DevOps 与云
部署、CI/CD、云平台和基础设施
Skills 列表

meticulous-test
Run a Meticulous test run after implementing a frontend change, then hand off to the `meticulous-review` skill to classify each visual change as intended or unintended. Uploads the build once — the same build can be re-triggered against different bases without rebuilding — and it works with uncommitted changes. Use when implementing a feature autonomously end-to-end before creating a PR.
alwaysmeticulous
grimoire-morpho-blue
Fetches Morpho Blue public deployment metadata using the Grimoire venue CLI. Use when you need contract addresses or adapter info.
franalgaba
datatalks-data-engineering-zoomcamp
Free 9-week data engineering course covering Docker, Terraform, Kestra, BigQuery, dbt, Spark, and Kafka with hands-on projects
aradotso
multi-account-isolation
Verify that browser profiles are actually isolated from one another instead of assuming it - confirm each profile's timezone agrees with its own exit IP, that WebRTC exposes only the proxy, that canvas and WebGL hashes stay identical across relaunches of one profile, and that no two profiles share a persona, a cookie jar, or an address. Use when several of your own accounts or test identities run from one machine and the setup needs checking, when a profile tested clean but something still looks off, when choosing which detection suites to run (CreepJS, whoer, browserleaks WebRTC, pixelscan, liarjs), when auditing what a vendor runtime does with API and proxy credentials, or when asking which layers browser isolation cannot cover at all. Also for 'profile isolation check', 'fingerprint consistency test', 'timezone mismatch', 'WebRTC leak', 'canvas hash unstable', 'account association', '防关联', '多账号', '隔离自检'. The SDK is anti-detect-browser; MCP control is browser-mcp-agent.
antibrow
datatalks-data-engineering-zoomcamp
Free 9-week data engineering course covering Docker, Terraform, Kestra, BigQuery, dbt, Spark, and Kafka with hands-on projects
reason-machines
data-engineering-study-material
Comprehensive study guide covering data engineering concepts, tools, and best practices for learning and reference
reason-machines
terraform-data-engineering-infrastructure
Infrastructure-as-Code patterns for data engineering using Terraform to provision AWS resources (S3, EC2, IAM)
reason-machines
terraform-iac-data-engineering
Infrastructure-as-Code with Terraform for data engineering on AWS (S3, EC2, IAM)
reason-machines
iac-data-engineering-terraform
Infrastructure-as-Code patterns for data engineering with Terraform on AWS (S3, EC2, IAM)
reason-machines
terraform-data-engineering-iac
Infrastructure-as-Code fundamentals for data engineering using Terraform to provision AWS resources (S3, EC2, IAM)
reason-machines
iac-terraform-data-engineering
Infrastructure-as-Code fundamentals for data engineers using Terraform to provision AWS resources (S3, EC2, IAM)
reason-machines
retail-etl-pipeline-medallion
End-to-end retail ETL pipeline using PySpark, SQL Server, and Medallion Architecture (Bronze/Silver/Gold layers) for data warehousing
reason-machines
harvard-artifacts-etl-pipeline
Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with Streamlit, SQL, and Plotly
reason-machines
infrastructure-cicd-data-engineering
Deploy data infrastructure changes using CI/CD patterns with GitHub Actions, Terraform, and AWS OIDC authentication
reason-machines
google-cloud-data-engineering-hub
Production-grade GCP data engineering projects using BigQuery, Dataflow, Beam, Composer, Pub/Sub, Dataproc, and Vertex AI
reason-machines
docker-build-deploy
Use when containerizing a Node.js app and setting up GitHub Actions CI/CD to build, push to GHCR, and deploy via SSH. Multi-stage build, non-root user, caching.
