DevOps skills

Use when creating a new project from scratch — orchestrates the full journey from idea to running code. Research → design → plan → scaffold → implement → docs. Explicit invocation only — never auto-activates. CLI = project infrastructure (.claude/), bootstrap = application code + full pipeline. NOT for autonomous multi-hour builds of specified products (see mk:autobuild); NOT for single-task feature work on existing projects (see mk:cook).

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Use ONLY when explicitly invoked. Puts Fusionaly on a Linux server you reach over SSH with a key. Optionally creates a Hetzner server and the Cloudflare DNS record. The user runs the one interactive install command; the agent prepares and checks everything around it.

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Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automation, and JavaScript debugging.

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Deploy applications to Vercel with auto-detection and preview URLs

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Snowflake best practices for cloud data warehouse design, query optimization, and cost management

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ubuntu1 배포/재배포/롤아웃, second-brain 이미지 빌드·compose up·마이그레이션 배포를 할 때 사용. rsync 경로·이미지 태그·실행 이미지 ID 대조·백업까지 체크리스트로 강제한다.

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Enable/disable OpenTelemetry console monitoring for Claude Code usage tracking

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Docker patterns for optimized containerization

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hada.io RSS feed monitoring for AI agent/harness articles with automated /scout analysis

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Multi-LLM adversarial consensus loop — 3+ LLMs compete to find flaws in designs/specs until unanimous agreement is reached

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AWS patterns from Well-Architected Framework

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Stop AI agents from secretly bypassing your rules. Mechanical enforcement with git hooks, secret detection, deployment verification, and import registries. Born from real production incidents: server crashes, token leaks, code rewrites. Works with Claude Code, Clawdbot, Cursor. Install once, enforce forever.

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AutoResearch-inspired self-evolution loop for ANY Claude Code skill. Finds flaws, fixes them, benchmarks against a diverse prompt pool (anti-overfitting), and uses blind A/B judging. Fully automated — no human input needed during the loop.

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VK Blocks Pro をリリース・デプロイする際に使用する。バージョン番号の付与、タグの push、GitHub Actions による CI/デプロイのワークフローを管理する。

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Look up company/business data through Openapi - Italian companies by VAT/tax code or name, European and worldwide company search, shareholders, UBO, AML, PEC/SDI codes, company monitoring. Use for questions like "find data about company X", "who owns VAT number Y", "search companies in France/EU/worldwide".

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Obtain official Italian documents through Openapi - chamber of commerce reports (visure camerali), financial statements/balance sheets, company files (fascicoli), bylaws, DURC, protest reports. Use when the user needs an official PDF document about an Italian company or person.

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Search cloud memory backup when local results are insufficient. Use when memory_search returns few/no results for a topic you know was discussed before. Cloud preserves everything - even memories that were deleted or compacted locally.

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Build the results site and publish it to GitHub Pages. Checks every precondition deploy-site.py enforces before spending a build on them, presents the research/ diff the build produces for a commit, and deploys only on explicit confirmation. Trigger when the user says "publish", "deploy", "site deployen", "gh-pages", "auf die Seite bringen", or asks how to get results online.

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Analyze suspicious SMS/email messages, phishing links, redirects, domains, payloads, malware indicators, and suspected C2 infrastructure safely. Use when the user provides spam, smishing/phishing content, raw .eml headers, URLs, QR links, attachments, hashes, strange payloads, redirect chains, DNS/WHOIS/RDAP questions, C2 clues, exploit-chain questions, or asks what defenses to apply.

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Use when explicitly authorized lab traffic must be captured, searched, or exported from the project's mitmproxy-backed Docker lab recorder.

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Preserve output from expensive one-shot commands for monitoring and later analysis. Use when rerunning a build, API query, CI inspection, or diagnostic would be costly and a managed background process is not the better interface.

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Use this skill to drive a research question (RQ) end-to-end: validate the RQ README, generate a fill batch-plan, start the Docker batch in the background, monitor progress, run aggregation, and propose findings updates. Trigger when the user says "RQ-N voranbringen", "run-rq", "fill RQ-N", "run RQ-N", "Forschungsfrage N starten", or names a specific RQ-N directory in research/.

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Use when writing Terraform — AWS modules, resources, variables, outputs, remote state — even when the user just says 'provision this infra' or 'add an S3 bucket' without naming Terraform.

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Use when working with Terragrunt — DRY multi-env configs, module dependencies, remote state orchestration — even when the user just says 'deploy this to staging and prod' without naming Terragrunt.

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