Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
45,604 skills from 2,205 repositories · updated 9 hours ago
45,602 skills
- agent-platform-prompt-managementgoogle/skillsManages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform prompts.OfficialDevOpsNo warnings★ 21.6K↓ —
- google-cloud-solution-build-deploy-agentsgoogle/skillsDesigns, builds, and deploys AI agents or multi-agent systems on Google Cloud. Provides an interactive workflow to gather requirements, recommend a tailored architecture, and generate deployment instructions. Use when designing or implementing agentic systems on Google Cloud. Don't use for general Google Cloud solution architecture (use google-cloud-solution-architecture instead) or for narrow tasks targeting a single product without agent context.OfficialDevOpsNo warnings★ 21.6K↓ —
- convexsickn33/agentic-awesome-skillsConvex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.DevOpsNo warnings★ 48.5K↓ —
- 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).OfficialDevOpsNo warnings★ 21.6K↓ —
- ot-icssickn33/agentic-awesome-skillsAuthorized OT/ICS security assessment: Purdue-model zoning review, PLC/SCADA exposure, industrial protocol discovery, and passive-first evaluation discipline.SecurityNo warnings★ 48.5K↓ —Also in 1 other repo
- cloud-design-patternsgithub/awesome-copilotCloud design patterns for distributed systems architecture covering 42 industry-standard patterns across reliability, performance, messaging, security, and deployment categories. Use when designing, reviewing, or implementing distributed system architectures.DesignNo warnings★ 40.4K↓ —
- use-domsickn33/agentic-awesome-skillsUse Expo DOM components to run web code in a webview on native and as-is on web. Migrate web code to native incrementally.EngineeringNo warnings★ 48.5K↓ —
- google-cloud-solution-architecturegoogle/skillsInteractively discovers requirements and designs holistic, multi-product system architectures, solution blueprints, and deployment recommendations for complex workloads on Google Cloud. Use when designing end-to-end cloud solutions, selecting and integrating Google Cloud services, generating architecture diagrams, or conducting requirements discovery for new cloud workloads or migrations. Don't use for single-product tasks (use product-specific skills), initial onboarding or authentication (use google-cloud-recipe-*), Well-Architected Framework reviews or audits (use google-cloud-waf-*), or workloads covered by specialized solution skills.OfficialPlanningNo warnings★ 21.6K↓ —
- doublecheckgithub/awesome-copilotThree-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for human review.EngineeringNo warnings★ 40.4K↓ —
- slang-shader-engineergithub/awesome-copilotUse when working with Slang shaders, shader modules, HLSL-compatible GPU code, graphics pipelines, compute shaders, tessellation, ray tracing, parameter blocks, generics, interfaces, capabilities, cross-compilation, shader optimization, shader review, or C++ engine integration for Slang. Trigger on any mention of Slang, .slang files, slangc, SPIR-V from Slang, Slang modules, [shader("compute")], [shader("vertex")], or requests to write/review/refactor shader code with modern language features. Also trigger for Slang-to-HLSL/GLSL/Metal/CUDA cross-compile questions, or when the user says "shader" alongside "generics", "interfaces", "parameter blocks", "autodiff", or "capabilities".WritingNo warnings★ 40.4K↓ —
- cli-masterygithub/awesome-copilotInteractive training for the GitHub Copilot CLI. Guided lessons, quizzes, scenario challenges, and a full reference covering slash commands, shortcuts, modes, agents, skills, MCP, and configuration. Say "cliexpert" to start.EngineeringNo warnings★ 40.4K↓ —
- google-cloud-solution-agentic-ai-borderless-data-lakehousegoogle/skillsDiscovers 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).OfficialDevOpsNo warnings★ 21.6K↓ —
- em-dashgithub/awesome-copilotExpert on the history, origin, and correct use of the em dash. Use when writing or reviewing code, comments, or data files to avoid em and en dashes, defaulting to never using them and replacing any found with a hyphen (-). Includes strong knowledge of punctuation marks and the proper usage of punctuation characters when writing comments.WritingNo warnings★ 40.4K↓ —
- hf-clisickn33/agentic-awesome-skillsCurated upstream guidance for Hf Cli; use when the workflow matches the user goal.EngineeringNo warnings★ 48.5K↓ —
