecasting using the Reverso foundation model (NumPy/Numba CPU-only inference). Activate when users provide time series data and request forecasts, predictions, or extrapolations. Supports Reverso Small (550K params).…
原文语言：英语
Gemma Domain Trainer (Prototype)
原文语言：英语
Running batch inference on Google Cloud (also known as Vertex AI)
原文语言：英语
Generate speech from text using Google Gemini TTS models via scripts/. Use for text-to-speech, audio generation, voice synthesis, multi-speaker conversations, and creating audio content. Supports multiple voices and streaming. Triggers on "text to speech",…
原文语言：英语
Gemma Noise Detector (Prototype)
原文语言：英语
Genetic Algorithms for AI optimization - EvoPrompt, hyperparameter tuning, evolutionary strategies.
原文语言：西班牙语
Distributed object capability system (6.5K lines info).
原文语言：英语
Schmidhuber''s Gödel Machine: Self-improving systems that prove their
原文语言：英语
Use when creating or improving golden datasets for AI evaluation. Defines quality criteria, curation workflows, and multi-agent analysis patterns for test data.
原文语言：英语
Use when backing up, restoring, or validating golden datasets. Prevents data loss and ensures test data integrity for AI/ML evaluation systems.
原文语言：英语
Use when validating golden dataset quality. Runs schema checks, duplicate detection, and coverage analysis to ensure dataset integrity for AI evaluation.
原文语言：英语
Benchmark and compare small GPTs for task-specific inference. Tests base, fine-tuned, and prompted models against shared eval datasets. Finds minimum viable model, compares fine-tuned vs prompted, and generates reports.
原文语言：英语
This skill should be used when setting up, managing, or optimizing Grail miners on Bittensor Subnet 81. Use it for GRAIL protocol tasks including miner setup, R2 storage configuration, model checkpoint management, GRPO rollout generation, performance…
原文语言：英语
Implement graph neural networks with PyTorch Geometric for node, edge, and graph tasks
原文语言：英语
Comprehensive guide to creating, managing, and maintaining ground truth datasets for AI evaluation including annotation, quality control, and versioning
原文语言：英语
Group Relative Policy Optimization for reinforcement learning from human feedback. Covers GRPOTrainer, reward function design, policy optimization, and KL divergence constraints for stable RLHF training. Includes thinking-aware reward patterns.
原文语言：英语
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design,…
原文语言：英语
Phase genotypes into haplotypes using Beagle or SHAPEIT. Resolves which alleles are inherited together on each chromosome. Use when preparing VCF files for imputation, HLA typing, or population genetic analyses requiring phased haplotypes.
原文语言：英语
Execute Hugging Face Hub operations using the hf CLI. Covers authentication, downloading models and datasets, uploading files, repository management, cache operations, cloud compute jobs, inference endpoints, and Hub browsing. Use when the user needs to…
原文语言：英语
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata…
原文语言：英语
Import GGUF models from HuggingFace into Ollama. Pull models directly using the hf.co/ prefix, track download progress, and use imported models for inference.
原文语言：英语
Use Hugging Face Transformers for local model inference, embeddings, and fine-tuning. Covers pipelines, model selection, quantization, and optimization. Use when working with local LLMs, embeddings, or custom model training.
原文语言：英语
GPU-accelerated pipeline for detecting, tracking, and classifying humans in dashcam footage. This skill should be used when users need to extract human presence from videos, analyze dashcam footage for people detection, perform investigative analysis of human…
原文语言：英语
Generate and rank research ideas given a broad direction. Use when user says "找idea", "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions.
原文语言：英语
Analyze ML model architecture from papers and code. Use when understanding model structure for implementation.
原文语言：英语
Virtual gene knockout simulation using foundation models to predict transcriptional changes
原文语言：英语
∞-Operads for pairwise/tritwise Cat# interactions with lazy ACSet materialization unifying effective, realizability, and Grothendieck topoi via dendroidal Segal spaces.
原文语言：英语
Intent classification and mapping for natural language commands. Uses unsloth/transformers for ML-based intent detection with ArangoDB storage.
原文语言：英语
Measure preserved by the flow
原文语言：英语
JAX, Flax, Optax, and Equinox patterns for ML training. Covers JIT, vmap, pmap, TPU usage, and functional model design. Use when building or debugging JAX-based training pipelines.
原文语言：英语
Gay.jl integration for deterministic color generation. SplitMix64 RNG, GF(3) trits, and SPI-compliant fingerprints in Julia.
原文语言：英语
Julia package equivalents for 137 K-Dense-AI scientific skills. Maps Python bioinformatics, chemistry, ML, quantum, and data science packages to native Julia ecosystem.
原文语言：英语
KEGG pathway and module enrichment analysis using clusterProfiler enrichKEGG and enrichMKEGG. Tests whether KEGG pathways are over-represented in a gene list. Supports 4000+ organisms via KEGG online database.
原文语言：英语
KI-Governance-Plugin erstmalig einrichten oder Inventar der KI-Systeme im Unternehmen erfassen und AI-Act-Anwendungsbereich prüfen. Führt Erstgespraech durch ermittelt KI-Inventar Rolle im KI-Lieferkette (Anbieter/Betreiber Art. 3 KI-VO 2024/1689)…
原文语言：德语
KI-VO Betreiber-Pflichten für Kanzleien erlaeutern und umsetzen: Anwendungsfall Kanzlei als Betreiber von KI-Diensten muss Pflichten nach EU AI Act kennen und in Richtlinie umsetzen. Art. 3 Nr. 4 KI-VO Betreiber-Definition, Art. 4 KI-VO KI-Kompetenz-Pflicht,…
原文语言：德语
Kolmogorov complexity as the ultimate intelligence measure. Shortest
原文语言：英语