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 8 ore
45.602 skill-uri
- tldr-promptgithub/awesome-copilotCreate tldr summaries for GitHub Copilot files (prompts, agents, instructions, collections), MCP servers, or documentation from URLs and queries.ProductivitateFără avertismente★ 40,4 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↓ —
- devops-rollout-plangithub/awesome-copilotGenerate comprehensive rollout plans with preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans for infrastructure and application changesDevOpsFără avertismente★ 40,4 K↓ —
- google-cloud-storage-basicsgoogle/skillsStores, retrieves, and manages data as objects in Cloud Storage on Google Cloud (also known colloquially as GCS) buckets. Use when you need to interact with Cloud Storage — set up a Storage MCP server (remote or local Toolbox), create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed URLs, control access (IAM, ACLs, public access prevention), set storage classes (Standard, Nearline, Coldline, Archive), manage lifecycle and cost, protect data (versioning, CMEK, retention, Bucket Lock, holds, soft delete), host static websites, trigger Pub/Sub notifications, mount buckets (gcsfuse), or optimize performance. Covers gcloud storage / gsutil, JSON/XML APIs, client libraries, Terraform, and Cloud Storage MCP servers. Don't use for generic MCP setup that doesn't mention Cloud Storage, other MCP servers, block storage (Persistent Disk), BigQuery, or databases (Cloud SQL, Spanner, Bigtable, Firestore).OficialDevOpsFără avertismente★ 21,6 K↓ —
- gh-attachsickn33/agentic-awesome-skillsUpload and download GitHub user-attachments (screenshots, PDFs, zips, videos) from the terminal; use when asked to attach or embed a file in a PR, issue, or comment, or download an attachment URL.AlteleFără avertismente★ 48,5 K↓ —
- developing-genkit-pythongoogle/skillsDevelop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when encountering Genkit errors, import issues, or API problems.OficialInginerieFără avertismente★ 21,6 K↓ —
- google-cloud-waf-securitygoogle/skillsGenerates security-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate workloads, identify security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security.OficialSecuritateFără avertismente★ 21,6 K↓ —
- markdown-mermaid-writingK-Dense-AI/scientific-agent-skillsWrites scientific Markdown documentation and Mermaid diagrams for workflows, relationships, timelines, and schemas. Provides syntax references, document templates, accessibility guidance, and version-aware rendering checks. Use when a user requests Markdown, Mermaid, or a text-based structural diagram; quantitative scientific figures require suitable plotting tools.RedactareFără avertismente★ 54,5 K↓ —
- hunt-cicdsickn33/agentic-awesome-skillsHunt CI/CD pipeline vulnerabilitiesSecuritateFără avertismente★ 48,5 K↓ —
- managed-airflow-migrationsgoogle/skillsProvides guidance for migrating Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers migration to Airflow 2.11.1 (MSAA Gen 2 and 3) and Airflow 3 (MSAA Gen 3), including environment inspection, GCS download/upload and scanning patterns for breaking changes. Use when migrating the DAG code to newer Airflow version. Don't use when checking DAG run failures unrelated to code migration.OficialInginerieFără avertismente★ 21,6 K↓ —
- google-mobile-ads-get-startedgoogle/skillsProvides instructions for integrating the Google Mobile Ads (GMA) SDK. Use this skill when the user wants to get started with, install, integrate, set up, or configure the SDK for AdMob or Ad Manager, GMA Next-Gen SDK or mobile ads framework in an Android, iOS, or Unity application.OficialMarketingFără avertismente★ 21,6 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★ 21,6 K↓ —
- google-mobile-ads-rewardedgoogle/skillsProvides instructions for implementing, integrating, or configuring Google Mobile Ads (GMA) SDK rewarded ads in Android, iOS, or Unity mobile applications. Use when the task involves setting up rewarded ads. Don't use for "rewarded interstitial" ads.OficialMarketingFără avertismente★ 21,6 K↓ —
- bigquery-troubleshootinggoogle/skillsProvides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system performance issues, or unexpectedly expensive workloads. Use when interpreting symptoms, isolating bottlenecks, diagnosing cost spikes (on-demand query spend, capacity slot autoscaling, storage growth), execution graph stages or substep variables, identifying root causes, and determining remediation steps. Don't use for writing or optimizing SQL, proactive capacity planning, or storage layout design (use bigquery-optimization), or when the user already knows which telemetry they want and just needs the query (use bigquery-observability).OficialDateFără avertismente★ 21,6 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★ 21,6 K↓ —
- kustomizesickn33/agentic-awesome-skillsCustomize Kubernetes manifests without templating using Kustomize.DevOpsFără avertismente★ 48,5 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↓ —
- google-cloud-scc-querygoogle/skillsQueries and retrieves active security findings, external exposures, toxic combinations, vulnerabilities, threats, and sensitive data risks from Security Command Center on Google Cloud. Use when retrieving details for a security finding by its name, validating finding scope (e.g., verifying findingClass is TOXIC_COMBINATION, VULNERABILITY, EXTERNAL_EXPOSURE, or THREAT), or fetching finding details for triage. Don't use to draft remediations, apply patches, or execute configurations.OficialSecuritateFără avertismente★ 21,6 K↓ —
- fedora-linux-triagegithub/awesome-copilotTriage and resolve Fedora issues with dnf, systemd, and SELinux-aware guidance.AlteleFără avertismente★ 40,4 K↓ —
- gemini-interactions-apigoogle/skillsGuides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, and function calling on the Agent Platform.OficialInginerieFără avertismente★ 21,6 K↓ —
- placecallsickn33/agentic-awesome-skillsPlace real outbound phone calls to US businesses through the PlaceCall API: book, ask, get quotes, then read the outcome and transcript.InginerieFără avertismente★ 48,5 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★ 21,6 K↓ —
- consciousness-councilK-Dense-AI/scientific-agent-skillsStructures a multi-perspective council exercise for decisions, research trade-offs, and creative challenges. Simulates thinking archetypes, separates evidence from assumptions and values, and synthesizes a conditional recommendation. Use when the user requests a council, panel, devil's advocate analysis, "mind council", or deliberate comparison of perspectives on a difficult choice.ȘtiințăFără avertismente★ 54,5 K↓ —
- benchling-integrationK-Dense-AI/scientific-agent-skillsBenchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.InginerieFără avertismente★ 54,5 K↓ —
shadcn
sickn33/agentic-awesome-skills
DesignActualizat ieri
De la autor
Manages shadcn/ui components and projects, providing context, documentation, and usage patterns for building modern design systems.
Instalare
npx skills add sickn33/agentic-awesome-skills --skill shadcn -a claude-code
Se instalează în .claude/skills/shadcn/ · 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
Niciun avertisment.
De ce 95
Securitate100
Proveniență95
Întreținere100
Licență100
Adopție72
Fișiere (13)
- SKILL.md
- agents/openai.yml
- assets/shadcn-small.png
- assets/shadcn.png
- cli.md
- customization.md
- evals/evals.json
- mcp.md
- rules/base-vs-radix.md
- rules/composition.md
- rules/forms.md
- rules/icons.md
- încă 1