cdp-verification
Verify UI behavior end-to-end by driving the running desktop app over the Chrome DevTools Protocol. Use when asked to verify, reproduce, or confirm a UI change, bug, or regression in the real app rather than in tests.
git clone --depth 1 https://github.com/superset-sh/superset /tmp/cdp-verification && cp -r /tmp/cdp-verification/.agents/skills/cdp-verification ~/.claude/skills/cdp-verificationSKILL.md
# CDP UI Verification "Rules" below is what counts as valid evidence. "Mechanics" is how to attach to the right renderer and repair auth. `apps/desktop/scripts/cdp-smoke-integrations.ts` is a working example script. ## Rules 1. **Target the correct app instance.** Confirm and report the worktree, renderer URL/port, and active route before testing. Follow any task-provided CDP/auth guidance and verify the expected signed-in session. Another running desktop instance is not equivalent. 2. **Reproduce the exact user journey.** Use real browser input and visible UI navigation for the steps the user performs. Assigning DOM properties, invoking internal app APIs, or running component-only scripts is diagnostic support, not proof of end-to-end behavior. 3. **Capture visual and numeric evidence.** Take before/after screenshots paired with relevant CDP measurements (`scrollTop`, focused element, route, persisted state). Confirm the screenshot and the measured state agree. 4. **Exercise the relevant lifecycle.** Include the actual route change, workspace/pane/file switch, remount, or close/reopen from the report. A narrower synthetic flow cannot substitute for the reported interaction. 5. **Treat a mismatch as an incomplete reproduction.** If the test passes but the user still observes the bug, re-check the target instance, exact steps, input method, persisted keys, and lifecycle timing. Reproduce the failure before changing code; a synthetic smoke test does not disprove the report. 6. **Use an evidence gate.** For a reported bug or regression, do not claim verification until the original interaction demonstrably fails before the fix and passes after it under the same observations. For a new feature, record equivalent baseline evidence and demonstrate the expected behavior. State clearly which checks were end-to-end, which were synthetic, and whether screenshots were actually captured. 7. **Test in the real layout, not a staged one.** Do not rearrange the UI to make coordinates convenient (e.g. moving a target project next to the section under test) and then generalize from that pass. Layout-dependent failures live exactly in the configurations a staged setup removes: elements far apart, ambiguous zones between valid targets, scrolled containers, collapsed/empty states. Verify in the user's actual data shape; if a mutation was needed for setup, rerun the key journey in the unstaged arrangement too. Case study: sidebar drag-and-drop passed every staged test, then crashed with "Maximum update depth exceeded" in the real layout because closest-target collision oscillated across the large gap between the Pinned section and a bottom-of-list project. 8. **Drive interactions adversarially, not just happy-path.** A scripted A-to-B gesture proves the feature works once, not that it is stable. For anything continuous (drag-and-drop, resize, scroll-linked UI), also test: back-and-forth oscillation across boundaries, mid-gesture dwells (hold still 0.5-1s where layout can shift under a stationary pointer), long sweeps that trigger autoscroll, repeats of the same gesture, and runs with induced main-thread stalls (`setInterval` busy-loop, e.g. 120ms every 400ms) to force event batching. Watch for feedback loops where the interaction's own state change re-triggers its trigger (transfer → layout shift → re-measure → transfer). Capture `console.error` (hook it and assert empty afterward): "Maximum update depth exceeded" and "Cannot update a component while rendering" are regressions even when the screenshot looks fine. ## Mechanics These apply to the Electron desktop app in `apps/desktop`. To check a change end-to-end against the real API/DB, drive the running dev app over CDP. Launch with an unused port, for example `RENDERER_REMOTE_DEBUG_PORT=9222 bun dev` (full stack; the app may restore a signed-in session), then attach via the page target's `webSocketDebuggerUrl` over a WebSocket (Bun built-in, no deps). Example: `apps/desktop/scripts/cdp-smoke-integrations.ts`. **Never assume port 9222 or attach to a renderer from another worktree.** Multiple Superset workspaces commonly run at once, each with different renderer, API, and CDP ports. Before testing: 1. Read this workspace's final `DESKTOP_VITE_PORT` and `NEXT_PUBLIC_API_URL` values from the root `.env`. 2. Find the Electron process whose executable/parent command path is inside this workspace. Its renderer command line contains `--remote-debugging-port=<port>`; `lsof -nP -iTCP -sTCP:LISTEN` can confirm the owning PID. 3. Fetch `http://127.0.0.1:<port>/json/list` and require a `page` target whose URL uses this workspace's `DESKTOP_VITE_PORT`. A responding CDP endpoint alone is not sufficient proof that it belongs to this branch. 4. Pass the matched values explicitly when using a script, e.g. `RENDERER_REMOTE_DEBUG_PORT=<port> NEXT_PUBLIC_API_URL=<api-origin> bun run apps/desktop/scripts/cdp-smoke-integrations.ts`. Verify `/api/auth/get-session` from inside the matched renderer before testing. ### Repairing CDP auth Check which setup script provisioned the workspace before repairing auth: - `.superset/setup.local.sh` creates a per-workspace local stack and runs the idempotent `bun run db:seed-dev`, but intentionally leaves sign-in as a separate step. If the account may be missing, rerun `bun run db:seed-dev` while the local DB stack is running. - `.superset/setup.sh` seeds `superset-dev-data/auth-token.enc` from `$HOME/.superset/auth-token.enc` when available. Rerunning it without `--force` can fill a missing token. Do not use `--force` merely to repair auth: it resets `superset-dev-data/` before reseeding. The desktop hydrates a persisted token into an in-memory bearer-token closure. A raw `Runtime.evaluate` `fetch` cannot read that closure, and the local-dev sign-in button persists a bearer token but uses `credentials: "omit"`; neither guarantee
Canonical three-section structure for Linear and Superset tickets in this repo. Use when creating, drafting, or grooming a ticket.
Validates project structure against co-location and architecture patterns defined in AGENTS.md
Create workspaces, spawn agents, schedule automations, and manage Superset projects/tasks/hosts via the `superset` CLI. Use to orchestrate coding agents across devices from the terminal.
Create a database migration with Drizzle on a fresh Neon branch. Use when changing the packages/db schema or generating migrations.
Walk the user through design or implementation decisions one at a time, or review completed code one change at a time. Use when the user says "walk me through each decision", "let's decide together", "help me work through these choices", "walk me through what you did", or "QA step by step". Present concise context, mutually exclusive options, log each answer, and finish with a summary.
Critique and improve the visual design of an existing UI component with concrete implementation guidance. Use when the user asks to redesign, restyle, reimagine, polish, or improve a component, screen, or interface, especially in React and Tailwind codebases.
Read and update the Superset desktop app's user settings (theme, fonts, terminal, git, notifications, behavior) via the superset CLI, including creating and installing custom themes from JSON. Use when asked to change app settings, switch or create a theme, adjust fonts, or configure desktop preferences without opening the settings UI.
Personalized audit that teaches the advanced Superset features the user isn't using yet (automations, parallel agents, tasks, multi-host, terminal remote control, custom commands, MCP) and sets them up live. Use when the user wants to get more out of Superset, asks "what else can Superset do", "how do I 10x my workflow", "what am I missing", or wants to learn a specific Superset feature.