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 6 ore
45.602 skill-uri
- aws-skillssickn33/agentic-awesome-skillsPlan and review AWS architecture and infrastructure changes using the upstream AWS skill collection.DevOpsFără avertismente★ 48,5 K↓ —
- harness-engineeringgithub/awesome-copilotAdopt repository-level harness engineering for coding agents. Use when a user wants to prevent repeated AI coding-agent mistakes by turning failures into durable instructions, drift checks, regression tests, failure memory, and adoption reports tailored to the target repository.TestareFără avertismente★ 40,4 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★ 21,6 K↓ —
- pytest-coveragegithub/awesome-copilotRun pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.TestareFără avertismente★ 40,4 K↓ —
- bgpt-paper-searchK-Dense-AI/scientific-agent-skillsSearches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance. Use for literature reviews, evidence synthesis, and finding experimental details beyond abstracts.ȘtiințăFără avertismente★ 54,5 K↓ —
- optimize-for-gpuK-Dense-AI/scientific-agent-skillsGPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and GPU acceleration is a plausible option, even if the user does not name CUDA.DateFără avertismente★ 54,5 K↓ —
- c4-contextsickn33/agentic-awesome-skillsExpert C4 Context-level documentation specialist. Creates high-level system context diagrams, documents personas, user journeys, system features, and external dependencies.ProductivitateFără avertismente★ 48,5 K↓ —
- career-opssickn33/agentic-awesome-skillsMulti-CLI job-search command center: evaluate offers, scan portals, tailor CVs, track applications, prep interviews. Invoke per mode.PlanificareFără avertismente★ 48,5 K↓ —
- ui-screenshotsgithub/awesome-copilotCapture screenshots of web apps during development using Playwright and PIL. Supports full-page captures, interactive states, and an iterate-on-crop workflow that avoids slow re-screenshots.DesignFără avertismente★ 40,4 K↓ —
- 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★ 48,5 K↓ —
- gemini-apigoogle/skillsUse when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.OficialInginerieFără avertismente★ 21,6 K↓ —
- open-code-reviewalibaba/open-code-reviewPerforms AI-powered code review on Git changes using the `ocr` CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply fixes when requested. With appropriate review rules, can detect various types of issues including bugs, security vulnerabilities, performance problems, and code quality concerns.InginerieFără avertismente★ 48,2 K↓ —
- open-code-review-delegatealibaba/open-code-reviewDelegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities.InginerieFără avertismente★ 48,2 K↓ —
- google-mobile-ads-interstitialgoogle/skillsProvides instructions for implementing, integrating, or configuring Google Mobile Ads (GMA) SDK interstitial ads in Android, iOS, or Unity mobile applications. Use when the task involves setting up interstitial ads. Don't use for "rewarded interstitial" ads.OficialMarketingFără avertismente★ 21,6 K↓ —
- google-cloud-scc-remediationgoogle/skillsRemediates Google Cloud Security Command Center findings, including IAM permission fixes, cloud resource misconfigurations, vulnerabilities, and Toxic Combinations. Use when asked to fix, remediate, or mitigate a Security Command Center finding or address attack paths. Don't use for general IAM policy querying without a Security Command Center finding. For runtime threat detections, this skill provides containment and investigation guidance rather than automated configuration fixes.OficialSecuritateFără avertismente★ 21,6 K↓ —
- ginkgo-cloud-labK-Dense-AI/scientific-agent-skillsGuides protocol selection, input preparation, pricing checks, and browser ordering on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio). Applies to cell-free, E. coli, and Pichia protein expression; HiBiT, A280, and LabChip readouts; IVT mRNA/circRNA synthesis; thermal shift assays; Echo-MS methods; SPR target onboarding; plate-reader assay onboarding; and fluorescent pixel art.BrowserFără avertismente★ 54,5 K↓ —
- google-cloud-waf-reliabilitygoogle/skillsEvaluates, designs, and improves the reliability, resilience, availability, fault tolerance, and disaster recovery (DR) of Google Cloud workloads based on the design principles and recommendations in the Reliability pillar of the Google Cloud Well-Architected Framework. Use when the user asks about reliability-related topics like workload uptime, designing for high availability (HA) or DR, setting and meeting RTO/RPO targets, SRE best practices, backup strategies, multi-region failover, or fault-tolerant architecture on Google Cloud. Don't use for other Well-Architected Framework pillars such as Cost Optimization, Operational Excellence, or Security, or for hands-on resource deployment and live incident troubleshooting.OficialSecuritateFără avertismente★ 21,6 K↓ —
- cellxgene-censusK-Dense-AI/scientific-agent-skillsQueries the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.ProductivitateFără avertismente★ 54,5 K↓ —
- gke-storage-troubleshootinggoogle/skillsDiagnoses GKE persistent-storage failures — volume attach/mount errors (Regional PD on optimized VMs, fsGroup mount timeouts), disk-performance and node storage-pressure issues, slow-disk Pod-creation failures, volume-expansion problems, Local SSD / Hyperdisk Storage Pool creation errors, and Cloud Storage FUSE OOM. Use when Pods are stuck in ContainerCreating, volumes fail to attach or mount, or nodes report storage pressure. Don't use for routine storage provisioning or StorageClass/PVC authoring (see the gke-storage skill).OficialAlteleFără avertismente★ 21,6 K↓ —
- signal-writegithub/awesome-copilotEmit structured agent signals — hands-up, blocked, done, checkpoint, partnership. Signals are written as JSON to .signals/ for dashboard consumption and noted in the journal for persistence.RedactareFără 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↓ —
- secops-detection-engineeringgoogle/skillsAuthor, validate, test, and deploy YARA-L 2.0 detection rules and evaluate end-to-end detection coverage gaps in Google SecOps. Use when writing new detection rules, tuning existing rules, validating syntax, testing logic against historical telemetry, or evaluating detection coverage against threat intelligence blogs, CVE disclosures, and Threat Detection Opportunities (TDOs) using synthetic UDM events and long-running coverage analysis. Don't use for alert triage (use secops-triage), deep forensic event reconstruction on infected hosts (use secops-investigate), or case management operations (use secops-cases).OficialSecuritateFără avertismente★ 21,6 K↓ —
- vscode-ext-localizationgithub/awesome-copilotGuidelines for proper localization of VS Code extensions, following VS Code extension development guidelines, libraries and good practicesInginerieFără avertismente★ 40,4 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↓ —
gke-manifest-generation
google/skills
De la autor
Generates 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).
Instalare
npx skills add google/skills --skill gke-manifest-generation -a claude-code
Se instalează în .claude/skills/gke-manifest-generation/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Fișiere (6)
- SKILL.md
- references/ai-inference.md
- references/attribution.md
- references/basic-workload.md
- references/gateway-api.md
- references/network-policy.md