matthiasn/lotti

review-comments

Fetch PR review comments, address each one in code, and post resolution replies

beads

Use for authorized Lotti maintainer work that needs private durable task tracking, issue dependencies, blocker management, multi-session handoff, or shared agent memory. Public contributors use GitHub Issues instead.

tutorial-videos

Build, debug, extend, localize, or publish the automated tutorial videos — the workbench that drives the real Linux app under Xvfb (virtual mic, live Voxtral transcription, task-agent proposals), records the screen, narrates with Gemini TTS, fast-forwards…

add-flutter-docusaurus-locale

Add, complete, or audit a locale across a Flutter application's ARB catalogs and a localized Docusaurus manual, including generated localization code, locale selectors, native platform declarations, translated MDX, screenshot fixtures, tests, and parity…

maintain-docusaurus-manual

Maintain a Docusaurus product manual whose prose, navigation, localized page trees, screenshots, coverage metadata, and release build must stay aligned with the application. Use when adding or revising manual pages, documenting a product change, updating…

skeptical-review

Act as a skeptical senior engineer performing a detailed code review of the latest changes on the current branch (or a given PR) — best practices, maintainability, performance, security, and readability. Objective and concise; only real issues, with a clear…

design-review-panel

Run a multi-agent design review on a UI surface — capture reproducible baseline screenshots, then rate them with a panel of design experts (one agent per craft dimension) and, optionally, a panel of user personas with different cognitive styles. Iterate…

app-screenshots

Capture in-app screenshots of a widget or flow at mobile + desktop sizes — offline, deterministic, real fonts and icons — using the reusable screenshot harness. Use when asked to "show me X in the app", "screenshot this screen", or to preview a UI change for…

analyze-db-logs

Analyze Drift / SQLite slow-query and super-slow-query logs against this app's known stall patterns (read waves, N+1, transaction scoping, MultiExecutor contention, WAL/OS factors)