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.
37.891 de skill-uri din 1.729 de depozite · actualizat acum 12 minute
37.891 de skill-uri
- azure-pricinggithub/awesome-copilotFetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.DevOpsFără avertismente★ 40,4 K↓ —
- create-tldr-pagegithub/awesome-copilotCreate a tldr page from documentation URLs and command examples, requiring both URL and command name.AlteleFără avertismente★ 40,4 K↓ —
- gke-platform-securitygoogle/skillsPlans, configures, and hardens platform-level Google Kubernetes Engine (GKE) cluster security. Covers cluster add-ons (Secret Manager enablement), RBAC hardening (disabling insecure bindings, audit tools), Binary Authorization, Secrets Encryption (--database-encryption-key), Security Posture (--security-posture), enabling Shielded Nodes, GKE Sandbox cluster enablement, GKE IAM roles, and cross-service authentication IAM patterns. Use when securing cluster control planes, hardening GKE RBAC, enabling Shielded Nodes, enabling GKE Sandbox runtime, enabling cluster-wide security add-ons, or managing GKE IAM roles. Don't use for Workload Identity (use gke-workload-identity) or workload-level security (SecretProviderClass, PSS, NetPol, gVisor pod runtimeClassName; use gke-workload-security).OficialSecuritateFără avertismente★ 21,5 K↓ —
- page-crosickn33/agentic-awesome-skillsAnalyze and optimize individual pages for conversion performance.MarketingFără avertismente★ 48,4 K↓ —
- sql-code-reviewgithub/awesome-copilotUniversal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL injection prevention, access control, code standards, and anti-pattern detection. Complements SQL optimization prompt for complete development coverage.DateFără avertismente★ 40,4 K↓ —
- mcp-deploy-manage-agentsgithub/awesome-copilotSkill converted from mcp-deploy-manage-agents.prompt.mdDevOpsFără avertismente★ 40,4 K↓ —
- pytest-coveragegithub/awesome-copilotRun pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.TestareFără avertismente★ 40,4 K↓ —
- workoraisickn33/agentic-awesome-skillsWorkorAI talent-marketplace skill: candidates search jobs and manage applications; employers run the job lifecycle and get ranked candidate matches with white-box fit explanations.AlteleFără avertismente★ 48,4 K↓ —
- nextflowK-Dense-AI/scientific-agent-skillsBuilds, runs, and debugs Nextflow DSL2 pipelines and nf-core workflows. Use for Nextflow, nf-core, .nf files, nextflow.config, processes/channels/operators, samplesheets, nf-test, modules/subworkflows, container and executor configuration, HPC/SLURM or cloud deployment, and failed or resumed pipeline runs.TestareFără avertismente★ 54,4 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★ 21,5 K↓ —
- dataladK-Dense-AI/scientific-agent-skillsRetrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance with datalad run, rerun, and containers-run. Use when cloning or fetching data from OpenNeuro, DANDI, datasets.datalad.org, or any DataLad dataset; when a file in a dataset reads as a broken symlink or a small pointer instead of real data; when an analysis needs a machine-readable record of how each output was produced so it can be re-executed; or when publishing a dataset to siblings such as a GitHub repository plus a storage remote. Also use to decide between DataLad and plain Git for a data-carrying repository.ȘtiințăFără avertismente★ 54,4 K↓ —Apare și în 1 alt depozit
- hf-mcpsickn33/agentic-awesome-skillsUse Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.AlteleFără avertismente★ 48,4 K↓ —Apare și în 1 alt depozit
- kpi-dashboard-designwshobson/agentsDesign effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use this skill when building an executive SaaS metrics dashboard tracking MRR, churn, and LTV/CAC ratios; designing an operations center with live service health and request throughput; creating a cohort retention analysis view for a product team; or debugging a dashboard where metrics contradict each other due to inconsistent calculation methodology.DesignFără avertismente★ 41,6 K↓ —
- nft-standardswshobson/agentsImplement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.AlteleFără avertismente★ 41,6 K↓ —
- bug-bountysickn33/agentic-awesome-skillsComplete bug bounty workflowProductivitateFără avertismente★ 48,4 K↓ —
