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Skills في هذا المستودع
جمع SkillsMP عدد ٥٬٤١٧ من skills من majiayu000/claude-skill-registry. افتح أي skill لمراجعة مصدره وتفاصيله.
majiayu000/claude-skill-registryعرض ٤٠ من أصل ٥٬٤١٧ skills مجمعة.
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.
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
لغة النص الأصلي: الإنجليزية
Layer 5: Convergence to Equilibrium Analysis
لغة النص الأصلي: الإنجليزية
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).…
لغة النص الأصلي: الإنجليزية
Gemma Domain Trainer (Prototype)
لغة النص الأصلي: الإنجليزية
Running batch inference on Google Cloud (also known as Vertex AI)
لغة النص الأصلي: الإنجليزية
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",…
لغة النص الأصلي: الإنجليزية
Gemma Noise Detector (Prototype)
لغة النص الأصلي: الإنجليزية
Genetic Algorithms for AI optimization - EvoPrompt, hyperparameter tuning, evolutionary strategies.
لغة النص الأصلي: الإسبانية
Distributed object capability system (6.5K lines info).
لغة النص الأصلي: الإنجليزية
Schmidhuber''s Gödel Machine: Self-improving systems that prove their
لغة النص الأصلي: الإنجليزية
Use when creating or improving golden datasets for AI evaluation. Defines quality criteria, curation workflows, and multi-agent analysis patterns for test data.
لغة النص الأصلي: الإنجليزية
Use when backing up, restoring, or validating golden datasets. Prevents data loss and ensures test data integrity for AI/ML evaluation systems.
لغة النص الأصلي: الإنجليزية
Use when validating golden dataset quality. Runs schema checks, duplicate detection, and coverage analysis to ensure dataset integrity for AI evaluation.
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
Implement graph neural networks with PyTorch Geometric for node, edge, and graph tasks
لغة النص الأصلي: الإنجليزية
Comprehensive guide to creating, managing, and maintaining ground truth datasets for AI evaluation including annotation, quality control, and versioning
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
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,…
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
Import GGUF models from HuggingFace into Ollama. Pull models directly using the hf.co/ prefix, track download progress, and use imported models for inference.
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
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…
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
Analyze ML model architecture from papers and code. Use when understanding model structure for implementation.
لغة النص الأصلي: الإنجليزية
Virtual gene knockout simulation using foundation models to predict transcriptional changes
لغة النص الأصلي: الإنجليزية
∞-Operads for pairwise/tritwise Cat# interactions with lazy ACSet materialization unifying effective, realizability, and Grothendieck topoi via dendroidal Segal spaces.
لغة النص الأصلي: الإنجليزية
Intent classification and mapping for natural language commands. Uses unsloth/transformers for ML-based intent detection with ArangoDB storage.
لغة النص الأصلي: الإنجليزية
Measure preserved by the flow
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
Gay.jl integration for deterministic color generation. SplitMix64 RNG, GF(3) trits, and SPI-compliant fingerprints in Julia.
لغة النص الأصلي: الإنجليزية
Julia package equivalents for 137 K-Dense-AI scientific skills. Maps Python bioinformatics, chemistry, ML, quantum, and data science packages to native Julia ecosystem.
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
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)…
لغة النص الأصلي: الألمانية
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,…
لغة النص الأصلي: الألمانية
Kolmogorov complexity as the ultimate intelligence measure. Shortest
لغة النص الأصلي: الإنجليزية