DevOps & Infra Agent Skills

Analyzes cloud security posture, vulnerabilities, and attack paths using the Wiz API, including compliance assessment and resource inventory.

Manages Chef infrastructure by inspecting cookbooks, nodes, roles, environments, data bags, and compliance profiles, and provides guidance for debugging convergence failures and auditing compliance.

Manage and monitor Flux CD GitOps reconciliation, sources, and Kustomizations on Kubernetes, including Helm releases, image automation, and drift detection.

Manages incidents, post-incident narratives, and organizational learning in Jeli via its REST API, covering discovery, analysis, and opportunity tracking.

Manages and analyzes Novu notification infrastructure, covering workflows, subscribers, messages, integrations, and delivery analytics via the Novu API.

Monitors, analyzes, and optimizes Apache Solr instances and SolrCloud clusters through a discovery-first workflow that checks cluster health, collection status, schema fields, cache hit ratios, and query handler performance.

Manages BIND9 DNS servers by discovering zones, validating configuration, checking DNSSEC status, and reporting query patterns and statistics.

Inspect and manage Envoy proxy configuration, cluster health, route tables, and performance stats via the admin API.

Reference for AWS services, architecture patterns, and Well-Architected Framework implementation.

Deploy and manage Cloudflare Workers for Platforms, including dispatch namespaces, static assets, and outbound worker configuration.

Configures and secures Spring Boot Actuator HTTP endpoints, including custom paths, ports, SSL, authentication, and CORS.

Guides users through configuring a LaRuche node by reading its live API state and providing click paths for settings, including LLM providers, messaging channels, secrets vault, MCP server, and memory.

Provisions disposable TiDB Cloud Zero databases via API and CLI, returning connection strings for immediate SQL use.

Takes screenshots of any website by sending its URL to a free cloud API, returning PNG or JPEG images with options for full-page capture, viewport size, dark mode, and more.

Configure a QQ official bot and connect it to OpenClaw AI, covering creation, IP whitelisting, deployment, and troubleshooting.

Orchestrates a multi-agent build session, acting as manager to cut goals into units, spawn implementer and tester subagents, and run test-and-review loops with anti-thrash guardrails.

Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and CLI integration.

Instrument LLM applications with Langfuse for tracing, prompt versioning, evaluation, and dataset management across Python and JavaScript SDKs.

Query, filter, and transform JSON with expert jq patterns, including aggregation, string formatting, and shell pipeline integration.

Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and integration with CLI tools.

Creates a GitHub pull request with an auto-generated summary, running mandatory pre-commit and code-quality review gates, plus optional deep-review subagents, and posts findings into the PR body.

Data pipeline specialist for AI system integration. Use when the user asks to talk to Hagrid, requests data integration, or needs embedding pipeline or vector DB setup.

MLOps lead for deployment, monitoring, and scaling. Use when the user asks to talk to McGonagall, requests deployment help, or needs CI/CD for AI systems.

Research a topic and grow your knowledge graph. Uses Exa deep researcher, web search, or basic search to investigate topics, files results with full provenance, and chains to processing pipeline. Triggers on "/learn", "/learn [topic]", "research this", "find out about".

Run Comet's Opik — open-source LLM observability, evaluation, and optimization — from one routing-first skill: install the Python/TypeScript SDK, stand up a server (Comet.com cloud, Docker Compose via `./opik.sh`, or Kubernetes/Helm), wire tracing through `@opik.track` or one of 50+ framework integrations (OpenAI, Anthropic, LangChain, LangGraph, LlamaIndex, CrewAI, DSPy, Ollama, Bedrock, Vercel AI SDK, …), score outputs with LLM-as-a-judge metrics (Hallucination, Moderation, Answer Relevance, Context Precision), and run Datasets/Experiments evaluations including PyTest CI gates. Use when the user wants LLM tracing, prompt evaluation, production LLM monitoring, agent optimization, or guardrails with Opik. Triggers on: opik, comet opik, opik configure, opik.sh, llm observability, llm tracing, llm as a judge, hallucination metric, prompt evaluation, opik dashboard, opik guardrails, agent optimizer.