- remove-ai-marksguillaumemeyer/watermarks-removerRemove multi-vendor AI provenance marks: invisible Unicode (Layer A), statistical text watermarks via rewrite (Layer B, always offer), and C2PA/EXIF/XMP/container metadata on PNG/JPEG/WebP/SVG/PDF/DOCX/ODT/HTML/MD/TEX. Covers Claude, Gemini/SynthID-class, OpenAI provenance, and open-LLM sampling marks. Use when the user asks to strip watermarks, remove C2PA/Content Credentials, clean AI metadata, remove invisible Unicode, anti-detect clean AI output, or runs /remove-ai-marks (aliases: /remove-claude-marks).DocumenteFără avertismente★ 24,8 K↓ —
- pricing-strategyalirezarezvani/claude-skills380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8 more coding agents — engineering, marketing, product, compliance, C-level advisory, research, business operations, commercial & finance, and your daily productivity skills.ȘtiințăFără avertismente★ 28,6 K↓ —
- furniture-fitpascalorg/editorAssess whether furniture fits in a measured Pascal room or layout. Use this skill for sofa, table, bed, cabinet, appliance, staging, placement, collision, clearance, or rotated-footprint questions. Produce a tool-backed spatial report that distinguishes footprint fit from unsupported height, door-swing, assembly, and delivery-route claims, and return insufficient evidence when dimensions or scale are missing.AlteleFără avertismente★ 25,1 K↓ —
- distillytitanwings/distillySet up the owner profile so a personal agent knows who it works for (first-run setup, "get to know me"), or distill colleague, relationship, or celebrity source material into reusable Person Profiles for agents.AlteleFără avertismente★ 26 K↓ —
- pascal-3dpascalorg/editorConnect to Pascal and use its MCP tools to create, inspect, edit, validate, save, or hand off editable 3D building scenes. Use this skill whenever a user asks an agent to work in Pascal, make a room or building model, inspect a Pascal project, perform spatial edits, connect Pascal MCP, or return a verified Pascal editor link. It also governs safe local, existing-account, and explicitly authorized autonomous setup.RedactareFără avertismente★ 25,1 K↓ —
- open-prpascalorg/editorOpen or update a pull request on pascalorg/editor from the current branch, describing only what the branch actually did. Use when the user asks to open/create a PR, push and PR, or ship a branch in the editor repo.RedactareFără avertismente★ 25,1 K↓ —
- review-architecturepascalorg/editorReview a PR against the Pascal architectural rules — package boundaries (core/viewer/editor/nodes), the registry-driven composition model (def.geometry / def.renderer / def.system), legacy-dispatch regressions, the slots + world-scale-UV convention for new nodes/geometry, hook hygiene (useEditor/useScene/useViewer), and selector performance. Use when the user asks to review a PR, audit a branch, or check that changes respect the codebase's architecture.PlanificareFără avertismente★ 25,1 K↓ —
- gws-calendargoogleworkspace/cliGoogle Calendar: Manage calendars and events.ProductivitateFără avertismente★ 31,8 K↓ —
- brainstorm-experiments-newphuryn/pm-skillsDesign lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating pretotypes, or testing market demand.PlanificareFără avertismente★ 27,3 K↓ —
google-cloud-solution-agentic-ai-borderless-data-lakehouse
google/skills
OficialDevOpsActualizat ieri
De la autor
Discovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents. Use when architecting multi-cloud storage infrastructure (Cloud Storage, AWS S3, Azure Blob), establishing ingestion and AI serving subsystems, configuring Cross-Cloud Interconnect, or deploying Gemini Enterprise Agent Platform and BigQuery data agents. Don't use for single-cloud data warehouses, or when the focus is on Knowledge Catalog metadata governance and Spark-driven IDE analytics workflows (use google-cloud-solution-agentic-analytics-spark-knowledge-catalog instead).
Instalare
npx skills add google/skills --skill google-cloud-solution-agentic-ai-borderless-data-lakehouse -a claude-code
Se instalează în .claude/skills/google-cloud-solution-agentic-ai-borderless-data-lakehouse/ · 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: APACHE-2.0
Verificări de siguranță pe SKILL.md
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De ce 95
Securitate100
Proveniență100
Întreținere100
Licență100
Adopție67
Fișiere (5)
- SKILL.md
- assets/output-template.md
- references/design_recommendations.md
- references/product_mapping.md
- references/product_renaming.md