القائمة
Use when building an API or handler at the Cloudflare edge: create a Cloudflare Worker with Wrangler that serves an API at the edge.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Use when several pieces of work are genuinely independent and can run at once, to fan them out across parallel agents instead of doing them in sequence. Cuts wall-clock time and keeps each strand in its own clean context.
Use when a written plan exists and you are about to build it in the current session, to work it task by task with a checkpoint after each. Keeps execution honest against the plan instead of drifting into a freehand build.
Use when work needs its own isolated checkout — parallel strands that would fight over files, or a risky change you want quarantined from the main tree. Gives each strand a real working directory on its own branch without re-cloning.
Use whenever the user says "use slipstream", "use superpowers", or starts any task in a project that has slipstream. A hard, always-on discipline that forces scoped reads over whole-file reads to save tokens, recalls memory before acting, and records what is durable every turn so memory grows constantly.
Use when a site needs to look designed rather than defaulted, before building sections: establish a cohesive design system of type scale, spacing, colour, radius and shadow tokens so every component shares one premium visual language.
Use when building the top of a landing page, to produce a high-impact hero with confident display type, a clear single call to action and balanced composition, the kind of opening a polished marketing site leads with.
| name | cloudflare-worker |
| description | Use when building an API or handler at the Cloudflare edge: create a Cloudflare Worker with Wrangler that serves an API at the edge. |
| slipstream | {"category":"cloudflare","verification":{"kind":"command","description":"The worker builds via a dry run deploy.","command":"pnpm exec wrangler deploy --dry-run --outdir /tmp/{{workerName}}","expect":"Total Upload"},"tags":["cloudflare","launch"]} |
Create a Cloudflare Worker with Wrangler that serves an API at the edge.
wrangler and create wrangler.toml with the worker name and a main entry.fetch handler returning a JSON response.compatibility_date to a recent date.Run a Wrangler dry run deploy and confirm it reports a successful upload size with no build errors.