Turn natural-language descriptions into editable `.drawio` diagrams and export them to PNG / SVG / PDF / JPG via the native draw.io desktop CLI, or turn an existing codebase (Python / JS-TS / Go / Rust) into an auto-laid-out structure diagram. Wraps Agents365-ai/drawio-skill: 6 diagram presets (ERD, UML class, sequence, architecture, ML/DL, flowchart), search across 10,000+ official AWS/Azure/GCP/Cisco/K8s/UML/ BPMN shapes, 321 AI/LLM brand logos, vision self-check + auto-fix, and a 5-round iterative refinement loop. No MCP server, no daemon — runs from a single SKILL.md and the draw.io CLI. Use when the user wants polished, precise, exportable diagrams or wants to visualize code structure. Triggers on: drawio, draw.io, drawio diagram, architecture diagram, ERD, UML diagram, sequence diagram, flowchart, network diagram, visualize codebase, code structure diagram, class hierarchy, export diagram png/svg/pdf, AWS/Azure/GCP icon, draw.io shapes.

Install, configure, and use the Unity Command Line Interface (CLI) for automated production workflows, project management, and cloud integration. Use when setting up CLI-based build automation, CI/CD pipelines, Editor/module management, authentication, or localhost API calls via the experimental Unity Pipeline package. Designed for verifiable, machine-readable game production workflows where the build machine must be describable and tests must return evidence. Triggers on: Unity CLI, unity command line, unity automation, unity ci/cd, unity build script, unity pipeline, unity production workflows.

Vendor-neutral framework for scoring software health, estimating technical debt, assessing cloud readiness and open-source safety, and communicating quality to business stakeholders. Use when you need to quantify code health at the application or portfolio level rather than fix individual findings.

This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.

You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production deployment strategies based on current industry best practices.

Criar projetos, serviços e bancos de dados no Railway com configuração adequada. Use quando o usuário disser "setup", "deploy to railway", "initialize", "create project", "create service", ou quiser fazer deploy do GitHub. Gerencia setup inicial E adição de serviços a projetos existentes. Para bancos de dados, use a skill railway-railway-database em vez disso.

Fazer deploy de código para Railway usando "railway up". Use quando o usuário quer enviar código, diz "railway up", "deploy", "ship" ou "push". Para configuração inicial ou criação de serviços, use a skill railway-new. Para imagens Docker, use a skill railway-environment.

Deploy with unified build/test/deploy intent across providers using .agent-loom/deploy.yml and per-provider adapters. Load when the user asks to deploy, ship to preview, release to production, or run a provider-agnostic deploy flow. Also triggers on "deploy anywhere", "deploy to Vercel", "deploy with GitHub Actions", "preview deploy", or "ship this". Runs preflight before any deploy — stops on missing secrets. Pairs with ci-cd-and-automation for pipeline design. Ships vercel and github-actions adapters; extensible adapter interface.

Extract actionable patterns, architecture decisions, code conventions, and skill-relevant insights from GitHub/GitLab repositories. Assess repo credibility, run the full security scan pipeline, and apply findings to existing skills, new skills, or the current project. Load when the user asks to learn from a repo, extract patterns from a codebase, study a repository, or analyze a repo for reusable techniques. Also triggers on "learn from this repo", "learn from this repository", "what can we learn from this codebase", "extract patterns from this repo", "study this repo".

Expert knowledge for Azure Maps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when using map rendering/tiles, search & routing APIs, weather data, Spatial IO, or migrating from Bing/Google Maps, and other Azure Maps related development tasks. Not for Azure AI Search (use azure-cognitive-search), Azure Digital Twins (use azure-digital-twins), Azure IoT (use azure-iot), Azure IoT Hub (use azure-iot-hub).

Expert knowledge for Azure Local development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when planning Azure Local racks, SDN networking, Arc/AKS VMs, Hyper‑V/VMware migrations, or disconnected ops, and other Azure Local related development tasks. Not for Azure Stack Edge (use azure-stack-edge), Azure Kubernetes Service Edge Essentials (use azure-aks-edge-essentials), Microsoft Foundry Local (use microsoft-foundry-local), Azure IoT Edge (use azure-iot-edge).