Pr-Screenshots
Pr-Screenshots是一款engineering方向的AI技能,核心价值是Embed before/after screenshots and annotated images in pull request descriptions,可用于解决开发者在engineering领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
Embed before/after screenshots and annotated images in pull request descriptions. Covers PR description patterns, image upload for Azure DevOps and GitHub, and sizing best practices.
mkdir -p ./skills/pr-screenshots && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/pr-screenshots/SKILL.md -o ./skills/pr-screenshots/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# PR Screenshots
Embed before/after screenshots in pull request descriptions so reviewers can see the visual change without checking out the branch.
When to Use This Skill
Use this skill when a PR changes something visible:
- Layout, styling, CSS
- Charts, dashboards, data visualizations
- UI components, forms, modals
- Error messages, CLI output, log formatting
PR Description Pattern
Place screenshots directly in the PR description body. Avoid wrapping them in `<details>` collapse — reviewers are more likely to look at images they can see without clicking.
**Before** — brief description of the problem:

**After** — brief description of the fix:
Keep the text brief. A sentence or two per image describing what the reader should notice. Let the image carry most of the communication.
Multiple changes
For PRs with several visual changes, use separate before/after pairs with headings:
## Filter bar alignment
**Before** — 1px border clash between adjacent buttons:

**After** — borders overlap cleanly, hover tint added:

## Chart tooltip
**Before** — tooltip clipped at container edge:

**After** — tooltip repositions to stay visible:
Image Sizing
- **Take screenshots at native 1x resolution** — don't resize with PIL (creates artifacts)
- **Control display size in HTML** when images are too large:
```html
<img src="url" width="600" alt="description">
```
- **Before/after pairs must use the same viewport width and crop** — otherwise the comparison is meaningless
Uploading Images
Azure DevOps
Upload images as PR attachments via the REST API:
$token = az account get-access-token `
--resource "499b84ac-1321-427f-aa17-267ca6975798" `
--query accessToken -o tsv
$base = "https://{org}.visualstudio.com/{projectId}/_apis/git/repositories/{repoId}"
$url = "$base/pullRequests/{prId}/attachments/screenshot.png?api-version=7.1-preview.1"
# Use HttpClient — Invoke-RestMethod can corrupt binary data
$client = New-Object System.Net.Http.HttpClient
$client.DefaultRequestHeaders.Authorization = `
New-Object System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", $token)
$content = New-Object System.Net.Http.ByteArrayContent(
, [System.IO.File]::ReadAllBytes("screenshot.png")
)
$content.Headers.ContentType = `
[System.Net.Http.Headers.MediaTypeHeaderValue]::new("application/octet-stream")
$resp = $client.PostAsync($url, $content).ResultReference in the PR description:
**Azure DevOps gotchas:**
- **Use `{org}.visualstudio.com` NOT `dev.azure.com/{org}`** — AzDO's markdown renderer uses `.visualstudio.com`. The `dev.azure.com` format loads noticeably slower
- Use `POST` not `PUT` (PUT returns 405)
- API version must be `7.1-preview.1`
- Can't re-upload with the same filename — use a new name (e.g. `screenshot-v2.png`)
- Use `HttpClient` not `Invoke-RestMethod` — IRM can corrupt binary data
- Repo-relative paths don't work in PR descriptions — must use full URLs
- Don't commit images to the branch just for PR screenshots
GitHub
> **⚠️ Work in progress.** GitHub's drag-and-drop image upload uses internal endpoints that require browser cookies. There's no clean public API for uploading images to PR descriptions yet.
**Current workaround:** Commit images to a `pr-assets` orphan branch and reference via blob URLs (`github.com/{owner}/{repo}/blob/pr-assets/{file}?raw=true`). It works but is clunky — contributions for a better approach are welcome.
Guidelines
1. **Capture before state BEFORE making changes** — it's easy to forget, and reconstructing the original state later is slow and error-prone
2. **Keep descriptions br
🎯 Best For
- Claude users
- GitHub Copilot users
- AI users
💡 Use Cases
- Using Pr-Screenshots in daily workflow
- Automating repetitive engineering tasks
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Pr-Screenshots to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
How do I install Pr-Screenshots?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/pr-screenshots/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Not reading the full skill
Skills contain important context and edge cases beyond the quick start.