e2e-pr-stabilizer

Solid

Stabilizes or optimizes Playwright E2E tests on one PR via a local-first loop, then ratifies with a single CI run. Pulls Dash0 spans (`git.pull_request_link`) as the historical baseline, then captures every iteration's evidence locally with `--trace=on` (same OTel exporter, same trace schema). Validation is empirical, not predictive: before commit, every new locator must resolve against source (static grep) or the live app (`locator.count()`); after commit, the fixed test must pass three consecutive local runs before the single push. Modes: `stabilize` (default) heals flaky / failing tests; `optimize` is report-only and ranks slow-action wins by measured ms saved. Refuses `.skip`, `.fixme`, `waitForTimeout`, or any check-weakening edit. Use when a PR has flaky or failing E2E tests or when you want to find slow tests worth tightening. Triggers on "stabilize this PR", "fix flaky e2e", "heal playwright on PR", "ui-e2e is failing", "self-heal e2e", "optimize e2e", "/e2e-pr-stabilizer".

Testing & QA 13 stars 2 forks Updated yesterday MIT

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Quality Score: 86/100

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Recency 20%

100

Frontmatter 20%

Documentation 15%

100

Issue Health 10%

License 10%

100

Description 5%

100

Skill Content

# E2E PR Stabilizer Stabilize the Playwright E2E suite for a single pull request using **evidence, not assumptions**. Spans, traces, and the live app are the source of truth — not the CI dashboard. This skill never proposes a fix without a measurement to point at, and never commits a fix until three consecutive local runs prove it works. > **This `SKILL.md` is a thin index.** > Detailed procedures live in [`rules/*.md`](./rules) and [`templates/*.md`](./templates). > Each phase loads only what it needs. --- ## What this skill combines | Source | Role | |--------|------| | [Playwright Healer agent](https://playwright.dev/docs/test-agents) — external; one of the [Playwright Test Agents](https://playwright.dev/docs/test-agents) on the [Playwright MCP server](https://github.com/microsoft/playwright-mcp) | Test-debugging methodology — how to fix a Playwright test correctly. | | [`/playwright-trace-analyzer`](../../analysis/playwright-trace-analyzer/SKILL.md) | Per-run `trace.zip` extraction, hotspot ranking. | | [`/ci-auto-fix`](../../delivery/ci-auto-fix/SKILL.md) | Reused only for Phase 7's single push + watch — the iteration loop no longer lives here. | | Dash0 MCP server (`dash0-dev` or `dash0-prod`) | Historical evidence — failure recurrence, retry counts, span-level evidence across CI runs. | | Local Playwright runner | Primary evidence source — trace.zip per run, OTel spans to Dash0 (`ci.is_ci=false`), and the live app for selector verification. | | GitHub Actions (one...

Details

Author: mthines
Repository: mthines/agent-skills
Created: 4 months ago
Last Updated: yesterday
Language: JavaScript
License: MIT

Integrates with

GitHub · DevTools Playwright · Testing Model Context Protocol · AI

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