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.
45.604 skill-uri din 2.205 depozite · actualizat acum 10 ore
45.602 skill-uri
- react-native-designwshobson/agentsMaster React Native styling, navigation, and Reanimated animations for cross-platform mobile development. Use when building React Native apps, implementing navigation patterns, or creating performant animations.DesignFără avertismente★ 41,7 K↓ —
- sql-optimizationgithub/awesome-copilotUniversal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monitoring guidance.DateFără avertismente★ 40,4 K↓ —
- web-component-designwshobson/agentsMaster React, Vue, and Svelte component patterns including CSS-in-JS, composition strategies, and reusable component architecture. Use when building UI component libraries, designing component APIs, or implementing frontend design systems.DesignFără avertismente★ 41,7 K↓ —
- file-conversionwshobson/agentsUse when the user needs a local file converted between common image, audio, video, document, or data formats. Select installed tools, preserve originals, and verify the output.MarketingFără avertismente★ 41,7 K↓ —
- dataset-curationwshobson/agentsPrepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring sequence packing, generating synthetic training data, or writing a dataset card before a run.RedactareFără avertismente★ 41,7 K↓ —
- glassersickn33/agentic-awesome-skillsSearch, inspect, and run third-party data APIs through one CLI when the environment has no suitable integration.InginerieFără avertismente★ 48,5 K↓ —
- mobile-android-designwshobson/agentsMaster Material Design 3 and Jetpack Compose patterns for building native Android apps. Use when designing Android interfaces, implementing Compose UI, or following Google's Material Design guidelines.DesignFără avertismente★ 41,7 K↓ —
- design-system-patternswshobson/agentsBuild scalable design systems with design tokens, theming infrastructure, and component architecture patterns. Use when creating design tokens, implementing theme switching, building component libraries, or establishing design system foundations.DesignFără avertismente★ 41,7 K↓ —
- fastapi-templateswshobson/agentsCreate production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.InginerieFără avertismente★ 41,7 K↓ —
- managed-airflow-migrationsgoogle/skillsProvides guidance for migrating Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers migration to Airflow 2.11.1 (MSAA Gen 2 and 3) and Airflow 3 (MSAA Gen 3), including environment inspection, GCS download/upload and scanning patterns for breaking changes. Use when migrating the DAG code to newer Airflow version. Don't use when checking DAG run failures unrelated to code migration.OficialInginerieFără avertismente★ 21,6 K↓ —
- polars-bioK-Dense-AI/scientific-agent-skillsPerforms genomic interval overlap, nearest, merge, coverage, complement and subtraction on Polars DataFrames, and reads or writes BED, VCF, BCF, BAM, CRAM, GFF, GTF, FASTA and FASTQ data. Use for coordinate-aware genomic joins, read-depth analysis, lazy bioinformatics I/O, SQL queries or migration from bioframe.DateFără avertismente★ 54,5 K↓ —
- ima-sdk-client-sidegoogle/skillsSupports Interactive Media Ads (IMA) SDK. Use this skill for client-side ad insertion when you are requesting video ads for websites, apps, TVs or other platforms using VAST or VMAP. Do not use for Dynamic Ad Insertion (DAI), SSAI, or SGAI.OficialMediaFără avertismente★ 21,6 K↓ —
- create-readmegithub/awesome-copilotCreate a README.md file for the projectAlteleFără avertismente★ 40,4 K↓ —
- next-intl-add-languagegithub/awesome-copilotAdd new language to a Next.js + next-intl applicationAlteleFără avertismente★ 40,4 K↓ —
- lora-qlora-recipeswshobson/agentsConfigure LoRA and QLoRA supervised fine-tuning with current best-practice hyperparameters. Use when writing or reviewing a LoRA/QLoRA training configuration, choosing rank/alpha/target modules, or deciding between LoRA, QLoRA, and full fine-tuning.RedactareFără avertismente★ 41,7 K↓ —
- pci-compliancewshobson/agentsImplement PCI DSS compliance requirements for secure handling of payment card data and payment systems. Use when securing payment processing, achieving PCI compliance, or implementing payment card security measures.JuridicFără avertismente★ 41,7 K↓ —
- gitlab-ci-patternswshobson/agentsBuild GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.TestareFără avertismente★ 41,7 K↓ —
- google-mobile-ads-android-migrate-to-next-gengoogle/skillsMigrates Android applications from the old, legacy Google Mobile Ads (GMA) SDK (com.google.android.gms:play-services-ads) to the new GMA Next-Gen SDK (com.google.android.libraries.ads.mobile.sdk:ads-mobile-sdk). Provides comprehensive mapping tables for imports, classes, and method signatures to help determine migration steps. Use when migrating an existing Android codebase from the old, legacy GMA SDK to GMA Next-Gen SDK.OficialMarketingFără avertismente★ 21,6 K↓ —
- google-cloud-solution-agentic-ai-borderless-data-lakehousegoogle/skillsDiscovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents. Use when architecting multi-cloud storage infrastructure (Cloud Storage, AWS S3, Azure Blob), establishing ingestion and AI serving subsystems, configuring Cross-Cloud Interconnect, or deploying Gemini Enterprise Agent Platform and BigQuery data agents. Don't use for single-cloud data warehouses, or when the focus is on Knowledge Catalog metadata governance and Spark-driven IDE analytics workflows (use google-cloud-solution-agentic-analytics-spark-knowledge-catalog instead).OficialDevOpsFără avertismente★ 21,6 K↓ —
- react18-string-refsgithub/awesome-copilotProvides exact migration patterns for React string refs (ref="name" + this.refs.name) to React.createRef() in class components. Use this skill whenever migrating string ref usage - including single element refs, multiple refs in a component, refs in lists, callback refs, and refs passed to child components. Always use this skill before writing any ref migration code - the multiple-refs-in-list pattern is particularly tricky and this skill prevents the most common mistakes. Use it for React 18.3.1 migration (string refs warn) and React 19 migration (string refs removed).RedactareFără avertismente★ 40,4 K↓ —
- transformers-jshuggingface/skillsUse Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Works in browsers and server-side runtimes (Node.js, Bun, Deno) with WebGPU/WASM using pre-trained models from Hugging Face Hub.OficialMediaFără avertismente★ 11,2 K↓ —Apare și în 1 alt depozit
- trl-traininghuggingface/skillsPost-train LLMs with TRL (Transformers Reinforcement Learning) — SFT, DPO, GRPO, KTO, and reward-model training. Use when writing or debugging training code with the TRL Python API or the trl CLI.OficialRedactareFără avertismente★ 11,2 K↓ —Apare și în 1 alt depozit
- huggingface-besthuggingface/skillsUse when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores. Triggers on: "best model for X", "what model should I use for", "top models for [task]", "which model runs on my laptop/machine/device", "recommend a model for", "what LLM should I use for", "compare models for", "what's state of the art for", or any question about choosing an AI model for a specific use case. Always use this skill when the user wants model recommendations or comparisons, even if they don't explicitly mention HuggingFace or benchmarks.OficialPlanificareFără avertismente★ 11,2 K↓ —
- huggingface-trackiohuggingface/skillsTrack and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.OficialInginerieFără avertismente★ 11,2 K↓ —
merge
alirezarezvani/claude-skills
De la autor
Merge the winning agent's branch into base, archive losers, and clean up worktrees. Use when the user runs /hub:merge or asks to land the winning AgentHub result and tidy the session.
Instalare
npx skills add alirezarezvani/claude-skills --skill merge -a claude-code
Se instalează în .claude/skills/merge/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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- SKILL.md