Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
45.531 de skill-uri din 2.188 de depozite · actualizat acum 4 minute
45.529 de skill-uri
- tensorrt-llmOrchestra-Research/AI-Research-SKILLsOptimizes 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), in-flight batching, and multi-GPU scaling.DevOpsFără avertismente★ 13,9 K↓ —
- azure-keyvault-secrets-rustmicrosoft/skillsAzure Key Vault Secrets library for Rust. Store and retrieve secrets, passwords, and API keys. Triggers: "keyvault secrets rust", "SecretClient rust", "get secret rust", "set secret rust", "list secrets rust".OficialDevOpsFără avertismente★ 3,1 K↓ —
- flutter-setup-localizationflutter/agent-pluginsAdd `flutter_localizations` and `intl` dependencies, enable "generate true" in `pubspec.yaml`, and create an `l10n.yaml` configuration file. Use when initializing localization support for a new Flutter project.OficialAlteleFără avertismente★ 3,1 K↓ —
- azure-ai-transcription-pymicrosoft/skillsAzure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization. Triggers: "transcription", "speech to text", "Azure AI Transcription", "TranscriptionClient".OficialDevOpsFără avertismente★ 3,1 K↓ —
- nemo-guardrailsOrchestra-Research/AI-Research-SKILLsNVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.AlteleFără avertismente★ 13,9 K↓ —
- fine-tuning-with-trlOrchestra-Research/AI-Research-SKILLsFine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.AlteleFără avertismente★ 13,9 K↓ —
- prompt-guardOrchestra-Research/AI-Research-SKILLsMeta's 86M prompt injection and jailbreak detector. Filters malicious prompts and third-party data for LLM apps. 99%+ TPR, <1% FPR. Fast (<2ms GPU). Multilingual (8 languages). Deploy with HuggingFace or batch processing for RAG security.SecuritateFără avertismente★ 13,9 K↓ —
- cherry-studio-feedbackCherryHQ/cherry-studioUse when Cherry Studio 用户希望报告、提交或整理 BUG、UI/UX 问题或功能建议，但未明确要求创建 GitHub Issue。DesignFără avertismente★ 53 K↓ —
- instructorOrchestra-Research/AI-Research-SKILLsExtract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output libraryAlteleFără avertismente★ 13,9 K↓ —
- speculative-decodingOrchestra-Research/AI-Research-SKILLsAccelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1.5-3.6× speedup), reducing latency for real-time applications, or deploying models with limited compute. Covers draft models, tree-based attention, Jacobi iteration, parallel token generation, and production deployment strategies.PlanificareFără avertismente★ 13,9 K↓ —
- cherry-skill-marketplaceCherryHQ/cherry-studio用户要求搜索、安装、查看或卸载 Skill，或内置能力不足时使用：先 search_skills，再 install_skill；无结果用 skill-creator 创建。AlteleFără avertismente★ 53 K↓ —
- azure-ai-textanalytics-pymicrosoft/skillsAzure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text. Triggers: "text analytics", "sentiment analysis", "entity recognition", "key phrase", "PII detection", "TextAnalyticsClient".OficialDevOpsFără avertismente★ 3,1 K↓ —
- azure-storage-blob-tsmicrosoft/skillsAzure Blob Storage JavaScript/TypeScript SDK (@azure/storage-blob) for blob operations. Use for uploading, downloading, listing, and managing blobs and containers. Supports block blobs, append blobs, page blobs, SAS tokens, and streaming. Triggers: "blob storage", "@azure/storage-blob", "BlobServiceClient", "ContainerClient", "upload blob", "download blob", "SAS token", "block blob".OficialDevOpsFără avertismente★ 3,1 K↓ —
- code-mate-claude-codeCherryHQ/cherry-studioRun Claude Code non-interactively for coding tasks. Use when the user asks to delegate work to Claude Code.InginerieFără avertismente★ 53 K↓ —
- nemo-curatorOrchestra-Research/AI-Research-SKILLsGPU-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 preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.MediaFără avertismente★ 13,9 K↓ —
- code-mate-antigravityCherryHQ/cherry-studioRun Antigravity CLI non-interactively for coding tasks. Use when the user asks to delegate work to Antigravity.InginerieFără avertismente★ 53 K↓ —
- stable-diffusion-image-generationOrchestra-Research/AI-Research-SKILLsState-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.MediaFără avertismente★ 13,9 K↓ —
- distributed-llm-pretraining-torchtitanOrchestra-Research/AI-Research-SKILLsProvides 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.AlteleFără avertismente★ 13,9 K↓ —
- code-mate-qwen-codeCherryHQ/cherry-studioRun Qwen Code non-interactively for coding tasks. Use when the user asks to delegate work to Qwen Code.InginerieFără avertismente★ 53 K↓ —
- code-mate-kimi-codeCherryHQ/cherry-studioRun Kimi Code non-interactively for coding tasks. Use when the user asks to delegate work to Kimi Code.InginerieFără avertismente★ 53 K↓ —
- code-mate-opencodeCherryHQ/cherry-studioRun OpenCode non-interactively for coding tasks. Use when the user asks to delegate work to OpenCode.InginerieFără avertismente★ 53 K↓ —
- segment-anything-modelOrchestra-Research/AI-Research-SKILLsFoundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object masks in an image.MediaFără avertismente★ 13,9 K↓ —
- code-mate-openclawCherryHQ/cherry-studioRun the local OpenClaw agent non-interactively. Use when the user asks to delegate a bounded task to OpenClaw.InginerieFără avertismente★ 53 K↓ —
- optimizing-attention-flashOrchestra-Research/AI-Research-SKILLsOptimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.ProductivitateFără avertismente★ 13,9 K↓ —
result-to-claim
wanshuiyin/Auto-claude-code-research-in-sleep
ȘtiințăActualizat acum 21 de ore
De la autor
Use when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing. A secondary Codex agent evaluates results against intended claims and routes to next action (pivot, supplement, or confirm). Use after experiments finish — before writing the paper or running ablations.
Instalare
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill result-to-claim -a claude-code
Se instalează în .claude/skills/result-to-claim/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
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- SKILL.md