4 344 DevOps skills from 392 authors. They ship releases, run infrastructure and keep watch over what is deployed. Half of them fit into 2 095 tokens or less — that is what one costs your context window when the agent loads it. 513 ship runnable scripts rather than instructions alone. 28 of them cannot work without an MCP server, most often rube. We also found 633 copies of these same skills sitting in other people's repositories — counted once here, not 633 times.
4 344 unique 392 authors 2 063 updated this month 579 from vendors
Prefer Agent Auth and MCP-backed providers for external services, account access, email, deployment, third-party actions, and other tasks that can be completed through connected capabilities. Use when the agent should search AA capabilities before using non-AA integrations, should read MCP resources or runbooks for a service, or should fall back only after confirming AA cannot complete the requested task.
Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).
Cloudflare Workers, KV, Durable Objects, and edge computing development. Use for serverless APIs, caching, rate limiting, real-time features. Activate on "Workers", "KV", "Durable Objects", "wrangler", "edge function", "Cloudflare". NOT for Cloudflare Pages configuration (use deployment docs), DNS management, or general CDN settings.
Build production computer vision pipelines for object detection, tracking, and video analysis. Handles drone footage, wildlife monitoring, and real-time detection. Supports YOLO, Detectron2, TensorFlow, PyTorch. Use for archaeological surveys, conservation, security. Activate on "object detection", "video analysis", "YOLO", "tracking", "drone footage". NOT for simple image filters, photo editing, or face recognition APIs.
Expert data engineer for ETL/ELT pipelines, streaming, data warehousing. Activate on: data pipeline, ETL, ELT, data warehouse, Spark, Kafka, Airflow, dbt, data modeling, star schema, streaming
Expert DevOps engineer for CI/CD, IaC, Kubernetes, and deployment automation. Activate on: CI/CD, GitHub Actions, Terraform, Docker, Kubernetes, Helm, ArgoCD, GitOps, deployment pipeline,
Write production-grade Dockerfiles, docker-compose configurations, multi-stage builds, and container optimization. Activate on "Dockerfile", "docker", "docker-compose", "container", "multi-stage build", "docker image", "container optimization", "docker security". NOT for Kubernetes orchestration, cloud-specific container services (ECS, Cloud Run), or CI/CD pipelines (use github-actions-pipeline-builder).
Advanced CV for infrastructure inspection including forest fire detection, wildfire precondition assessment, roof inspection, hail damage analysis, thermal imaging, and 3D Gaussian Splatting reconstruction. Expert in multi-modal detection, insurance risk modeling, and reinsurance data pipelines. Activate on "fire detection", "wildfire risk", "roof inspection", "hail damage", "thermal analysis", "Gaussian Splatting", "3DGS", "insurance inspection", "defensible space", "property assessment", "catastrophe modeling", "NDVI", "fuel load". NOT for general drone flight control, SLAM, path planning, or sensor fusion (use drone-cv-expert), GPU shader development (use metal-shader-expert), or generic object detection without inspection context (use clip-aware-embeddings).
Design error handling strategies for TypeScript and Python applications — exception hierarchies, Result/Either types, retry patterns, error boundaries, and structured error logging. Use when designing error handling architecture, choosing between exceptions and Result types, implementing retry logic, or building error recovery flows. Activate on "error handling", "exception hierarchy", "Result type", "retry pattern", "circuit breaker", "error boundary", "Pokemon exception". NOT for debugging specific runtime errors, logging infrastructure setup, or monitoring/alerting configuration.
Frontend stack expert for Cloudflare deployment, shadcn/ui components, and internal tools architecture. Guides technology choices, deployment patterns, and design system integration.
Expert debugger for Next.js + Cloudflare Workers + Supabase stacks. Systematic troubleshooting for auth, caching, workers, RLS, CORS, and build issues. Activate on: ''debug'', ''not working'',
Process, analyze, and visualize geospatial data at scale. Handles drone imagery, GPS tracks, GeoJSON optimization, coordinate transformations, and tile generation. Use for mapping apps, drone data processing, location-based services. Activate on "geospatial", "GIS", "PostGIS", "GeoJSON", "map tiles", "coordinate systems". NOT for simple address validation, basic distance calculations, or static map embeds.
