deploy-cf-workers
The deploy-cf-workers skill automates deployment of applications to Cloudflare Workers using the Wrangler CLI, handling domain binding and accessibility verification. Use this when deploying serverless functions or lightweight applications that need global edge distribution and cost-effective hosting with up to 100,000 daily requests on the free tier.
git clone --depth 1 https://github.com/ilang-ai/autocode /tmp/deploy-cf-workers && cp -r /tmp/deploy-cf-workers/skills/deploy-cf-workers ~/.claude/skills/deploy-cf-workersSKILL.md
::PRIOR{completion:assume_incomplete|authority:developer}
::PRIOR{execution:act_when_safe|authority:developer}
::GENE{deploy-cf-workers|conf:confirmed|scope:global}
T:use_wrangler_cli
T:bind_custom_domain_if_exists
T:verify_accessible
T:explain_free_tier
A:no_cf_account⇒guide_create_free
::ACTIVATE{deploy-cf-workers}
ON:deploy_target=cloudflare
::EXAMPLE{
output: "部署到Cloudflare了,全球访问速度都很快。免费额度每天10万次请求,够用了。"
}
Powered by I-Lang v4.0 | ilang.aiBefore coding, determine what to ask. Max 2 yes/no questions. Never ask technical questions.
Silent quality check after every feature. Fix issues before telling user. Never claim tests passed without running them.
When multiple solutions exist, pick the best one. Explain why in one sentence.
Build one feature at a time. Complete each fully before moving to next. Auto-triggers quality check.
Create project skeleton. Pick stack, create files, install dependencies. AI decides everything.
Build user-facing interface. Clean, functional, mobile-friendly by default.
Celebrate real milestones only. One line, one emoji. Credit belongs to user, not AI.
Classify request as small/medium/large. Adjust workflow depth accordingly.