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 19 ore
45.602 skill-uri
- 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↓ —
- finalize-agent-promptgithub/awesome-copilotFinalize prompt file using the role of an AI agent to polish the prompt for the end user.AlteleFără avertismente★ 40,4 K↓ —
- tokenwisesickn33/agentic-awesome-skillsMeasurement-driven model router for Claude Code. Routes Haiku/Sonnet/Opus per task class, logs every routed task with real $ numbers, and A/B tests cheaper tiers before you trust the savings.TestareFără avertismente★ 48,5 K↓ —
- ui-motionsickn33/agentic-awesome-skillsApply a named StyleSeed motion to a component — either one of the 5 personality seeds (Spring/Silk/Snap/Float/Pulse × entrance/exit/hover/press/layout) or a distinctive keyword move from the motion library (toggle-flip, toggle-curtain, reveal-blur, pop-in, shimmer, …).DesignFără avertismente★ 48,5 K↓ —
- parallel-webK-Dense-AI/scientific-agent-skillsUses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking.ȘtiințăFără avertismente★ 54,5 K↓ —
- update-llmsgithub/awesome-copilotUpdate the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/PlanificareFără avertismente★ 40,4 K↓ —
- ui-statessickn33/agentic-awesome-skillsDesign and build the UI states agents forget: first use, empty, loading, error, offline, no results, long content, permission denied and success.DesignFără avertismente★ 48,5 K↓ —
- ui-tokenssickn33/agentic-awesome-skillsView, add, or modify design tokens in the StyleSeed design systemDesignFără avertismente★ 48,5 K↓ —
- claude-automation-recommenderCherryHQ/cherry-studioRecommend Claude Code automations (hooks, subagents, skills, plugins, MCP) and review an existing setup.InginerieFără avertismente★ 53 K↓ —
- loopysickn33/agentic-awesome-skillsDiscover, find, compare, audit, repair, adapt, craft, run, debrief, and prepare repeatable AI-agent loops for publication.AlteleFără avertismente★ 48,5 K↓ —Apare și în 1 alt depozit
- 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↓ —
- vpn-setupsickn33/agentic-awesome-skillsConfigure WireGuard, OpenVPN, and cloud VPNs. Implement secure remote access and site-to-site connectivity. Use when setting up secure network tunnels.AlteleFără avertismente★ 48,5 K↓ —
- google-cloud-solution-hybrid-search-alloydbgoogle/skillsDiscovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid search use cases in Google Cloud. Use when users need vector search combined with structured SQL filtering, faceted attributes, semantic reranking, in-database AI validation, or serverless hosting across transactional relational databases, analytical data warehouses, or managed database engines. DON'T use this skill for simple keyword-only search, or when a standalone non-relational vector database is required.OficialDevOpsFără avertismente★ 21,6 K↓ —
- warehousesickn33/agentic-awesome-skillsPlan and review read-only data warehouse analysis with explicit scope, privacy, provenance, and validation checks.PlanificareFără avertismente★ 48,5 K↓ —
- zarr-pythonK-Dense-AI/scientific-agent-skillsStores and queries chunked N-D scientific arrays with Zarr-Python 3, including codecs, sharding, S3/GCS storage, and NumPy/Dask/Xarray integration. Use for array layout, bounded I/O, format migration, or scientific metadata preservation.InginerieFără avertismente★ 54,5 K↓ —
- wordpresssickn33/agentic-awesome-skillsWordPress development workflow covering theme development, plugin creation, WooCommerce integration, performance optimization, and security hardening. Includes WordPress 7.0 features: Real-Time Collaboration, AI Connectors, Abilities API, DataViews, and PHP-only blocks.SecuritateFără avertismente★ 48,5 K↓ —
- google-cloud-solution-guided-gke-ai-migrationgoogle/skillsGuides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl. Use when the user has an existing AI inference workload (on Cloud Run, the Gemini API, Gemini Enterprise Agent Platform, or a custom VM) and wants to move it to self-hosted inference on GKE, or asks follow-up questions during such a migration (hardware sizing, model staging, manifest generation, validation, traffic cutover). DO NOT use for brand new GKE inference deployments with no existing workload to migrate (use gke-inference instead). DO NOT use if the user intends to automate the migration via the Gemini Cloud Assist MCP server.OficialDevOpsFără avertismente★ 21,6 K↓ —
- mvvm-toolkit-digithub/awesome-copilotWire CommunityToolkit.Mvvm ViewModels into Microsoft.Extensions.DependencyInjection. Covers the .NET Generic Host composition root, constructor injection, service lifetimes (Singleton / Transient / Scoped), IMessenger registration, resolving ViewModels in Views, keyed services, testing seams, and the legacy Ioc.Default escape hatch. Use across WPF, WinUI 3, .NET MAUI, Uno, and Avalonia.TestareFără avertismente★ 40,4 K↓ —
- ai-productsickn33/agentic-awesome-skillsDesign and evaluate LLM product features, retrieval, validated outputs, latency, and cost controls.DesignFără avertismente★ 48,5 K↓ —
- anti-sleepsickn33/agentic-awesome-skillsKeep a Mac awake with caffeinate during long builds, downloads, or supervised automation runs.AlteleFără avertismente★ 48,5 K↓ —
- gke-workload-scaling-troubleshootinggoogle/skillsDiagnoses GKE HorizontalPodAutoscaler (HPA) failures — metrics showing as <unknown>, FailedGetResourceMetric / FailedGetScale / FailedComputeMetricsReplicas events, missing Pod resource requests, custom/external metrics-pipeline breakage (FailedGetExternalMetric / FailedGetCustomMetric, unavailable metrics adapter, control-plane firewall blocking the adapter), HPA that won't scale up or down (tolerance / stabilization window / unavailable rate metrics), scale-to/from-zero problems, and slow HPA reaction on large clusters. Use when an HPA isn't scaling a workload as expected or reports metric errors. Don't use for configuring or authoring new HPA/VPA objects or scaling best practices (see the gke-workload-scaling skill), or for Cluster Autoscaler / node-pool sizing.OficialPlanificareFără avertismente★ 21,6 K↓ —
- attendancesickn33/agentic-awesome-skillsDaily attendance register: check-in and check-out, hours worked, work mode, late minutes, leave and regularisation flags, as CSV, SQL, JSON Schema or Notion on request. Use for payroll input.DateFără avertismente★ 48,5 K↓ —
- aws-lambdasickn33/agentic-awesome-skillsBuild and deploy serverless functions on AWS Lambda. Configure triggers, manage permissions, and optimize performance. Use when implementing serverless applications.DevOpsFără avertismente★ 48,5 K↓ —
- aws-skillssickn33/agentic-awesome-skillsPlan and review AWS architecture and infrastructure changes using the upstream AWS skill collection.DevOpsFără avertismente★ 48,5 K↓ —
a4a
sickn33/agentic-awesome-skills
De la autor
Connect your AI agent to the A4A end-to-end encrypted agent-to-agent messaging network via local MCP tools or Python SDK.
Instalare
npx skills add sickn33/agentic-awesome-skills --skill a4a -a claude-code
Se instalează în .claude/skills/a4a/ · 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