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.
31.805 skill-uri din 1.394 de depozite · actualizat acum 1 minut
31.803 skill-uri
- gke-ai-troubleshooting-node-unresponsive-timeoutgoogle/skillsDiagnose and mitigate GKE TPU or GPU nodes stuck in NotReady / NodeStatusUnknown ("Kubelet stopped posting node status") due to host kernel panics, hardware lockups, or disabled node auto-repair. Use when nodes stop heartbeating beyond the node auto-repair threshold and pods remain stuck in Terminating. Don't use for healthy nodes, pod-only application crashes, or routine GKE upgrades.OficialAlteleFără avertismente★ 21,5 K↓ —
- jqsickn33/agentic-awesome-skillsExpert jq usage for JSON querying, filtering, transformation, and pipeline integration. Practical patterns for real shell workflows.AlteleFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- google-analytics-admin-api-basicsgoogle/skillsManages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need to programmatically configure Google Analytics accounts, provision properties, manage data retention, configure Measurement Protocol secrets, or manage Firebase and Google Ads links.OficialDateFără avertismente★ 21,5 K↓ —
- byagentsickn33/agentic-awesome-skillsPublish agent-written Markdown or HTML as a shareable link with the byagent CLI, then read readers' line comments back, edit, republish to the same link and resolve them.RedactareFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- manifestsickn33/agentic-awesome-skillsInstall and configure the Manifest observability plugin for your agents. Use when setting up telemetry, configuring API keys, or troubleshooting the plugin.DevOpsFără avertismente★ 48,4 K↓ —
- gke-productionizegoogle/skillsOrchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability, observability, backup/DR, and cost optimization. Use when asked to productionize, prepare, assess, audit, or review a GKE cluster or workload before going live to production. Don't use for deep-dive single-domain implementation (use specific domain skills like gke-workload-scaling, gke-platform-security, gke-workload-security, gke-service-networking, gke-reliability instead).OficialSecuritateFără avertismente★ 21,5 K↓ —
- rust-prosickn33/agentic-awesome-skillsMaster Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming.AlteleFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- refactorgithub/awesome-copilotSurgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.InginerieFără avertismente★ 40,4 K↓ —Apare și în 1 alt depozit
- google-cloud-slo-alert-configurationgoogle/skillsConfigures Cloud Monitoring PromQL-based Service Level Objective (SLO) alerting policies on Google Cloud for resources registered in App Hub or individually specified. Generates Terraform output. Use when the user asks to configure an SLO or Service Level Objective. Don't use for standard alerting policies.OficialDevOpsFără avertismente★ 21,5 K↓ —
- gke-ai-troubleshooting-tpu-performance-degradationgoogle/skillsDiagnose GKE Cloud TPU training throughput drops and step-time regressions (15%+ TPU duty-cycle drop) using ML Diagnostics Workload Monitoring (`gcloud alpha mldiagnostics monitored-events` / `hypercomputecluster.googleapis.com/v1alpha`) and 1-minute Cloud Monitoring system metrics (`kubernetes.io/node/accelerator/*`). Distinguishes hardware and network fabric throttling from workload resource bottlenecks (HBM capacity, host memory, or host CPU saturation). Use when TPU training throughput or duty cycle drops without crashing pods, when `PERFORMANCE_DEGRADATION` monitored events fire, or when triaging slow multi-slice training steps. Don't use for complete multi-slice XLA execution stalls with `HANG_DETECTED` logs (use gke-ai-troubleshooting-tpu-mxla-hang) or pod eviction/interruption restarts (use gke-ai-troubleshooting-jobset-interruption).OficialDevOpsFără avertismente★ 21,5 K↓ —
- cpp-prosickn33/agentic-awesome-skillsWrite idiomatic C++ code with modern features, RAII, smart pointers, and STL algorithms. Handles templates, move semantics, and performance optimization.RedactareFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- gke-ai-troubleshooting-tpu-reservation-stockoutgoogle/skillsDiagnose and resolve cluster-wide GKE TPU node pool creation or scale-up failures caused by Compute Engine reservation stockouts (GCE_STOCKOUT, ZONE_RESOURCE_POOL_EXHAUSTED) when existing unhealthy or NotReady TPU node pools in the cluster have node auto-repair disabled and hold reserved TPU capacity. Use when TPU node pool creation or scale-up fails with GCE_STOCKOUT, ZONE_RESOURCE_POOL_EXHAUSTED, or ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS despite having a specific Compute Engine TPU reservation. Don't use for general pod scheduling without a TPU reservation or workload-level container crashes.OficialPlanificareFără avertismente★ 21,5 K↓ —
