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.
47.893 de skill-uri din 2.309 depozite · actualizat acum 28 de minute
47.891 de skill-uri
- notion-research-documentationopenai/skillsResearch across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.OficialȘtiințăFără avertismente★ 28,4 K↓ —Apare și în 1 alt depozit
- notion-meeting-intelligenceopenai/skillsPrepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.OficialProductivitateFără avertismente★ 28,4 K↓ —Apare și în 1 alt depozit
- playwright-interactiveopenai/skillsPersistent browser and Electron interaction through `js_repl` for fast iterative UI debugging.OficialTestareFără avertismente★ 28,4 K↓ —
- auto-review-loopwanshuiyin/Auto-claude-code-research-in-sleepAutonomous multi-round research review loop. Repeatedly reviews using Claude Code via claude-review MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.InginerieFără avertismente★ 18,3 K↓ —
- azure-communication-sms-javamicrosoft/skillsSend SMS messages with Azure Communication Services SMS Java SDK. Use when implementing SMS notifications, alerts, OTP delivery, bulk messaging, or delivery reports.OficialDevOpsFără avertismente★ 3,2 K↓ —
- embodiment-descriptionwanshuiyin/Auto-claude-code-research-in-sleepWrite detailed embodiment descriptions for patent specifications. Use when user says "撰写实施例", "write embodiment", "实施例描述", "detailed description", or wants to describe how to practice an invention.RedactareFără avertismente★ 18,3 K↓ —Apare și în 2 alte depozite
- define-goalopenai/skillsHelp the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.OficialAlteleFără avertismente★ 28,4 K↓ —Apare și în 1 alt depozit
- azure-storage-queue-tsmicrosoft/skillsAzure Queue Storage JavaScript/TypeScript SDK (@azure/storage-queue) for message queue operations. Use for sending, receiving, peeking, and deleting messages in queues. Supports visibility timeout, message encoding, and batch operations. Triggers: "queue storage", "@azure/storage-queue", "QueueServiceClient", "QueueClient", "send message", "receive message", "dequeue", "visibility timeout".OficialDevOpsFără avertismente★ 3,2 K↓ —
- aspnet-coreopenai/skillsBuild, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development. Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades.OficialTestareFără avertismente★ 28,4 K↓ —Apare și în 1 alt depozit
- 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★ 14,1 K↓ —
- linearopenai/skillsManage issues, projects & team workflows in Linear. Use when the user wants to read, create or updates tickets in Linear.OficialAlteleFără avertismente★ 28,4 K↓ —Apare și în 4 alte depozite
- 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★ 14,1 K↓ —
- constitutional-aiOrchestra-Research/AI-Research-SKILLsAnthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety alignment, reducing harmful outputs without human labels. Powers Claude's safety system.AlteleFără avertismente★ 14,1 K↓ —
- serving-llms-vllmOrchestra-Research/AI-Research-SKILLsServes LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.DevOpsFără avertismente★ 14,1 K↓ —
- azure-ai-anomalydetector-javamicrosoft/skillsBuild anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.OficialDevOpsFără avertismente★ 3,2 K↓ —
- altoranksickn33/agentic-awesome-skillsRun AltoRank through its hosted MCP server: readiness audits, Search Console, keyword research, and SEO drafts into a review queue.ȘtiințăFără avertismente★ 48,8 K↓ —
- azure-reliabilitymicrosoft/skillsAssess and improve the reliability posture of PaaS Applications (Azure Functions and Azure App Service). Scans deployed resources for zone redundancy, ZRS storage, health probes, and multi-region failover. Presents a feature-pivoted checklist, then drives staged remediation (CLI or IaC patches) end-to-end with user confirmation. WHEN: "assess reliability", "check reliability", "zone redundant", "multi-region failover", "high availability", "disaster recovery", "single points of failure", "reliability posture", "resiliency".OficialDevOpsFără avertismente★ 3,2 K↓ —Apare și în 2 alte depozite
- notion-knowledge-captureopenai/skillsCapture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.OficialProductivitateFără avertismente★ 28,4 K↓ —Apare și în 1 alt depozit
- training-llms-megatronOrchestra-Research/AI-Research-SKILLsTrains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parameters, need maximum GPU efficiency (47% MFU on H100), or require tensor/pipeline/sequence/context/expert parallelism. Production-ready framework used for Nemotron, LLaMA, DeepSeek.ProductivitateFără avertismente★ 14,1 K↓ —
- gitlab-cisickn33/agentic-awesome-skillsConfigure GitLab CI/CD pipelines and runners for automated building, testing, and deployment.TestareFără avertismente★ 48,8 K↓ —
- gptqOrchestra-Research/AI-Research-SKILLsPost-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs FP16. Integrates with transformers and PEFT for QLoRA fine-tuning.DevOpsFără avertismente★ 14,1 K↓ —
- podmansickn33/agentic-awesome-skillsManage containers using Podman, the daemonless container engine.AlteleFără avertismente★ 48,8 K↓ —
- phoenix-observabilityOrchestra-Research/AI-Research-SKILLsOpen-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.DevOpsFără avertismente★ 14,1 K↓ —
- system-profilewanshuiyin/Auto-claude-code-research-in-sleepProfile a target (script, process, GPU, memory, interconnect) for performance analysis. Use when user says "profile", "benchmark", "bottleneck", or wants performance analysis.ProductivitateFără avertismente★ 18,3 K↓ —Apare și în 2 alte depozite
paper-write
wanshuiyin/Auto-claude-code-research-in-sleep
ȘtiințăActualizat acum 8 ore
De la autor
Draft LaTeX paper section by section from an outline. Use when user says \"写论文\", \"write paper\", \"draft LaTeX\", \"开始写\", or wants to generate LaTeX content from a paper plan.
Instalare
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill paper-write -a claude-code
Se instalează în .claude/skills/paper-write/ · 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 instrucțiuniFolosește rețeauaLicență: MIT
Verificări de siguranță pe SKILL.md
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De ce 93
Securitate100
Proveniență91
Întreținere100
Licență100
Adopție66
Fișiere (25)
- SKILL.md
- templates/IEEEtran.bst
- templates/IEEEtran.cls
- templates/aaai2026.bst
- templates/aaai2026.sty
- templates/aaai2026.tex
- templates/acl.sty
- templates/acl2026.tex
- templates/acl_natbib.bst
- templates/acm.bst
- templates/acm_mm2026.tex
- templates/acmart.cls
- încă 13