Publish to PyPI workflow (CursorTouch/Windows-Use)
The Publish to PyPI workflow from CursorTouch/Windows-Use, explained and optimized by Latchkey.
CI health: C - fair
Point runs-on at Latchkey and get run de-duplication, job timeouts, SHA-pinned actions, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Publish to PyPI workflow from the CursorTouch/Windows-Use repository, a real project running GitHub Actions. It is shown here with attribution under its MIT license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
name: Publish to PyPI
on:
push:
tags:
- "v*"
jobs:
publish:
name: Build & Publish
runs-on: ubuntu-latest
environment: pypi
permissions:
id-token: write
steps:
- uses: actions/checkout@v4
- name: Install uv
uses: astral-sh/setup-uv@v4
- name: Build package
run: uv build
- name: Publish to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
name: Publish to PyPI on: push: tags: - "v*" concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: publish: timeout-minutes: 30 name: Build & Publish runs-on: latchkey-small environment: pypi permissions: id-token: write steps: - uses: actions/checkout@v4 - name: Install uv uses: astral-sh/setup-uv@v4 - name: Build package run: uv build - name: Publish to PyPI uses: pypa/gh-action-pypi-publish@release/v1
What changed
- Run on Latchkey managed runners with one line (
runs-on), which apply the fixes below automatically and self-heal transient failures. This example useslatchkey-small; pick the runner size that fits the job. - Cancel superseded runs when a branch or PR gets a newer push.
- Add a job timeout so a hung step cannot burn hours of runner time.
2 third-party actions are referenced by a movable tag. Pin them to the commit SHA (Latchkey resolves and applies this automatically) so a repointed tag cannot change what runs.
This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.