Build production CI/CD pipelines with GitHub Actions. Implements matrix builds, caching, deployments, testing, security scanning. Use for automated testing, deployments, release workflows. Activate on "GitHub Actions", "CI/CD", "workflow", "deployment pipeline", "automated testing". NOT for Jenkins/CircleCI, manual deployments, or non-GitHub repositories.
Designs and orchestrates a realistic interview simulation platform with voice AI, whiteboard evaluation, gaze-tracking proctoring, and mobile spaced repetition. Use for building mock interview infrastructure, configuring sessions, and adaptive difficulty. Activate on "interview simulator", "mock interview", "practice session", "voice mock". NOT for individual round-type coaching, resume writing, or prep timeline coordination.
Structured logging, distributed tracing, and metrics for production applications. [What: OpenTelemetry setup, log level strategy, correlation IDs, SLI/SLO alerting thresholds, Grafana dashboard logging, observability, OpenTelemetry, OTel, structured logs, distributed tracing, correlation ID, metrics, Grafana, Prometheus, PagerDuty, Winston, Pino, structlog, log levels, SLI, SLO, alerting] NOT for application performance profiling (use a profiler), load testing, or database query optimization.'
Renders Mermaid diagrams to SVG, PNG, and PDF in both web and offline contexts. Covers client-side lazy loading, SSR trade-offs, CLI batch export, and native Rust rendering. Use when exporting diagrams to images, optimizing Mermaid rendering performance on web pages, setting up CI/CD diagram pipelines, or choosing a rendering library. Activate on "render mermaid", "export diagram", "mermaid to png", "mermaid to svg", "mermaid performance", "diagram export". NOT for writing Mermaid syntax (use mermaid-graph-writer), general image processing, or non-Mermaid diagram formats.
Microservice architecture patterns — service decomposition, inter-service communication, API gateway, saga pattern, event-driven architecture, service mesh, circuit breaker, CQRS, event sourcing. Activate on "microservices", "service decomposition", "saga pattern", "API gateway", "event-driven", "service mesh", "circuit breaker", "CQRS", "event sourcing", "bounded context", "strangler fig", "distributed transactions", "choreography vs orchestration". NOT for monolith design, serverless functions, or Kubernetes infrastructure.
Coaches end-to-end ML system design interviews covering inference pipelines, recommendation systems, RAG, feature stores, and monitoring. Use for L6+ design rounds, ML architecture whiteboarding, system design practice, serving tradeoff analysis. Activate on "ML system design", "ML interview", "recommendation system design", "RAG architecture", "feature store design", "model serving". NOT for coding interviews, behavioral questions, ML theory quizzes, or paper implementations.
Expert in Next.js 14/15 App Router architecture, React Server Components (RSC), Server Actions, and modern full-stack React development. Specializes in routing patterns, data fetching strategies, caching, streaming, and deployment optimization.
Application performance profiling and bottleneck identification — Node.js profiling, Chrome DevTools, flame graphs, memory leak detection, CPU profiling, React rendering performance. Activate on "profiling", "performance bottleneck", "flame graph", "memory leak", "slow app", "CPU profiling", "heap snapshot", "React re-renders", "EXPLAIN ANALYZE", "event loop lag", "clinic.js", "Core Web Vitals". NOT for infrastructure monitoring or observability (use logging-observability), load testing (use a load-testing skill), or database schema optimization.
>- Multi-agent coordination daemon for coding agents. Use for deterministic port claims, session tracking, salvage, file claims, notes, pub/sub, tuple-space coordination, background fleets, and debugging multi-agent failures across Claude Code, Codex, Gemini CLI, Cursor, or Windsurf. NOT for production deploy orchestration, Docker or Kubernetes networking, or cloud service discovery.
