cloud-clis
Skill0 starsChanged 50 days agoUnlicenseView on GitHub
Operate GitHub, Railway, Cloudflare, AWS, Google Cloud and Google Workspace from the terminal: which CLI does what (gh, railway, wrangler/cloudflared, aws, gcloud, gws, gam), how to check you're signed in, deploy, read logs, manage env vars/secrets, DNS, storage and databases — CLI first, MCP opt-in. Use for any deploy, hosting, domain, DNS, bucket, database, env var, log, PR/issue/release or CI task on these platforms.
In this repository10 other files it gives its agents.
- skill-starter-kitSkill
- browser-verifySkill
- consistencySkill
- docs-freshnessSkill
- github-mcpSkill
- guardrailsSkill
- lsp-pluginsSkill
- security-gateSkill
- taste-codeSkill
- verify-gateSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 25
Not signed in → run the login yourself (gh auth login, railway login, wrangler login, aws configure sso, gcloud auth login, gws auth login …
- Distinctive: line 30
CLI first: Prefer the CLI over an MCP server: no standing context cost, same on both hosts.
- Very specific: line 36
Secrets stay out of the transcript: Read variable *names*, not values (railway variables --json | jq -r 'keys[]', wrangler secret list, aws …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Cloud CLIs: GitHub · Railway · Cloudflare · AWS · Google Cloud · Google Workspace
The kit installs all seven CLIs and the vendors' own skills (use-railway, cloudflare,
wrangler, workers-best-practices, deploy-on-aws, gcloud, and on Claude Code the core
gws-* skills — Hermes' bundled google-workspace skill already drives gws). This skill is the router: which tool,
signed in as whom, and the few rules that keep deploys boring.
Which CLI for what
| Platform | CLI | Signed in? | Typical jobs | Vendor skill |
| GitHub | gh | gh auth status | PRs, issues, releases, Actions runs/logs (gh run view --log-failed), gh api for anything else | — (github-mcp for the read-only MCP) |
| Railway | railway | railway whoami | link project/service, deploy (railway up), logs, env vars, domains, Postgres | use-railway |
| Cloudflare | wrangler (+ cloudflared) | wrangler whoami | Workers/Pages deploy, D1, R2, KV, Queues, secrets, DNS via API; cloudflared for tunnels | cloudflare (product choice), wrangler, workers-best-practices |
| AWS | aws | aws sts get-caller-identity | S3, SES, IAM, Lambda, RDS, CloudFront, CloudWatch logs; architecture + IaC | deploy-on-aws |
| Google Cloud | gcloud (+ gsutil, bq) | gcloud auth list · gcloud config list | Cloud Run, Cloud SQL, GCS, BigQuery, IAM, logs (gcloud logging read), APIs & credentials | gcloud |
| Google Workspace (user data) | gws | gws auth status | Gmail, Drive, Calendar, Sheets, Docs, Slides, Chat, Tasks; JSON in/out; gws schema <method> for any API | gws-shared + gws-gmail · -drive · -calendar · -sheets · -docs · -slides · -admin-reports |
| Google Workspace (admin) | gam (GAM7) | gam oauth info | users, groups, OUs, aliases, licenses, shared drives, bulk CSV (gam csv users.csv gam update user ~email …), audits | — (gam help, GAM wiki) |
Not signed in → run the login yourself (gh auth login, railway login, wrangler login,
aws configure sso, gcloud auth login, gws auth login (first time: gws auth setup), gam oauth create) — each opens the browser; the user clicks approve once.
Rules
- CLI first. Prefer the CLI over an MCP server: no standing context cost, same on both
hosts. Ask for JSON and filter it (
gh … --json,railway … --json,aws … --output json --query,wrangler whoami --json,gcloud … --format=json) instead of pasting whole tables. - Check the target before you change it. Print the account/project/environment first
(
railway status,wrangler whoami,aws sts get-caller-identity,gcloud config get project,gh repo view) — the classic mistake is deploying to the wrong project or account. - Secrets stay out of the transcript. Read variable names, not values
(
railway variables --json | jq -r 'keys[]',wrangler secret list,aws ssm describe-parameters).railway variables/--kvprint raw values — never run them bare. Set secrets from a file or stdin, never inline in a command. Never print tokens (gws auth export,gcloud auth print-access-tokenare blocked). - Deploy after
./verify.shis green, then prove the deploy: health endpoint /curl -I, deploy logs, and the browser (browser-verify) on the live URL. - GAM changes real users. Preview bulk jobs first (
gam print users query "…"/ a CSV of targets), run on one account, then the batch. - Irreversible cloud deletes are blocked by
guard.sh(buckets, databases, stacks, instances, Railway projects/services/environments/volumes, Workers, D1/R2/KV, GCP projects/SQL/ buckets, Workspace users/groups/shared drives, permanent Drive/Gmail deletes, repos). If one is genuinely intended, the user runs it by hand.
MCP servers (opt-in)
The vendors also ship MCP servers. Enable one only when the CLI can't do the job:
- Railway:
claude mcp add --transport http railway https://mcp.railway.com - Cloudflare:
claude mcp add --transport http cloudflare https://mcp.cloudflare.com/mcp - Google Cloud:
npx -y @google-cloud/gcloud-mcp(googleapis/gcloud-mcp) - AWS:
/plugin marketplace add awslabs/agent-plugins→/plugin install deploy-on-aws@agent-plugins-for-aws(IaC, pricing, knowledge MCPs)
Hermes: hermes mcp add <name> --url <url>.
Works with →
verify-gate— green./verify.shbefore any deploy;browser-verifychecks the live URL after.guardrails—guard.shblocks irreversible cloud deletes and credential-dir reads.security-gate— gitleaks before a push; zizmor for Actions workflows you create withgh.github-mcp— the read-only GitHub MCP whenghisn't enough.docs-freshness—<cli> --helpand the vendor skill beat memory; CLIs change fast.
Verification
gh --version && railway --version && wrangler --version && aws --version && gcloud --version && gws --version && gam versionall print.- The seven "signed in?" commands name the right account.
guard.shblocksaws s3 rb s3://x --force,railway delete,wrangler d1 delete xandgh repo delete.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
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- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

