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.
37.891 de skill-uri din 1.729 de depozite · actualizat acum 12 minute
37.891 de skill-uri
- google-mobile-ads-interstitialgoogle/skillsProvides instructions for implementing, integrating, or configuring Google Mobile Ads (GMA) SDK interstitial ads in Android, iOS, or Unity mobile applications. Use when the task involves setting up interstitial ads. Don't use for "rewarded interstitial" ads.OficialMarketingFără avertismente★ 21,5 K↓ —
- gke-ai-troubleshooting-tpu-vm-repair-stuckgoogle/skillsDiagnose GKE TPU VM instances stuck in Compute Engine repair (REPAIRING state) after host errors, maintenance events, or faulty host reports in single-host, multi-host, dynamic slicing, and TPU All Capacity mode node pools. Use when TPU instances in a slice node pool remain in REPAIRING, host error events appear in audit logs, or TPU slices are unschedulable due to a VM in repair. Don't use for nodes reporting Ready: Unknown when no VM is in REPAIRING (use gke-ai-troubleshooting-node-unresponsive-timeout), other NotReady nodes when no VM is in REPAIRING (use gke-node-notready), Pending Pods when all nodes are Ready (use gke-workload-troubleshooting), JobSet preemption events (use gke-ai-troubleshooting-jobset-interruption), or Slice custom resource lifecycle failures (use gke-ai-troubleshooting-tpu-dynamic-slices-monitoring).OficialAlteleFără avertismente★ 21,5 K↓ —
- seo-geosickn33/agentic-awesome-skillsOptimize content for AI Overviews, ChatGPT, Perplexity, and other AI search systems. Use when improving GEO, AI citations, llms.txt readiness, crawler accessibility, and passage-level citability.MarketingFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- bigquery-troubleshootinggoogle/skillsProvides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system performance issues, or unexpectedly expensive workloads. Use when interpreting symptoms, isolating bottlenecks, diagnosing cost spikes (on-demand query spend, capacity slot autoscaling, storage growth), execution graph stages or substep variables, identifying root causes, and determining remediation steps. Don't use for writing or optimizing SQL, proactive capacity planning, or storage layout design (use bigquery-optimization), or when the user already knows which telemetry they want and just needs the query (use bigquery-observability).OficialDateFără avertismente★ 21,5 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★ 21,5 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★ 21,5 K↓ —
- google-cloud-waf-performance-optimizationgoogle/skillsGenerates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify performance requirements, and provide actionable recommendations for resource allocation, modular design, and elasticity.OficialDesignFără avertismente★ 21,5 K↓ —
- screen-reader-testingwshobson/agentsTest web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues, or ensuring assistive technology support.TestareFără avertismente★ 41,6 K↓ —
- satorisickn33/agentic-awesome-skillsClinically informed wisdom companion blending psychology and philosophy into a structured thinking partnerAlteleFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- revopssickn33/agentic-awesome-skillsDesign and improve revenue operations, lead lifecycle rules, scoring, routing, handoffs, and CRM process automation. Use when marketing, sales, and customer success workflows need clearer operational structure.DesignFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- tddsickn33/agentic-awesome-skillsTest-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.TestareFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- ai-seosickn33/agentic-awesome-skillsOptimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness.MarketingFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- readmesickn33/agentic-awesome-skillsYou are an expert technical writer creating comprehensive project documentation. Your goal is to write a README.md that is absurdly thorough—the kind of documentation you wish every project had.RedactareFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- sdk-dxsickn33/agentic-awesome-skillsDesign SDKs that developers love to use—APIs that feel native, error messages that guide, and experiences that reduce friction. This skill covers creating SDKs that drive adoption through exceptional developer experience rather than aggressive marketing.DesignFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- shadcnsickn33/agentic-awesome-skillsManages shadcn/ui components and projects, providing context, documentation, and usage patterns for building modern design systems.DesignFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- welcomenanocoai/nanoclawIntroduce yourself to a newly connected channel. Triggered automatically when a channel is first wired. Send a friendly greeting and brief overview of what you can do.AlteleFără avertismente★ 31 K↓ —
- huggingface-local-modelshuggingface/skillsUse to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.OficialMarketingFără avertismente★ 11,2 K↓ —
- recipe-generate-report-from-sheetgoogleworkspace/cliRead data from a Google Sheet and create a formatted Google Docs report.AlteleFără avertismente★ 31,8 K↓ —
- huggingface-zerogpuhuggingface/skillsAI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, `@spaces.GPU`, or the `spaces` Python package, or hits ZeroGPU-specific code errors like `PicklingError` across the worker boundary, `illegal duration`, or `flash-attn` wheel-build failures — even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on `import spaces` or `@spaces.GPU` in code.OficialRedactareFără avertismente★ 11,2 K↓ —
- hf-mcphuggingface/skillsUse Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.OficialAlteleFără avertismente★ 11,2 K↓ —Apare și în 1 alt depozit
- recipe-create-vacation-respondergoogleworkspace/cliEnable a Gmail out-of-office auto-reply with a custom message and date range.AlteleFără avertismente★ 31,8 K↓ —
- huggingface-datasetshuggingface/skillsUse this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.OficialInginerieFără avertismente★ 11,2 K↓ —
- gws-sharedgoogleworkspace/cligws CLI: Shared patterns for authentication, global flags, and output formatting.InginerieFără avertismente★ 31,8 K↓ —
- gws-sheetsgoogleworkspace/cliGoogle Sheets: Read and write spreadsheets.RedactareFără avertismente★ 31,8 K↓ —
cloud-run-alert-configuration
google/skills
De la autor
Configures best-practice, high-signal alerting policies for Cloud Run resources on Google Cloud (services, jobs, and worker pools) based on seasoned SRE practices. Use when analyzing, recommending, writing, or deploying Terraform PromQL alerting policies to monitor Cloud Run error rates (4xx/5xx), request latency, container instance saturation (warning/critical), container CPU/memory utilization and allocation, billable instance time, job execution status, and worker pool queue backlog. Don't use for GKE workloads (use gke-alert-configuration) or Compute Engine VMs.
Instalare
npx skills add google/skills --skill cloud-run-alert-configuration -a claude-code
Se instalează în .claude/skills/cloud-run-alert-configuration/ · 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.
La ce are acces
Verificări de siguranță pe SKILL.md
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De ce 95
Fișiere (5)
- SKILL.md
- references/attribution.md
- references/jobs.md
- references/services.md
- references/worker_pools.md