بنقرة واحدة
cloudflare
For CloudFlare development, deployment, e.g. Python CloudFlare Workers
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
For CloudFlare development, deployment, e.g. Python CloudFlare Workers
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
ALWAYS follow this style when writing Python / JavaScript code
To select, design, annotate, and verify a data visualization (chart, map, or table).
ALWAYS follow this design guide for any front-end work
Use this for non-trivial analysis, design, diagnosis, review, strategy, or judgment. Skip it for simple lookups, mechanical rewrites, and pure tone tasks.
Use when creating demos or POCs
Navigate LinkedIn via Chrome DevTools Protocol (CDP) using `uvx rodney` connected to an existing logged-in browser session. Use for extracting profile information, discovering people by city/role/interest, finding people who can help with specific tasks, and surfacing interesting posts and content.
استنادا إلى تصنيف SOC المهني
| name | cloudflare |
| description | For CloudFlare development, deployment, e.g. Python CloudFlare Workers |
wrangler dev is running slows it down. Stop, edit, then restart.Sample wrangler.toml:
name = "..."
main = "..."
compatibility_date = "..."
compatibility_flags = ["python_workers"]
[observability]
enabled = true
Sample entry.py:
from workers import Response, WorkerEntrypoint
class Default(WorkerEntrypoint):
async def fetch(self, request, env) -> Response:
return Response('{"x": 1}', headers={"content-type": "application/json"})
To integrate a FastAPI app:
from workers import WorkerEntrypoint
from my_fastapi_app import app
import asgi
class Default(WorkerEntrypoint):
async def fetch(self, request):
return await asgi.fetch(app, request.js_object, self.env)
Usage notes:
pyproject.toml with dependencies.uv add --dev workers-py workers-runtime-sdkuv run pywrangler sync (uses python_modules).uv run pywrangler dev then hit http://localhost:8787.uv run pywrangler deploy.curl https://<worker-name>.<account>.workers.dev.