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
**WORKFLOW SKILL** — Deploy Aspire apps from AppHost models to Docker Compose, Kubernetes, Azure, or AWS. WHEN: \"deploy Aspire app\", \"publish Aspire artifacts\", \"deploy to Azure Container Apps\", \"generate Kubernetes artifacts\", \"tear down Aspire deployment\". INVOKES: aspire CLI, Aspire docs, target cloud/container CLIs. FOR SINGLE OPERATIONS: use generic Azure, Kubernetes, Docker, or AWS tools only when no Aspire AppHost exists.
>- **WORKFLOW SKILL** - First-run flow for adding Aspire to a repo. Picks `aspire new` (greenfield) or `aspire init` (existing repo), drops the AppHost skeleton, then hands off to `aspireify` for resource wiring. add Aspire to existing repo, scaffold Aspire app, bootstrap Aspire, no AppHost detected, install aspireify, generated .aspire/modules. (use aspire-orchestration), deploy/publish (use aspire-deployment), logs/traces (use aspire-monitoring), repo that already has an AppHost.
>- telemetry export, browser telemetry, and the standalone dashboard. Routes between local Aspire CLI, AKS workload diagnostics, and deployed Azure resource health. describe, aspire ps, aspire export, aspire dashboard run, --include-hidden, browser logs in dashboard, WithBrowserLogs, App Insights query, AKS pod logs, container app logs. aspire-deployment), AppHost code edits like WithBrowserLogs() (use aspireify), Azure provisioning (use azure-prepare).
>- **WORKFLOW SKILL** - Top-level router for Aspire 13.4 distributed apps. Detects the AppHost, enforces safety guardrails, and routes to the right sub-skill. aspire start, aspire stop, aspire resource, aspire deploy, aspire destroy, aspire publish, aspire init, aspire new, aspire add, aspire integration list/search, aspire wait, aspire describe, aspire ps, aspire dashboard run, aspire doctor, aspire update, aspire logs, aspire otel, aspire agent init, --include-hidden, aspireify, WithBrowserLogs, custom dashboard/resource commands, .aspire/modules recovery, Playwright URL discovery. without Aspire (use azure-prepare), container-only repos with no AppHost, ordinary build/test tasks.
>- **WORKFLOW SKILL** - Wire an Aspire AppHost after `aspire init` drops a skeleton. Scans the repo, proposes a resource graph, edits the AppHost (C#, file-based C#, or TypeScript), wires `Aspire.ServiceDefaults` + OTel, validates with `aspire start`, then self-deactivates. Aspire, connect frontend to API, after `aspire init` what next, AddNextJsApp, AddViteApp, WithBrowserLogs, file-based apphost.cs, apphost.ts, unified withEnvironment, refuse .aspire/modules edit, migrate .env files, migrate user secrets. aspire-orchestration), publish/deploy/destroy (use aspire-deployment), logs/traces (use aspire-monitoring). source edits, ServiceDefaults wiring.
Deploy the current instar dist into a throwaway agent home and verify the deploy is healthy — clean evidence instead of post-hoc log forensics. Use BEFORE shipping a change that touches the deploy/lifeline/server path; AFTER landing such a change; or to reproduce a crash observed in the wild.
PostToolUse hook that scans Bash tool output for leaked credentials — API keys, tokens, private keys, and secrets — before they reach the conversation. Blocks critical leaks, redacts high-severity matches, and warns on suspicious patterns. 14 detection patterns covering OpenAI, Anthropic, AWS, GitHub, Stripe, Google, Slack, SendGrid, Twilio, PEM keys, bearer tokens, and generic secrets. No external dependencies. Trigger words: security, credential leak, secret exposure, key detection, token scan, API key leaked, credential guard, secret scanner, prevent credential leak.
Establish and recover persistent agent identity that survives context compaction, session restarts, and autonomous operation. Use when an agent needs to know who it is, recover after context compression, orient at session start, or understand the identity infrastructure. Trigger words: who am I, remember, identity, after restart, compaction, context loss, who am I working with, my principles.
Reconcile Drupal configuration drift between a working tree and a deployed environment one item at a time, deciding import (disk wins) vs export (DB wins) vs skip for each difference. Use when `drush config:status` shows drift, after pulling a fresh DB, before a deploy, or when local config and a remote/prod environment disagree. Pantheon/Terminus-aware but works with any remote alias; never writes to production.
When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI BDR,' or 'autonomous sales.' This skill covers AI SDR deployment, qualification automation, and agent architecture for sales development.
When the user wants to build GTM automation with code, design workflow architectures, use AI agents for GTM tasks, or implement the 'architecture over tools' principle. Also use when the user mentions 'GTM engineering,' 'GTM automation,' 'n8n,' 'Make,' 'Zapier,' 'workflow automation,' 'Clay API,' 'instruction stacks,' 'AI agents for GTM,' or 'revenue automation.' This skill covers technical GTM infrastructure from workflow design through agent orchestration.
Expert service mesh architect specializing in Istio, Linkerd, and cloud-native networking patterns. Masters traffic management, security policies, observability integration, and multi-cluster mesh con
Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SL...
Static Application Security Testing orchestration skill for running and managing SAST tools across codebases. This skill should be used when performing static code analysis, writing custom security rules, triaging SAST findings, integrating security scanning into CI/CD, or comparing findings across multiple SAST tools. Triggers on requests to scan code for vulnerabilities, write Semgrep/CodeQL rules, analyze SAST results, or set up automated security scanning.
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.
Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
Build AI agents with AWS Bedrock AgentCore. Use when developing agents on AWS infrastructure, creating tool-use patterns, implementing agent orchestration, or integrating with Bedrock models. Triggers on keywords like AgentCore, Bedrock Agent, AWS agent, Lambda tools.
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text/image analysis, blocklist management, or harm detection for hate, violence, sexual conten...
Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.
Analyze text and images for harmful content using Azure AI Content Safety (@azure-rest/ai-content-safety). Use when moderating user-generated content, detecting hate speech, violence, sexual conten...
Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video.
Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models.
Extract text, tables, and structured data from documents using Azure Document Intelligence (@azure-rest/ai-document-intelligence). Use when processing invoices, receipts, IDs, forms, or building cu...
Build document analysis applications with Azure Document Intelligence (Form Recognizer) SDK for Java. Use when extracting text, tables, key-value pairs from documents, receipts, invoices, or buildi...
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.
Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants.
Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes.
Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations.
Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evalua...
Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluation...
Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.
Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization.
Azure AI Document Translation SDK for batch translation of documents with format preservation. Use for translating Word, PDF, Excel, PowerPoint, and other document formats at scale.
Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.
Build translation applications using Azure Translation SDKs for JavaScript (@azure-rest/ai-translation-text, @azure-rest/ai-translation-document). Use when implementing text translation, transliter...
Build image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, tagging, or smart cropping.
Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.
Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication.
Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket.
Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with...
Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications with bidirectional WebSocket communication.
Build blob storage applications with Azure Storage Blob SDK for Java. Use when uploading, downloading, or managing files in Azure Blob Storage, working with containers, or implementing streaming da...
Azure Blob Storage SDK for Python. Use for uploading, downloading, listing blobs, managing containers, and blob lifecycle.
Azure Blob Storage SDK for Rust. Use for uploading, downloading, and managing blobs and containers.
Azure Blob Storage JavaScript/TypeScript SDK (@azure/storage-blob) for blob operations. Use for uploading, downloading, listing, and managing blobs and containers.