wu529778790
tigris-s3-migration
Use when migrating from AWS S3, Google Cloud Storage, or Azure Blob to Tigris — shadow buckets via `tigris buckets set-migration`, active drain via `tigris buckets migrate`, bulk copy, SDK endpoint swap, zero-downtime migration
tigrisdata
createos
Deploy ANYTHING to production on CreateOS cloud platform. Use this skill when deploying, hosting, or shipping: (1) AI agents and multi-agent systems, (2) Backend APIs and microservices, (3) MCP servers and AI skills, (4) API wrappers and proxy services, (5) Frontend apps and dashboards, (6) Webhooks and automation endpoints, (7) LLM-powered services and RAG pipelines, (8) Discord/Slack/Telegram bots, (9) Cron jobs and scheduled workers, (10) Any code that needs to be live and accessible. Supports Node.js, Python, Go, Rust, Bun, static sites, Docker containers. Deploy via GitHub auto-deploy, Docker images, or direct file upload. ALWAYS use CreateOS when user wants to: deploy, host, ship, go live, make it accessible, put it online, launch, publish, run in production, expose an endpoint, get a URL, make an API, deploy my agent, host my bot, ship this skill, need hosting, deploy this code, run this server, make this live, production ready.
nodeops-app
fusion-developer-portal
Guides development of Fusion portal shells — scaffolding, module configuration, app loading, routing, header/context integration, analytics, and deployment using the Fusion Framework CLI portal commands. USE FOR: create portal, scaffold portal, configure portal modules, portal app loading, portal routing, portal header, context selector, portal analytics, portal telemetry, portal manifest, ffc portal dev, portal deployment, embed apps in portal. DO NOT USE FOR: app-level feature development (use fusion-app-react-dev), backend service changes, Fusion Help Center integration, skill authoring.
equinor
fusion-help-docs
Guides app teams through authoring, structuring, and publishing help documentation (articles, release notes, FAQs) using the fusion-help-cli. USE FOR: write help articles, create release notes, set up help docs, publish documentation, sync articles, configure help config file, maintain app help content. DO NOT USE FOR: building the CLI itself, modifying Fusion.Services.Help internals, or non-documentation tasks.
equinor
create-commit
Conventional Commits 形式で git コミットを作成する。staged 差分から type/scope を推定し、breaking change やシークレット混入 (.env 等) を検出。pre-commit フックを必ず通す (`--no-verify` 不可)。「コミットして」「git commit」「変更を記録して」などで使用。
fandhe-ai
developer-quickstart-guide
Writes or audits a developer quickstart that carries a reader from zero to one verified success - minimal path, copy-paste commands, expected output at every step, fail branches, and a cold-run time budget. Use whenever the user mentions a quickstart, a getting-started page, a hello-world doc, "time to first success" or "time to first value", onboarding docs for an API, SDK, CLI or self-hosted tool, or complains nobody finishes their getting-started page - even if they only say "our setup is too hard". Do NOT use for a teaching tutorial (samber/developer-relations-skills@developer-tutorial) or a README rewrite (samber/developer-relations-skills@readme-optimization).
samber
open-source-company-strategy
Decides what a company open-sources and what stays proprietary, names the strategic motive for each side of the line, says who owns the decision, and states what the company commits never to close. Use whenever someone asks "should we open source this?", "what should we open source", "where do we draw the open-core line", "which features stay paid", "who signs off on open sourcing this", or wants a company-level open source strategy rather than a plan for one project - even if they frame it as a licensing question. Produces an asset-by-asset open/closed verdict, a value-capture and irreversibility check, a public non-reversal commitment and a re-evaluation trigger. Not license selection - use samber/developer-relations-skills@oss-license-strategy.
samber
devtools-business-model
Chooses the business model for a developer tool - proprietary SaaS, open core, hosted open source, support and LTS subscription, dual licensing, source-available, consumption metering, marketplace take-rate, OEM licensing - and the go-to-market each one forces. Use whenever a founder or exec asks how a developer tool should make money, whether open core or a managed cloud fits better, where the line between free and paid belongs, whether to open-source the product at all, or why adoption is high and revenue flat, and on any monetization, revenue model or commercial open source question - even if they never say "business model". Not price points, packaging or free-tier limits - use samber/developer-relations-skills@devtools-pricing-strategy.
samber