Docusaurus build health validation and deployment safety for Claude Skills showcase. Pre-commit MDX validation (Liquid syntax, angle brackets, prop mismatches), pre-build link checking, post-build health reports. Activate on 'build errors', 'commit hooks', 'deployment safety', 'site health', 'MDX validation'. NOT for general DevOps (use deployment-engineer), Kubernetes/cloud infrastructure (use kubernetes-architect), runtime monitoring (use observability-engineer), or non-Docusaurus projects.
Terraform and OpenTofu infrastructure as code — module design, state management, multi-environment setups, remote backends, secrets management, CI/CD integration. NOT for Pulumi, CDK, Ansible, or Kubernetes manifests.
Deploy Next.js and React applications to Vercel — project setup, environment variables, edge functions, build troubleshooting, preview deployments, monorepo configuration. NOT for AWS/GCP/Azure deployment, self-hosted solutions, or Cloudflare Pages.
Publish static page artifacts to SourceCraft Sites (Yandex infrastructure, works in Russia), with advisory image optimization and an original-image path. Use when a static page/React artifact needs to be deployed to SourceCraft under YYYY/YYYY-MM/page-slug directory layout.
SSH connection to remote servers. Use when you need to execute commands on a remote server, check logs, restart services, or manage Docker containers.
Guides shipping a web app to the Meta Quest and Horizon OS Store as a PWA/TWA — both 2D windowed panels and immersive WebXR/VR. Covers building the web app (IWSDK for WebXR, any responsive PWA for 2D), Vercel deploy, web app manifest + icons, the WebXR-only auto-enter-session step, choosing 2D vs immersive mode in @meta-quest/bubblewrap-cli, keystore/Digital-Asset-Links, and ovr-platform-util Store upload. Use before any IWSDK/WebXR build, PWA packaging, bubblewrap, or Horizon Store upload work.
Pre-deploy and post-deploy checklist skill. Ensures env vars, migrations, CI, rollback plan, smoke tests, and monitoring are verified before and after every deployment.
> Build Spring Boot 4.x applications following the best practices. * When developing Spring Boot applications using Spring MVC, Spring Data JPA, Spring Modulith, Spring Security * To create recommended Spring Boot package structure * To implement REST APIs, entities/repositories, service layer, modular monoliths * To use Thymeleaf view templates for building web applications * To write tests for REST APIs and Web applications * To write ArchUnit tests for testing architecture * To configure the recommended plugins and configurations to improve code quality, and testing while using Maven. * To use Spring Boot's Docker Compose support for local development * To create Taskfile for easier execution of common tasks while working with a Spring Boot application
Embed compliance controls into account opening and verify regulatory readiness. Use when designing CIP/KYC identity verification gates, implementing OFAC and sanctions screening at onboarding, collecting beneficial ownership certification for entity or trust accounts, building risk-based approval tiers that route applications by risk level, defining compliance screening requirements and exception tracking, adding senior investor protections (FINRA Rules 2165/4512) or trusted contact procedures, establishing CDD risk ratings and ongoing monitoring triggers, or preparing account opening procedures for SEC or FINRA examination. For the operational pipeline these controls plug into, see account-opening-workflow.
Guide BSA/AML compliance program design, ongoing transaction monitoring, and FinCEN reporting for broker-dealers, banks, and investment advisers. Use when the user asks about suspicious activity reports, currency transaction reports, OFAC screening, structuring detection, ongoing risk-rating reviews and escalation, or FinCEN requirements. Also trigger when users mention 'large cash deposit', 'sanctions check', 'money laundering red flags', 'unusual transaction patterns', 'wire to a foreign country', 'SDN list', 'tipping off a client about a SAR', 'AML audit', 'correspondent account due diligence', or ask whether a transaction needs to be reported. (For onboarding identity verification, CIP/CDD, beneficial ownership, and initial customer risk rating, use know-your-customer.)