- google-cloud-waf-sustainabilitygoogle/skillsProvides recommendations for environmental sustainability, carbon footprint reduction, and energy efficiency based on the Sustainability pillar of the Google Cloud Well-Architected Framework (WAF). Use when the user asks to assess, design, or optimize Google Cloud workloads for sustainability—including the shared responsibility model, selecting low-carbon regions (CFE%), reducing resource and AI/ML energy waste, designing efficient software and storage lifecycles, or measuring and tracking emissions using Google Cloud Carbon Footprint. Don't use for financial cost reduction (use google-cloud-waf-cost-optimization), latency and throughput tuning (use google-cloud-waf-performance-optimization), or high availability and disaster recovery (use google-cloud-waf-reliability).OficialDesignFără avertismente★ 21,5 K↓ —
- gke-node-notreadygoogle/skillsDiagnoses GKE nodes reporting NotReady or Unknown status by inspecting node conditions, events, kubelet/containerd logs, and node metrics, then proposing safe remediations. Use when nodes show NotReady, when the kubelet stops posting node status, or when workloads are evicted or stuck Pending due to node health. Don't use for pod-level application failures (use gke-workload-troubleshooting), autoscaler scale-up/scale-down decisions (use gke-cluster-autoscaler), or non-GKE compute.OficialAlteleFără avertismente★ 21,5 K↓ —
- openhooksickn33/agentic-awesome-skillsCreates private callback inboxes with Openhook. Use when an agent needs to wait for a webhook, inspect received HTTP/email/DNS events, or verify a test callback's contents.TestareFără avertismente★ 48,4 K↓ —
- workload-manager-basicsgoogle/skillsUse this skill to manage Google Cloud Workload Manager evaluations, rules, scanned resources, and validation results by using public client libraries and the REST API. Use when you need to inspect workload best-practice rules, create and run evaluations for Google Cloud general best practices, SAP, SQL Server, or custom organizational rules, review violations, export results to BigQuery, or automate Workload Manager through client libraries because no service-specific public CLI or MCP server is available. Don't use for general Google Compute Engine instance management, VPC configuration, or standard IAM auditing.OficialDateFără avertismente★ 21,5 K↓ —
- squirrelsickn33/agentic-awesome-skillsFull-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline.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
- bigquery-bigframesgoogle/skillsGenerates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing, analysis, and machine learning. Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.OficialDateFără avertismente★ 21,5 K↓ —
- gke-manifest-generationgoogle/skillsGenerates and updates secure, production-ready Kubernetes YAML manifests optimized for GKE Autopilot and GKE Standard clusters. Use when creating or modifying GKE deployment manifests, configuring container security contexts, setting CPU/memory resource limits, defining readiness/liveness/startup probes, mounting secrets and volumes, configuring GKE Gateway API routes, targeting Spot VMs, or deploying AI model inference workloads (vLLM, TGI, Gemma). Don't use for live cluster operations, pod troubleshooting (use gke-workload-troubleshooting), or cluster infrastructure provisioning (use gke-cluster-creation).OficialSecuritateFără avertismente★ 21,5 K↓ —
- gke-ai-troubleshooting-handle-disruption-gpu-tpugoogle/skillsDiagnoses, predicts, and mitigates node disruptions during Compute Engine host maintenance and hardware or software maintenance events for GPU and TPU workloads on GKE. Use when diagnosing node disruptions, predicting host maintenance events on GPU/TPU nodepools, inspecting node interruption PromQL metrics, auditing node taints, or configuring workload protection strategies (graceful termination, opportunistic maintenance, PodDisruptionBudgets). Don't use for general GKE cluster creation, network policy configuration, or non-disruption workload deployment.OficialDevOpsFără avertismente★ 21,5 K↓ —
- langfusesickn33/agentic-awesome-skillsExpert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production.DevOpsFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- seo-plansickn33/agentic-awesome-skillsStrategic SEO planning for new or existing websites. Industry-specific templates, competitive analysis, content strategy, and implementation roadmap. Use when user says "SEO plan", "SEO strategy", "content strategy", "site architecture", or "SEO roadmap".MarketingFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- aws-ec2sickn33/agentic-awesome-skillsManage EC2 instances, AMIs, and auto-scaling groups. Configure security groups, key pairs, and instance types. Use when deploying compute resources on AWS.DevOpsFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
secrets-management
wshobson/agents
DevOpsActualizat acum 19 ore
De la autor
Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments.
Instalare
npx skills add wshobson/agents --skill secrets-management -a claude-code
Se instalează în .claude/skills/secrets-management/ · 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 95
Securitate100
Proveniență95
Întreținere100
Licență100
Adopție71
Fișiere (1)
- SKILL.md