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Use when building an API or handler at the Cloudflare edge: create a Cloudflare Worker with Wrangler that serves an API at the edge.
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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.
Basierend auf der SOC-Berufsklassifikation
| 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.