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.
14.533 de skill-uri din 417 depozite · actualizat acum 1 oră
11.094 de skill-uri
- film-crewsickn33/agentic-awesome-skillsTurn a one-line AI video idea into a shot list and per-shot, model-ready prompts via a film crew (director, DP, gaffer, editor, script supervisor). Also fixes failing video prompts and diagnoses bad clips before a reroll. Works with Wan, LTX, Kling, Veo, Seedance, Hailuo, Runway.MediaFără avertismente★ 48,3 K↓ —
- agent-platform-rag-engine-managementgoogle/skillsManage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google Workspace RAG, or other RAG products like gRAG.OficialDateFără avertismente★ 21,5 K↓ —
- hunt-csrfsickn33/agentic-awesome-skillsHunting skill for csrf vulnerabilities.SecuritateFără avertismente★ 48,3 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★ 21,5 K↓ —
- hunt-corssickn33/agentic-awesome-skillsHunt CORS MisconfigurationAlteleFără avertismente★ 48,3 K↓ —
- 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↓ —
- fal-audiosickn33/agentic-awesome-skillsText-to-speech and speech-to-text using fal.ai audio modelsMediaFără avertismente★ 48,3 K↓ —
- google-cloud-storage-bucket-architectgoogle/skillsCreates Cloud Storage on Google Cloud (also known colloquially as GCS) buckets. Analyzes the workload (sensitive data, media hosting, ingestion, web hosting, archiving, backup, logging, analytics, AI/ML, or general-purpose), validates project-level security settings, and designs a secure-by-default, cost-effective configuration (location, storage class, uniform bucket-level access, public access prevention, soft delete, lifecycle) before creating it. Use whenever a user wants to create, make, set up, provision, or spin up a bucket, or needs object storage for an app, service, pipeline, or dataset — even a "simple" or "default" bucket, or when bucket creation is one step in a larger workflow. Outputs or executes the creation via gcloud, the JSON/REST API, Terraform, or SDK client libraries (C++, Java, Python, Go). Don't use for anything other than creating new buckets — for uploads, downloads, access changes, or reconfiguring existing buckets, use google-cloud-storage-basics.OficialPlanificareFără avertismente★ 21,5 K↓ —
- elon-musksickn33/agentic-awesome-skillsAgente que simula Elon Musk com profundidade psicologica e comunicacional de alta fidelidade. Ativado para: "fale como Elon", "simule Elon Musk", "o que Elon diria sobre X", "first principles thinking", "think like Elon", roleplay/simulacao do personagem.AlteleFără avertismente★ 48,3 K↓ —
- google-cloud-waf-operational-excellencegoogle/skillsGenerates operational guidance for CI/CD deployment pipelines, observability, monitoring, logging, and incident management on Google Cloud based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use when the user asks about operations-related topics like capacity management, change management, incident and problem management, configuration management, deployment automation using infrastructure as code (IaC), or operational health checks for Google Cloud workloads.OficialDevOpsFără avertismente★ 21,5 K↓ —
- elk-stacksickn33/agentic-awesome-skillsDeploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis.DevOpsFără avertismente★ 48,3 K↓ —
- cloud-monitoring-list-time-series-requestgoogle/skillsGenerates valid Cloud Monitoring ListTimeSeries requests and aggregation specifications from metric descriptors and resource parameters. Use when asked to create, generate, format, or build ListTimeSeries requests, JSON payloads, filter expressions, or aligner/reducer aggregations for Cloud Monitoring metrics and charts. Don't use for metric discovery or metric selection.OficialPlanificareFără avertismente★ 21,5 K↓ —
- detection-engineering-coverage-evaluationgoogle/skillsAutomates the end-to-end detection engineering workflow in Google SecOps using MCP tools. Use when fetching threat intelligence from blogs, generating Threat Detection Opportunities (TDOs), simulating attacker behavior with synthetic UDM events, evaluating rule coverage, and deploying gap-closing rules. Don't use for standalone YARA-L 2.0 rule authoring/tuning (use secops-detection-engineering), threat hunting, or SOC investigation.OficialDevOpsFără avertismente★ 21,5 K↓ —
- google-cloud-solution-build-deploy-agentsgoogle/skillsDesigns, builds, and deploys AI agents or multi-agent systems on Google Cloud. Provides an interactive workflow to gather requirements, recommend a tailored architecture, and generate deployment instructions. Use when designing or implementing agentic systems on Google Cloud. Don't use for general Google Cloud solution architecture (use google-cloud-solution-architecture instead) or for narrow tasks targeting a single product without agent context.OficialDevOpsFără avertismente★ 21,5 K↓ —
- design-uxsickn33/agentic-awesome-skillsUX / usability audit — heuristic evaluation of INTERACTIVE UIs (not just visual polish). Load with design when a UI "feels off", "sucks to use", is hard to learn, needs an instruction wall, or before shipping an interactive tool/editor/app.DesignFără avertismente★ 48,3 K↓ —
- design-mdsickn33/agentic-awesome-skillsAnalyze Stitch projects and synthesize a semantic design system into DESIGN.md filesDesignFără avertismente★ 48,3 K↓ —
- design-itsickn33/agentic-awesome-skillsRoutes frontend design tasks to 48 specific UI styles. Triggers for websites, app screens, or UI components requesting a specific aesthetic.DesignFără avertismente★ 48,3 K↓ —
- google-cloud-global-frontend-configurationgoogle/skillsGuides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to best-practice configurations. Use when: - Designing, configuring, or deploying a Google Cloud global external Application Load Balancer, Cloud CDN, Cloud Armor WAF, or Service Extensions. - Discovering existing Google Cloud resources (Cloud Storage, MIGs, GKE, Cloud Run) to use as backends. - Generating production-grade Terraform HCL or gcloud CLI scripts for global external Application Load Balancers. - Actuating deployments via Infrastructure Manager or bash scripts, including IAM pre-checks. - Detecting, analyzing, or reconciling configuration drift on deployed global external Application Load Balancers. Don't use for: - Non-Google Cloud load balancing or security configurations. - Purely regional or internal load balancing setups (unless part of a hybrid/failover global design).OficialDesignFără avertismente★ 21,5 K↓ —
- deed-pagesickn33/agentic-awesome-skillsPublish an HTML file or static folder to a permanent public https://<slug>.deed.page/ URL with one curl request. No account; the first publish returns a token for updates.AlteleFără avertismente★ 48,3 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★ 21,5 K↓ —
- gke-ai-troubleshooting-tpu-partition-overlapgoogle/skillsDiagnose and resolve GKE TPU slice creation failures (SliceCreationFailed) caused by partition overlap conflicts where requested TPU partitions or their nodes are already used by another slice or JobSet. Use when diagnosing GKE TPU slice creation failures with SliceCreationFailed partition or node conflicts. Don't use for general slice lifecycle states or slice provisioning failures without node overlap (use gke-ai-troubleshooting-tpu-dynamic-slices-monitoring), quota exhaustion, or unresponsive TPU nodes.OficialAlteleFără avertismente★ 21,5 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★ 21,5 K↓ —
- c-prosickn33/agentic-awesome-skillsReview and implement C systems code with explicit memory ownership, pointer bounds, error handling, and measured performance.InginerieFără avertismente★ 48,3 K↓ —
- axonxsickn33/agentic-awesome-skillsDevelop AxonX research plugins and operate quantitative research tasks through CLI or MCP, inspecting execution status, logs, artifacts, and lineage.ȘtiințăFără avertismente★ 48,3 K↓ —