Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
لغة النص الأصلي: الإنجليزية
القائمة
Skills في هذا المستودع
جمع SkillsMP عدد ١٤٩ من skills من johnson7788/MultiUserClaw. افتح أي skill لمراجعة مصدره وتفاصيله.
johnson7788/MultiUserClawعرض ٢٩ من أصل ١٤٩ skills مجمعة.
Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
لغة النص الأصلي: الإنجليزية
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for…
لغة النص الأصلي: الإنجليزية
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's…
لغة النص الأصلي: الإنجليزية
Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at…
لغة النص الأصلي: الإنجليزية
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best…
لغة النص الأصلي: الإنجليزية
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
لغة النص الأصلي: الإنجليزية
Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic…
لغة النص الأصلي: الإنجليزية
Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training…
لغة النص الأصلي: الإنجليزية
Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.
لغة النص الأصلي: الإنجليزية
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
لغة النص الأصلي: الإنجليزية
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4),…
لغة النص الأصلي: الإنجليزية
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
لغة النص الأصلي: الإنجليزية
Free web search via DuckDuckGo — text, news, images, videos. No API key needed. Prefer the `ddgs` CLI when installed; use the Python DDGS library only after verifying that `ddgs` is available in the current runtime.
لغة النص الأصلي: الإنجليزية
Index a codebase with GitNexus and serve an interactive knowledge graph via web UI + Cloudflare tunnel.
لغة النص الأصلي: الإنجليزية
Optional vendor skill for Parallel CLI — agent-native web search, extraction, deep research, enrichment, FindAll, and monitoring. Prefer JSON output and non-interactive flows.
لغة النص الأصلي: الإنجليزية
Web scraping with Scrapling - HTTP fetching, stealth browser automation, Cloudflare bypass, and spider crawling via CLI and Python.
لغة النص الأصلي: الإنجليزية
Free meta-search via SearXNG — aggregates results from 70+ search engines. Self-hosted or use a public instance. No API key needed. Falls back automatically when the web search toolset is unavailable.
لغة النص الأصلي: الإنجليزية
Supply chain investigation, evidence recovery, and forensic analysis for GitHub repositories. Covers deleted commit recovery, force-push detection, IOC extraction, multi-source evidence collection, hypothesis formation/validation, and structured forensic…
لغة النص الأصلي: الإنجليزية
OSINT username search across 400+ social networks. Hunt down social media accounts by username.
لغة النص الأصلي: الإنجليزية
Embed alibaba/page-agent into your own web application — a pure-JavaScript in-page GUI agent that ships as a single <script> tag or npm package and lets end-users of your site drive the UI with natural language ("click login, fill username as John"). No…
لغة النص الأصلي: الإنجليزية
Inspect codebases w/ pygount: LOC, languages, ratios.
لغة النص الأصلي: الإنجليزية
HeartMuLa: Suno-like song generation from lyrics + tags.
لغة النص الأصلي: الإنجليزية
Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).
لغة النص الأصلي: الإنجليزية
Create, read, edit .pptx decks, slides, notes, templates.
لغة النص الأصلي: الإنجليزية
Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.
لغة النص الأصلي: الإنجليزية
Debug Node.js via --inspect + Chrome DevTools Protocol CLI.
لغة النص الأصلي: الإنجليزية
Debug Python: pdb REPL + debugpy remote (DAP).
لغة النص الأصلي: الإنجليزية
Publish static sites to {slug}.here.now and store private files in cloud Drives for agent-to-agent handoff.
لغة النص الأصلي: الإنجليزية
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include…
لغة النص الأصلي: الإنجليزية