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
- hunt-csrfsickn33/agentic-awesome-skillsHunting skill for csrf vulnerabilities.SecuritateFără avertismente★ 48,5 K↓ —
- torch-geometricK-Dense-AI/scientific-agent-skillsSupports PyTorch Geometric (PyG) graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.DateFără avertismente★ 54,5 K↓ —
- cloud-logging-cross-project-configurationgoogle/skillsConfigure and troubleshoot Google Cloud cross-project centralized logging and read-time aggregation. Use when: - Setting up log routing from multiple projects/folders/organizations to a central log bucket. - Creating cross-project log sinks and configuring central log buckets. - Troubleshooting cross-project routing. Don't use for single-project basic configurations.OficialAlteleFără avertismente★ 21,6 K↓ —
- fp-errorssickn33/agentic-awesome-skillsStop throwing everywhere - handle errors as values using Either and TaskEither for cleaner, more predictable codeInginerieFără avertismente★ 48,5 K↓ —
- geo-auditsickn33/agentic-awesome-skillsFull website GEO+SEO audit with parallel subagent delegation.MarketingFără avertismente★ 48,5 K↓ —
- pytest-coveragegithub/awesome-copilotRun pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.TestareFără avertismente★ 40,4 K↓ —
- tiny-steppinggithub/awesome-copilotIncremental development workflow that makes the smallest meaningful change per step and pauses for feedback, so the direction gets validated early before continuing. Use for careful, iterative implementation with continuous validation.ProductivitateFără avertismente★ 40,4 K↓ —
- goal-loopsickn33/agentic-awesome-skillsDraft and explain persistent goal-loop prompts for long-running agent work with clear stop conditions.AlteleFără avertismente★ 48,5 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↓ —
- google-cloud-networking-observabilitygoogle/skillsInvestigates Google Cloud networking issues by analyzing GCP logs, metrics, and diagnostics. Use when investigating dropped network traffic, packet drops, drop reasons, VPC Flow Logs (including Private Service Connect / PSC, serverless / App Engine Direct VPC, and cost estimation), NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics. Don't use for generic VM management or non-observability tasks.OficialDevOpsFără avertismente★ 21,6 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★ 21,6 K↓ —
- database-lookupK-Dense-AI/scientific-agent-skillsQueries documented public database APIs with explicit endpoints, filters, pagination, and provenance. Used when a scientific, regulatory, financial, or other database-backed fact must be retrieved reproducibly from a named source rather than inferred from general knowledge.DateFără avertismente★ 54,5 K↓ —
- managed-airflow-dag-troubleshootinggoogle/skillsProvides guidance for troubleshooting Apache Airflow DAGs (failed DAG runs and task instances) in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Use when figuring out reasons for DAG run or task instance failures. Don't use when looking for overall recommendations for Managed Airflow environment performance.OficialProductivitateFără avertismente★ 21,6 K↓ —
- google-cloud-waf-cost-optimizationgoogle/skillsEvaluates Google Cloud workloads for cost efficiency and FinOps alignment using the Google Cloud Well-Architected Framework Cost Optimization pillar. Use when the user asks to analyze Google Cloud spend, reduce cloud bills, rightsize resources (for example, Compute, GKE, Storage, Databases), evaluate discount options (for example, CUDs, SUDs, Spot VMs), or eliminate idle capacity. Do not use for standalone product pricing lookups or non-cost architecture design.OficialDesignFără avertismente★ 21,6 K↓ —
- implementsickn33/agentic-awesome-skillsImplement a piece of work based on a PRD or set of issues.PlanificareFără avertismente★ 48,5 K↓ —
- julia-prosickn33/agentic-awesome-skillsMaster Julia 1.10+ with modern features, performance optimization, multiple dispatch, and production-ready practices.AlteleFără avertismente★ 48,5 K↓ —
- kustomizesickn33/agentic-awesome-skillsCustomize Kubernetes manifests without templating using Kustomize.DevOpsFără avertismente★ 48,5 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★ 21,6 K↓ —
- langgraphsickn33/agentic-awesome-skillsExpert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern.InginerieFără avertismente★ 48,5 K↓ —
- cloud-sql-basicsgoogle/skillsThis file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL creates an open-source MySQL instance, the resulting resource is a Cloud SQL for MySQL instance that Google Cloud manages. Cloud SQL handles backups, high availability, and secure connectivity for relational database workloads.OficialDateFără avertismente★ 21,6 K↓ —
- openshiftsickn33/agentic-awesome-skillsManage Red Hat OpenShift clusters and deployments.DevOpsFără avertismente★ 48,5 K↓ —
- conventional-branchgithub/awesome-copilotCreate Git branches following the Conventional Branch specification (feature/, bugfix/, hotfix/, release/, chore/, plus AI agent prefixes ai/, copilot/, cursor/, claude/, codex/). Use when creating a new branch, naming a branch, or checking whether a branch name complies with the spec.PlanificareFără avertismente★ 40,4 K↓ —
- cloud-monitoring-metric-selectiongoogle/skillsRetrieve, query, and identify relevant Cloud Monitoring metric descriptors on Google Cloud for a service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, etc.). Use when asked to find, list, search, or discover GCP metric types, names, kind/value schemas, or descriptors.OficialDevOpsFără avertismente★ 21,6 K↓ —
- agent-platform-endpoint-managementgoogle/skillsManages Agent Platform serving endpoints. Use when you need to create, list, describe, update, or delete serving endpoints for model deployment on Agent Platform. Also use when troubleshooting endpoint permission, quota, or resource busy errors. Don't use for deploying models to endpoints or for running model evaluations.OficialDevOpsFără avertismente★ 21,6 K↓ —
dataset-curation
wshobson/agents
RedactareActualizat alaltăieri
De la autor
Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring sequence packing, generating synthetic training data, or writing a dataset card before a run.
Instalare
npx skills add wshobson/agents --skill dataset-curation -a claude-code
Se instalează în .claude/skills/dataset-curation/ · 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
Adopție71
Fișiere (3)
- SKILL.md
- references/formats-and-templates.md
- references/synthetic-data.md