Design human-in-the-loop workflow orchestration for securities operations: task routing, approval chains, and SLA monitoring. Use when building multi-level approval chains with dollar thresholds and delegation of authority, enforcing four-eyes (maker-checker) controls, defining escalation rules for aging work items approaching SLA breach, designing human-in-the-loop gates, selecting a workflow engine or BPM platform (Camunda, Pega, ServiceNow), modeling a process as a state machine, adding audit trails for SEC Rule 17a-3/17a-4 or FINRA supervisory obligations, or migrating from email-and-spreadsheet tracking. For zero-touch automation rates and STP measurement, see stp-automation.
Measure and raise straight-through processing (STP) rates in securities operations through zero-touch, exception-based processing. Use when measuring STP rates and analyzing manual touchpoints in an existing process, replacing review-all workflows with exception-based processing, evaluating RPA vs API-based vs hybrid automation for legacy systems, building exception queuing, categorization, and auto-resolution workflows, conducting process mining or root cause analysis on exception volumes, or setting STP rate targets and continuous improvement programs. For approval chains, four-eyes controls, and SLA monitoring, see workflow-automation.
Guide customer onboarding identification, due diligence, and profile maintenance under FINRA Rule 2090, the CIP rules, and the FinCEN CDD Rule. Use when the user asks about onboarding identity verification, beneficial ownership collection for entity accounts, enhanced due diligence for PEPs or high-risk customers at account opening, assigning the initial customer risk rating, KYC refresh triggers, or documentary vs non-documentary verification. Also trigger when users mention 'account opening requirements', 'who is the beneficial owner', 'new client identity check', 'how often to update KYC', 'essential facts for the account', 'foreign customer onboarding', or ask what information must be gathered before opening an account. (For ongoing transaction monitoring, SAR filing, and surveillance-driven risk re-rating, use anti-money-laundering.)
Design and operate data quality programs for financial data — validation rules, pricing validation, data lineage, exception management, profiling, and governance. Use when building validation rules for pricing or client data pipelines, detecting stale prices, designing a data quality monitoring framework, calibrating validation thresholds, implementing data lineage for BCBS 239 or MiFID II, investigating reconciliation breaks or billing errors traced to bad data, preparing for regulatory exams on data accuracy, building data quality scorecards, or defining data stewardship roles. Trigger on: data quality, pricing validation, stale prices, data lineage, data validation, data profiling, exception management, data governance, BCBS 239, data completeness, data accuracy, validation rules, data anomaly, data stewardship, data quality scorecard.
Guide the design, evaluation, and monitoring of trade execution quality and best execution practices. Use when assessing best execution obligations under FINRA Rule 5310 or RIA fiduciary duty, designing smart order routing across exchanges and dark pools, selecting execution algorithms (VWAP, TWAP, implementation shortfall, POV), building transaction cost analysis (TCA) for pre-trade estimation or post-trade measurement, analyzing bid-ask spread decomposition or market impact or information leakage, conducting best execution committee reviews, evaluating payment for order flow (PFOF) arrangements, interpreting Rule 605/606 reports, or handling fixed income or ETF execution via RFQ protocols. Also covers Reg NMS Order Protection Rule and venue fee structures.
Guide the understanding and management of trade settlement and clearing processes. Use when designing settlement workflows for T+1 compliance, understanding DTC/NSCC/FICC clearing infrastructure, analyzing continuous net settlement (CNS) netting obligations, setting up institutional trade processing (affirmation, confirmation, allocation, matching), investigating settlement fails and designing fail reduction programs, implementing buy-in procedures under Reg SHO Rule 204, assessing corporate action impact on pending settlements, evaluating DVP/RVP mechanics for institutional deliveries, handling when-issued or as-of trades, or managing settlement bank relationships and intraday liquidity. Also covers FX funding gaps for cross-border T+1 settlement.