- gtm-ai-gtmgithub/awesome-copilotGo-to-market strategy for AI products. Use when positioning AI products, handling "who is responsible when it breaks" objections, pricing variable-cost AI, choosing between copilot/agent/teammate framing, or selling autonomous tools into enterprises.OtherNo warnings★ 40.4K↓ —
- ef-coregithub/awesome-copilotGet best practices for Entity Framework CoreOtherNo warnings★ 40.4K↓ —
- gke-custom-golden-image-discoverygoogle/skillsDiscovers golden base images for creating GKE custom node images based on technical specifications or context clues. Use when finding the golden base image for custom GKE node creation, mapping cluster configuration parameters (GKE version, OS, architecture, accelerators, gVisor, cgroups) to image names, or querying GKE base image maps. Don't use for general GKE cluster creation (use gke-cluster-creation) or standard node pool management (use gke-basics).OfficialMediaNo warnings★ 21.6K↓ —
- google-cloud-slo-alert-configurationgoogle/skillsConfigures Cloud Monitoring PromQL-based Service Level Objective (SLO) alerting policies on Google Cloud for resources registered in App Hub or individually specified. Generates Terraform output. Use when the user asks to configure an SLO or Service Level Objective. Don't use for standard alerting policies.OfficialDevOpsNo warnings★ 21.6K↓ —
- cloud-logging-configuration-basicsgoogle/skillsConfigure single-project Cloud Logging on Google Cloud: regional log buckets, log sinks, log views, restricting or hiding sensitive logs in the default view (_Default) filter, IAM permissions for views (Logs View Accessor, IAM conditions), logs-based metrics, log exclusions, and sampling. Don't use for cross-project logging or multi-project setups.OfficialOtherNo warnings★ 21.6K↓ —
- google-cloud-waf-operational-excellencegoogle/skillsGenerates operational guidance for CI/CD deployment pipelines, observability, monitoring, logging, and incident management on Google Cloud based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use when the user asks about operations-related topics like capacity management, change management, incident and problem management, configuration management, deployment automation using infrastructure as code (IaC), or operational health checks for Google Cloud workloads.OfficialDevOpsNo warnings★ 21.6K↓ —
- bill-gatessickn33/agentic-awesome-skillsSimulacao educativa de analise estrategica inspirada em temas publicos de Bill Gates; nao representa a pessoa real ou suas opinioes atuais.OtherNo warnings★ 48.5K↓ —
- cloud-run-basicsgoogle/skillsManages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).OfficialDevOpsNo warnings★ 21.6K↓ —
- google-cloud-global-frontend-configurationgoogle/skillsGuides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to best-practice configurations. Use when: - Designing, configuring, or deploying a Google Cloud global external Application Load Balancer, Cloud CDN, Cloud Armor WAF, or Service Extensions. - Discovering existing Google Cloud resources (Cloud Storage, MIGs, GKE, Cloud Run) to use as backends. - Generating production-grade Terraform HCL or gcloud CLI scripts for global external Application Load Balancers. - Actuating deployments via Infrastructure Manager or bash scripts, including IAM pre-checks. - Detecting, analyzing, or reconciling configuration drift on deployed global external Application Load Balancers. Don't use for: - Non-Google Cloud load balancing or security configurations. - Purely regional or internal load balancing setups (unless part of a hybrid/failover global design).OfficialDesignNo warnings★ 21.6K↓ —
- idea-ossickn33/agentic-awesome-skillsFive-phase pipeline (triage → clarify → research → PRD → plan) that turns a raw idea into four linked files: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased execution plan with mermaid user journey and kill criteria.ScienceNo warnings★ 48.5K↓ —
create-technical-spike
github/awesome-copilot
OtherUpdated 2 days ago
From the author
Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation.
Install
npx skills add github/awesome-copilot --skill create-technical-spike -a claude-code
Installs to .claude/skills/create-technical-spike/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
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Why 95
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Maintenance100
Licence100
Adoption71
Files (1)
- SKILL.md