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 10 ore
45.602 skill-uri
- gke-golden-pathgoogle/skillsProvides GKE golden path configuration defaults, production readiness checklists, and cluster default patterns. Use when designing GKE clusters, verifying GKE production readiness, or checking configurations against GKE defaults. Don't use for setting up workload autoscaling specifically (use gke-workload-scaling instead).OficialPlanificareFără avertismente★ 21,6 K↓ —
- dittosickn33/agentic-awesome-skillsUse when a user asks to mine or update a private, evidence-backed work profile from local Claude Code, Codex, Copilot CLI, or OpenCode sessions.InginerieFără avertismente★ 48,5 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★ 21,6 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★ 48,5 K↓ —
- hf-clisickn33/agentic-awesome-skillsCurated upstream guidance for Hf Cli; use when the workflow matches the user goal.InginerieFără avertismente★ 48,5 K↓ —
- satorisickn33/agentic-awesome-skillsClinically informed wisdom companion blending psychology and philosophy into a structured thinking partnerAlteleFără avertismente★ 48,5 K↓ —
- elk-stacksickn33/agentic-awesome-skillsDeploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis.DevOpsFără avertismente★ 48,5 K↓ —
- elon-musksickn33/agentic-awesome-skillsSimulacao ficticia e explicitamente rotulada de estilo comunicacional associado a Elon Musk, com analise de primeiros principios e verificacao separada de fatos.AlteleFără avertismente★ 48,5 K↓ —
- gke-cluster-creationgoogle/skillsPlans and executes GKE cluster creation, provisioning, and production readiness audits using pre-defined templates (Autopilot, Standard Regional, GPU/AI Inference, AI Hypercompute). Use when creating GKE clusters, provisioning GKE environments, selecting cluster modes, or auditing GKE clusters. Don't use for application onboarding or deployment configuration (use gke-app-onboarding instead).OficialDevOpsFără avertismente★ 21,6 K↓ —
- fal-audiosickn33/agentic-awesome-skillsText-to-speech and speech-to-text using fal.ai audio modelsMediaFără avertismente★ 48,5 K↓ —
- semantic-kernelgithub/awesome-copilotCreate, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.PlanificareFără avertismente★ 40,4 K↓ —
- hunt-csrfsickn33/agentic-awesome-skillsHunting skill for csrf vulnerabilities.SecuritateFără avertismente★ 48,5 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★ 21,6 K↓ —
- breakdown-epic-pmgithub/awesome-copilotPrompt for creating an Epic Product Requirements Document (PRD) for a new epic. This PRD will be used as input for generating a technical architecture specification.PlanificareFără avertismente★ 40,4 K↓ —
- powerbi-modelinggithub/awesome-copilotPower BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.DesignFără avertismente★ 40,4 K↓ —
- geo-auditsickn33/agentic-awesome-skillsFull website GEO+SEO audit with parallel subagent delegation.MarketingFără avertismente★ 48,5 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★ 21,6 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★ 21,6 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★ 21,6 K↓ —
- gpt-tastesickn33/agentic-awesome-skillsUse when generating elite GSAP-heavy frontend pages with strict AIDA structure, wide hero typography, and gapless bento grids.DesignFără avertismente★ 48,5 K↓ —
- scientific-critical-thinkingK-Dense-AI/scientific-agent-skillsEvaluates scientific claims and evidence quality. Applies to experimental design validity, biases and confounders, statistical interpretation, evidence grading frameworks (GRADE, Cochrane Risk of Bias), and teaching critical analysis. Supports evidence appraisal and identifying flaws; formal peer review writing belongs to peer-review.ȘtiințăFără avertismente★ 54,5 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★ 21,6 K↓ —
- speedsickn33/agentic-awesome-skillsLaunch RSVP speed reader for textAlteleFără avertismente★ 48,5 K↓ —
- folklore-variant-evidenceK-Dense-AI/scientific-agent-skillsRetrieves ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple indel through Folklore Clinical Variant Interpretation MCP. Used when a scientific agent must branch deterministically on resolved, ambiguous, not-found, invalid, unsupported, or unavailable variant outcomes; chain a resolved public variant into related literature or publication details; or preserve evidence provenance without accepting patient, phenotype, family, segregation, or private case data.ȘtiințăFără avertismente★ 54,5 K↓ —
tmux
sickn33/agentic-awesome-skills
AlteleActualizat ieri
De la autor
Expert tmux session, window, and pane management for terminal multiplexing, persistent remote workflows, and shell scripting automation.
Instalare
npx skills add sickn33/agentic-awesome-skills --skill tmux -a claude-code
Se instalează în .claude/skills/tmux/ · 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 instrucțiuniNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 95
Securitate100
Proveniență95
Întreținere100
Licență100
Adopție72
Fișiere (1)
- SKILL.md