Cloud, CI/CD, monitoring, and deployment (6.8K skills)
Diagnose slow or failing network paths involving Tailscale, proxies, TUN, DNS, or SSH tunnels on macOS and Windows/WSL. It helps distinguish routing, proxy, resolver, and virtual machine issues by checking the affected command and each component’s own health evidence.
Investigates Cloudflare problems by checking the account’s actual configuration through its API and verifying findings with network tools. It helps trace redirect loops, DNS failures, SSL certificate errors, and origin server issues, then guides a targeted change and a follow-up check.
Use this skill to review Terraform release workflows, isolate staging and production, and diagnose provisioner or deployment failures. It guides checks on candidate files, environment settings, and live changes so teams can understand what a rollout may affect before applying it.
Audit and compare OpenClaw configuration files, inspect available providers and models, copy or add model settings, and change the default model. It can also diagnose gateway and plugin problems such as stopped or outdated components.
Investigate unclear network, streaming, and protocol failures through layered experiments that test and try to disprove possible causes. Use it to trace resets, stalled event streams, timeouts, certificate errors, slow transfers despite successful responses, or local network topology questions.
Non-user-invocable provider/setup reference for evo backend switching, prerequisite checks, and auth/install guidance.
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Produce a capacity planning document for a service covering traffic forecasts, resource requirements, and scaling strategy. Use when asked to plan infrastructure capacity, forecast resource needs, model traffic growth, define scaling strategy, or produce a capacity review for a service. Produces a structured capacity plan covering current baseline metrics, growth projections, resource requirements per tier, scaling strategy, cost projections, capacity triggers, and an infrastructure action roadmap.
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Structure AI and ML product decisions with the rigour of any product decision. Use when building AI-powered features, evaluating LLM integrations, designing AI products, or assessing AI readiness. Produces a complete AI product canvas covering problem definition, model approach, data requirements, evaluation framework, UX design, responsible AI checklist, and launch monitoring plan.
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Specify the tracing, metrics, and alerting for an AI agent or LLM feature in production. Use when asked what to log for an LLM app, design agent tracing or spans, define quality and cost monitors, or answer 'how do we know if the agent is misbehaving?'. Produces an observability spec with a trace schema, metric definitions with owners and alert thresholds, sampling and retention policy, and a privacy note for logged content.
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Change Octane's runtime, compiler, scheduler, reconciler, SSR, or hydration engine. Use before editing packages/octane/src. Covers the observable contract, hot-path analysis, and the performance evidence required before handoff.
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Help users build robust infrastructure for measuring, monitoring, and iterating on AI product performance using human, code-based, and LLM-as-a-judge methodologies.
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Prepare and publish a new version of the waza azd extension. USE FOR: "publish extension", "release new version", "bump version", "prepare release", "update changelog", "azd publish", "new release", "version bump", "cut a release". DO NOT USE FOR: running evals (use waza), writing skills (use skill-authoring), CI/CD pipeline changes (edit workflow files directly).
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Guides Docker, CI/CD pipelines, deployment strategies, infrastructure as code, and observability setup. Use when writing Dockerfiles, configuring GitHub Actions, planning deployments, setting up monitoring, or when asked about containers, pipelines, Terraform, or production infrastructure.
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Publishes (deploys) a finished website to a free HTTPS link with DropTheHassle, in one command and with no account. Use when the user wants to deploy a website, publish a website, host a website, "go live", "make it live" or "get a link" for a site an AI built, and has not picked another host. Runs `npx -y dropthehassle@latest deploy` on the built folder and returns the live link and a claim link. Own domain (buy domain) and email on my domain come after, as payment links the human pays. The agent never spends money.
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Connects a domain the user already owns (bought at another registrar) to their DropTheHassle site, free, with one A record. Use when the user says "use my own domain", "connect my domain", "add a custom domain", "point my domain to my site" or already has a .com at GoDaddy, Namecheap, Cloudflare or similar. Gets the A record from DropTheHassle, shows it to the human to set at their registrar, then checks HTTPS is live. Never edits DNS at the registrar for them. For a name they don't own yet, use buy-domain.
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Publishes (deploys) a built website or web app to a free HTTPS link, then your own .com with no DNS. Use when the user wants to deploy a website, publish a website or host a website, or says "go live", "make it live", "put this live", "put it online", "publish my site", "deploy my website", "host my website", "share it with friends", "send my friends a link", "get a link", "make it public", "it only works on localhost" or "get a .com", or asks to deploy or host a site built with an AI tool (Claude Code, Cursor, Codex, Windsurf, Lovable, Bolt, v0, ChatGPT), or mentions DropTheHassle, and has not picked another host. Covers building first, CLI or MCP setup, deploying, Update and Restore, the claim link, the live check, linking a server part the user hosts on AWS, Google Cloud, DigitalOcean or their own server with set_backend, and domain search. The agent never spends money. The human pays.
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Backend and infra for a project via Cohesivity (cohesivity.ai). Provisions Postgres, hosting and deploys, auth and social login, realtime websockets, an agent-native email inbox, object and vector storage, Redis, cron, and AI model APIs (OpenAI, Anthropic, Deepgram, Exa) through one HTTP API. Use when a valid `.cohesivity` file exists, a Cohesivity MCP is available, the user names Cohesivity, or the project needs a backend or any of these services and no competing provider was chosen.
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Shape a request into one end-to-end slice with observable behavior; review write scope and reversible decisions. Use when: planning, breaking down or scoping a change.
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Operate Bitbucket Cloud or Data Center repositories, pull requests, branches, issues, pipelines, permissions, and webhooks with bkt. Use when a request names Bitbucket or bkt; confirm the platform before platform-specific commands.
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Используй только внутри активного Codex Project Autopilot-проекта для deployment/handoff по его плану; не включай для обычных deploy-задач вне автопилота.
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Release-gate sequence: validate → review → push → tag. Wraps kernel:git mechanics with the pre-ship safety chain. Triggers: ship, release, push to main, ready to merge, deploy.
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Mobile/web build pipeline: fastlane-first local builds, store submission, pre-submission checklists. Triggers: app, mobile, store submission, deploy app, fastlane, expo, react native, flutter.
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Explicit landing-page build and deploy operator. Loads marketing and frontend judgment, scaffolds the smallest suitable site, verifies it rendered, deploys to the configured target.
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Observability dashboard. Session stats, agent tracking, hook performance, learning health. Triggers: metrics, stats, dashboard, observability.
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