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ui-pr-recording

Use during PR creation for a UI feature or feature task.

Skill by open-metadata

IndexedApache-2.0★ 15,567
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/open-metadata-ui-pr-recording

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Use during PR creation for a UI feature or feature task. Run the PR build in Docker with sample data, record the feature, and upload the verified video into the GitHub PR description. Standalone fixes, refactors, styling and localization changes do not require this workflow.

Use cases: design, devops, data, productivity, version-control, testing

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/ui-pr-recording

What's inside

Skill name
ui-pr-recording
Description
Use during PR creation for a UI feature or feature task. Run the PR build in Docker with sample data, record the feature, and upload the verified video into the GitHub PR description. Standalone fixes, refactors, styling and localization changes do not require this workflow.
License
Apache-2.0
Instructions
139 lines in SKILL.md · view on GitHub

Before installing

  • Instructions call the network

Files (1)

  • SKILL.md

SKILL.md (first lines)

# UI PR recording

Produce evidence of the feature running against a real local OpenMetadata stack as part of
[pr-checklist](../pr-checklist/SKILL.md) when creating its PR.
The requirement is recorded in ADR:2026-10-10-ui-prs-require-docker-screen-recordings.

## Scope and completion

Inspect the task/linked issue and the diff against the PR's base. This requirement applies when
creating a PR that implements or extends a UI feature, including a task or subtask of that feature
with UI impact. Standalone bug fixes, refactors, styling, localization, docs, tests and backend-only
work may use `Not applicable — <reason>` in the recording section. Classify by the task and its
behavior, not just changed paths or labels. A styling task that delivers part of a UI feature
still qualifies.

Run this step during PR creation, not automatically during implementation or a standalone review.
A user can still explicitly request a recording for any change. For a qualifying PR, prepare a
description containing a playable GitHub-hosted video, the recorded commit, Docker startup/health
evidence, sample-data setup, and the steps and outcomes shown.
Screenshots supplement the video; a local path, test trace, terminal recording, mock-only UI or
TODO does not satisfy the requirement. Required automated tests remain separate checks.

When invoked from `pr-checklist` Step 5, complete sections 1–3 only and return the verified local
video path and evidence for the PR body. Section 4 runs at `pr-checklist` Step 7, after Step 6 has
prepared the complete body for review; capture must not create or edit a PR.

## 1. Run the PR build in Docker

Use [test-locally](../test-locally/SKILL.md) for prerequisites and the existing build workflow.
Build the committed PR code, including the UI, and record `git rev-parse HEAD`. Do not use a
released image or skip the build unless the existing artifact is verified to contain that code.

Inspect `docker ps` and the Compose configuration first. The local runner stops both default dev
stacks even with `-r false`; its default `-r true` deletes database files. If another task owns
those services, use an isolated Compose stack with distinct container names, host ports, network
and volumes. A different project name alone is insufficient: the base Compose file pins names,
ports, a subnet and a database bind mount. Do not stop another task's stack or delete its data.

For an available default dev stack, from the repo root:

```bash
source env/bin/activate
make generate
./docker/run_local_docker.sh -m ui -d mysql -s false -i true -r false
docker compose -f docker/development/docker-compose.yml ps
curl --fail --silent --show-error http://localhost:8585/api/v1/system/version
```

Verify the server revision matches the recorded build and the server, database and search services
are healthy. Use the configured URLs/Compose files for an isolated stack. Keep Docker running
through recording and verification, and report its final state; do not tear it down implicitly.

The runner loads the repository's sample data through ingestion. Wait for the data the demo needs
and verify it in the UI/API; a successful startup alone does not prove ingestion succeeded.
Alternatively, ingest the repository sample data into the isolated stack and create a small
synthetic fixture through the API for the changed flow. Record setup commands/fixture names and
any sample-loader failures. Failures affecting the demo must be fixed before recording.