Analyze real estate and infrastructure investments including REITs, direct property valuation, and infrastructure assets. Use when the user asks about real estate investing, REITs, cap rates, NOI, FFO, AFFO, property valuation, or infrastructure investments. Also trigger when users mention 'rental property analysis', 'cash-on-cash return', 'gross rent multiplier', 'REIT dividends', 'real estate sectors', 'cell towers', 'toll roads', 'LTV ratio', 'DSCR', or ask whether to invest in real estate directly or through REITs.
> Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, models rebuilt as dlnetwork for lean hardware (Cortex-M, DSP), (2) direct C/C++ code generation from PyTorch and LiteRT models for high-performance hardware (Cortex-A, x86, GPU). neural networks; compress AI models for MCU/DSP; integrate AI in Simulink for system-level simulation; import PyTorch/ONNX/TensorFlow models for embedded deployment; optimize AI for resource-constrained hardware; or use loadPyTorchExportedProgram, importNetworkFromPyTorch, dlquantizer, exportNetworkToSimulink, or Embedded Coder with AI models.
> Use when reviewing or validating Frappe/ERPNext code against best practices and common pitfalls. Checks generated code before deployment, validates against all 61 frappe-* skills, catches v16 patterns (extend_doctype_class, type annotations), validates ops patterns (bench code, check script, validate deployment, find bugs, code quality, check my code, is this correct, code review, before deploying, best practices check.
> Use when implementing logging, error tracking, or monitoring in Frappe v14-v16. Covers frappe.logger() for file-based logging, frappe.log_error() for Error Log DocType entries, request logging, Sentry integration, and production logging patterns. Prevents common mistakes with print(), swapped log_error arguments, and sensitive data. monitor, request logging, error tracking, debug, production.
> Use when scaffolding a new Frappe app, configuring app settings, building assets, running tests, deploying, updating, or publishing to marketplace. Prevents broken app structure from incorrect scaffolding, missing setup.py fields, and failed builds. Covers bench new-app, app directory structure, setup.py/pyproject.toml, hooks.py config, bench build, bench run-tests, app publishing.
> Use when working with Frappe Cloud, Press API, provisioning sites, or managing benches on Frappe Cloud infrastructure. Prevents failed deployments from misconfigured cloud settings and API misuse. Covers Frappe Cloud dashboard, Press API, site provisioning, bench management, environment variables, cloud-specific limitations.
> Use when deploying Frappe/ERPNext to production, configuring Nginx or Supervisor, setting up Docker, enabling SSL, or hardening security. Prevents insecure deployments, missing reverse proxy config, and broken process management. Covers production setup, Nginx configuration, Supervisor/systemd, Docker Compose, Let's Encrypt SSL, firewall rules, security hardening.
> Deploy HTML/CSS websites to ERPNext/Frappe (v15/v16) as Web Pages via the REST API. Use this skill whenever a user wants to host a website on ERPNext, deploy HTML mockups to Frappe, create Web Pages programmatically, configure Website Settings, or integrate Frappe's Discussion system as a forum. Also use when the user mentions "website on ERPNext", "Web Page API", "Page Builder", "Web Template", or wants to serve custom HTML from Frappe. CSS management, Frappe Discussion integration, and deployment scripting.
Create dark-themed, animated technical diagrams as self-contained HTML+SVG files — flowcharts whose connectors visibly flow, and architecture diagrams where requests travel as light dots through the system (Diagrid/Temporal landing-page style). Use this skill whenever the user asks for a flowchart, workflow, pipeline, process diagram, state machine, system architecture, infrastructure, cloud, microservices, or network topology diagram — and especially when they mention "animated", "flowing", "dynamic", "alive", "GIF-like", or want a diagram for a landing page, README, docs, or product demo. Also use it to convert Mermaid source (a mermaid code block or .mmd file) into an animated diagram — "animate this mermaid", "make this flowchart move". Prefer this over static diagram output whenever the diagram represents anything that moves: requests, events, data, jobs, messages, or control flow.
CI/CD Pipeline Builder
Deploy HTML content to EdgeOne Pages, return the public URL.