pleasefixai/meticulous
Visual regression test runs, replays and screenshot diffs in Meticulous.
Overview of the Meticulous CLI tool and its global options. Use when asking about the meticulous CLI in general, available commands, or global flags that apply to all commands.
Check whether the Meticulous CLI (@alwaysmeticulous/cli) is installed and up to date, and install/update it if not. Invoked at the start of every other Meticulous skill, since the CLI is under active development with frequent changes and improvements.
Iterative frontend development loop using Meticulous for per-step visual validation. Use when implementing a multi-step frontend change and want to catch visual regressions and unintended side effects at each step, before the final cloud test run.
Analyze a completed Meticulous test run — fetch the diff summary, inspect representative screenshots, DOM diffs, and timelines. Resolves the test run from the local repo's current commit (the default), or from an explicit test-run ID or commit SHA. Use when asked to review Meticulous test results, or while reviewing or babysitting a pull/merge request to assess and fix a failing Meticulous Tests CI check.
Run a Meticulous session simulation against a live URL and analyze the visual output — either by inspecting screenshots directly (quick-check mode) or by comparing pixel and HTML diffs against a base replay. Use when checking whether a code change has introduced visual regressions for a specific session.
Run a Meticulous test run after implementing a frontend change, then hand off to the meticulous-review skill to classify each visual change as intended or unintended. Uploads the build once — the same build can be re-triggered against different bases without rebuilding — and it works with uncommitted changes. Use when implementing a feature autonomously end-to-end before creating a PR.
Download and use structured Meticulous session data (user flows + network mocks) for testing code changes locally. Use when you need to understand what user interactions and API calls a test covers, or when you want network mocks for writing tests.