## 2. Capture the changed flow

Use the available browser recording tool or the UI project's installed Playwright. Confirm the
tool produces an actual video; screenshot-only tools cannot satisfy this task. For Playwright,
set both `viewport` and `recordVideo.size` explicitly to the same dimensions; start with
1920×1080 for a desktop flow. Without an explicit video size,
[Playwright scales the video to fit 800×800](https://playwright.dev/docs/videos).
Retain `page.video()`, then await context closure before reading/saving the video.
If reusing login state, include IndexedDB in
`storageState` when authentication uses it. Keep authentication files and tokens out of artifacts.

Check a short sample before recording the whole flow. Choose a viewport suited to the feature and
keep small labels legible at the size reviewers will watch; extra pixels alone do not fix tiny text.
For a sharper capture or clearer cursor movement, consider a native recorder when available:

| Recorder | Useful when |
| --- | --- |
| [OBS Studio](https://obsproject.com/kb/recording-encoder-presets-guide) | Recording the browser window at its native resolution; its **Indistinguishable** preset favors quality over file size. |
| [Screen Studio](https://screen.studio/) (macOS) | Adding focused zooms and cursor/click emphasis; it supports MP4 exports up to 4K at 60 fps. |

These are optional capture choices, not required dependencies or purchases. Keep actions and
outcomes visible when zooming. Capture at the desired resolution/frame rate instead of upscaling
or interpolating an existing clip; re-encoding cannot recover detail lost during capture.

Show navigation to the feature, the action and its visible result against the Docker server.
For a preference, show both states and switching back. Include persistence, permission or
error behavior when the change affects it. Use UI/API assertions to verify the outcomes instead
of treating a completed click sequence as success. Use real server responses, not route mocks.

Keep the clip focused and text readable; captions are useful when the state change is not obvious.
Record with synthetic sample data and omit credentials, tokens and unrelated browser content.
Save artifacts outside tracked source files. After further UI/runtime changes, rebuild and record
again. Documentation or test-only commits can reuse evidence if the demonstrated runtime code is
unchanged; retain the actual recorded SHA and explain that in the description.

## 3. Verify the video

Open the finished clip and check that it plays, covers every claimed state, and shows readable
results without clipped dialogs. Check duration/file size and inspect frames from the beginning,
changed state and end. Prefer H.264 MP4 for browser compatibility; MOV and WebM are also supported
by [GitHub attachments](https://docs.github.com/en/get-started/writing-on-github/working-with-advanced-formatting/attaching-files).
Compress or split a rejected oversized upload without hiding relevant behavior.

Keep the original capture. If MP4 conversion is needed, encode once from that source. A useful
quality-oriented starting point with [FFmpeg's libx264 encoder](https://ffmpeg.org/ffmpeg-codecs.html#libx264_002c-libx264rgb)
is CRF 18 and the slow preset, preserving the source dimensions and frame rate:

```bash
ffmpeg -n -i recording.webm -c:v libx264 -preset slow -crf 18 \
  -pix_fmt yuv420p -c:a aac -movflags +faststart recording.mp4
```

Inspect the result before choosing a smaller export. Check small text, moving/scrolling regions and
captions in the uploaded version too; a higher bitrate or a larger file is not proof of readability.

## 4. Upload at PR-checklist Step 7

Run this section only at the publication step, once creation/update is authorized. Use the
complete body file from `pr-checklist` Step 6, including its evidence and local video reference.
[PR-checklist Step 7](../pr-checklist/SKILL.md#step-7--create-or-update-the-pr) owns the create/edit
commands; do not create a second PR from this skill. A standalone capture request without upload

From open-metadata/OpenMetadata, Apache-2.0.

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Stars
15,567
Forks
2,481
Open issues
677
Contributors
519
Last commit (this folder)
Oct 10, 2026 (17 days ago)
Last release
Oct 21, 2026 (6 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from open-metadata

Cite this page

ui-pr-recording skill. Agent Mart. https://agentmart.dev/skills/open-metadata-ui-pr-recording (last updated 2026-10-24)