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.
32.852 de skill-uri din 1.459 de depozite · actualizat acum 9 minute
32.850 de skill-uri
- datalineage-summarygoogle/skillsSummarizes data lineage graphs on Google Cloud to help users debug data quality issues and understand data provenance for BigQuery and Cloud Storage. Use when summarizing upstream and downstream data flows, and presenting complex lineage data as an intuitive Markdown report. Don't use for generic BigQuery queries, editing lineage relationships, or downstream deprecation. Don't use for downstream blast-radius impact analysis (use datalineage-bigquery-asset-impact-analysis skill instead).OficialProductivitateFără avertismente★ 21,5 K↓ —
- secops-triagegoogle/skillsExpert guidance for security alert triage in Google SecOps. Use when investigating and triaging security alerts, determining false positives vs. true positives, assessing entity risk, adjusting alert severity or priority, and closing or escalating alerts and cases. Don't use for deep multi-hop incident investigations across host timelines (use secops-investigate), proactive threat hunting or retroactive IoC sweeps (use secops-hunt), or authoring new detection rules (use secops-detection-engineering).OficialSecuritateFără avertismente★ 21,5 K↓ —
- hunt-idorsickn33/agentic-awesome-skillsHunting skill for idor vulnerabilities. Built from 26 public bug bounty reports. Use when hunting idor on any target.SecuritateFără avertismente★ 48,4 K↓ —
- alloydb-basicsgoogle/skillsManages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, or administering AlloyDB databases. Do NOT use for general PostgreSQL instances (e.g. Cloud SQL) or other GCP databases.OficialDevOpsFără avertismente★ 21,5 K↓ —
- bigquery-ai-mlgoogle/skillsLeverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.OficialDateFără avertismente★ 21,5 K↓ —
- arize-tracegithub/awesome-copilotDownloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI. Use when the user wants to look at existing trace data, see what their LLM app is doing, export traces, download spans, investigate errors, or analyze behavior regressions.FinanțeFără avertismente★ 40,4 K↓ —
- stripe-integrationwshobson/agentsImplement Stripe payment processing for robust, PCI-compliant payment flows including checkout, subscriptions, and webhooks. Use when integrating Stripe payments, building subscription systems, or implementing secure checkout flows.JuridicFără avertismente★ 41,6 K↓ —
- pptx-quality-gateswshobson/agentsUse when validating or repairing an editable PPTX deck for geometry, accessibility, native editability, source lineage, and OOXML package integrity.DocumenteFără avertismente★ 41,6 K↓ —
- gke-batch-hpcgoogle/skillsRuns batch and HPC workloads on GKE, utilizing job queues and parallel processing. Use when running GKE batch jobs, configuring GKE HPC, or setting up GKE job queues. Don't use for standard web application deployments (use gke-app-onboarding instead).OficialDevOpsFără avertismente★ 21,5 K↓ —
- python-type-safetywshobson/agentsPython type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces, or configuring mypy/pyright.InginerieFără avertismente★ 41,6 K↓ —
- uv-package-managerwshobson/agentsMaster the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.InginerieFără avertismente★ 41,6 K↓ —
- bats-testing-patternswshobson/agentsMaster Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.TestareFără avertismente★ 41,6 K↓ —
- event-store-designwshobson/agentsDesign and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.DesignFără avertismente★ 41,6 K↓ —
- saga-orchestrationwshobson/agentsImplement saga patterns for distributed transactions and cross-aggregate workflows. Use this skill when implementing distributed transactions across microservices where 2PC is unavailable, designing compensating actions for failed order workflows that span inventory, payment, and shipping services, building event-driven saga coordinators for travel booking systems that must roll back hotel, flight, and car rental reservations atomically, or debugging stuck saga states in production where compensation steps never complete.InginerieFără avertismente★ 41,6 K↓ —
- cost-optimizationwshobson/agentsOptimize cloud costs across AWS, Azure, GCP, and OCI through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.DevOpsFără avertismente★ 41,6 K↓ —
- turborepo-cachingwshobson/agentsConfigure Turborepo for efficient monorepo builds with local and remote caching. Use when setting up Turborepo, optimizing build pipelines, or implementing distributed caching.AlteleFără avertismente★ 41,6 K↓ —
- gke-inferencegoogle/skillsDeploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. Use when deploying GKE inference servers, configuring GKE GPU resources for inference, or deploying LLMs on GKE. Don't use for migrating existing AI workloads to GKE (use google-cloud-solution-guided-gke-ai-migration), GKE RAG with Cloud SQL/AlloyDB (use google-cloud-solution-rag-enterprise-search-gke-sqldb), or batch/HPC (use gke-batch-hpc).OficialDevOpsFără avertismente★ 21,5 K↓ —
- gke-networkinggoogle/skillsPlans, configures, and manages core GKE cluster networking. Covers private clusters, VPC-native configurations, DNS, node egress, Dataplane V2, and IP planning. Use when designing GKE networking layouts, configuring private clusters, setting up Dataplane V2, planning GKE IP ranges, or managing VPC- native cluster modes. Don't use for application ingress, load balancing, or service networking (use gke-service-networking instead).OficialPlanificareFără avertismente★ 21,5 K↓ —
- vcpkggithub/awesome-copilotGuide for setting up vcpkg in C++ projects, managing dependency versions, and cross-compiling. Covers manifest initialization, CMake and Visual Studio integration, classic-to-manifest migration, version pinning, baselines, overrides, triplets, and cross-compilation. Use when a user is working with vcpkg project setup, installation, version management, or cross-platform builds. For specialized tasks, additional references cover custom registries and overlay ports (references/registries.md), CI/CD and binary caching (references/ci.md), and troubleshooting and dependency lifecycle (references/troubleshooting.md).DevOpsFără avertismente★ 40,4 K↓ —
- dependency-upgradewshobson/agentsManage major dependency version upgrades with compatibility analysis, staged rollout, and comprehensive testing. Use when upgrading framework versions, updating major dependencies, or managing breaking changes in libraries.TestareFără avertismente★ 41,6 K↓ —
- offerssickn33/agentic-awesome-skillsWhen the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment structure.DesignFără avertismente★ 48,4 K↓ —
- rag-implementationwshobson/agentsBuild Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.AlteleFără avertismente★ 41,6 K↓ —
- preference-optimizationwshobson/agentsAlign a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosing between preference-optimization methods, or when a DPO run needs hyperparameters or debugging.InginerieFără avertismente★ 41,6 K↓ —
- python-anti-patternswshobson/agentsUse this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.InginerieFără avertismente★ 41,6 K↓ —
google-cloud-solution-rag-enterprise-search-gke-sqldb
google/skills
OficialDevOpsActualizat ieri
De la autor
Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open-source inferencing framework, and Kubernetes containers to host all the application components. DON'T use this skill for fully-managed RAG, or SaaS search services, or when a non-SQL vector database is required.
Instalare
npx skills add google/skills --skill google-cloud-solution-rag-enterprise-search-gke-sqldb -a claude-code
Se instalează în .claude/skills/google-cloud-solution-rag-enterprise-search-gke-sqldb/ · 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: APACHE-2.0
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 95
Securitate100
Proveniență100
Întreținere100
Licență100
Adopție67
Fișiere (5)
- SKILL.md
- assets/output-template.md
- references/design-recommendations.md
- references/product-selection-recommendations.md
- references/related-documentation.md