Generates desktop browser workflow documentation by exploring the app's codebase, then walking through the live app with the user step-by-step via Playwright to co-author verifications. Use when the user says "generate desktop workflows", "create desktop workflows", "update desktop workflows", or "generate browser workflows".
Generates mobile browser workflow documentation by exploring the app's codebase, then walking through the live app with the user step-by-step via Playwright in a mobile viewport (393x852) to co-author verifications. Use when the user says "generate mobile workflows", "create mobile workflows", "update mobile workflows", or "generate mobile browser workflows". Produces numbered workflow markdown files that feed into the mobile converter and Playwright runner. Includes iOS HIG awareness and mobile UX anti-pattern detection.
Generates multi-user workflow documentation by interviewing the user about personas, exploring the codebase for multi-user patterns, then walking through the live app with per-persona Playwright CLI named sessions to co-author interleaved, persona-tagged workflows. Use when the user says "generate multi-user workflows", "create multi-user workflows", or "generate concurrent user workflows". Produces persona-tagged workflow markdown that feeds into the multi-user converter and Playwright runner.
Executes workflow markdown files interactively via Playwright CLI, stepping through each workflow action in a real browser. Use when the user says "run workflows", "run playwright", "test workflows", "execute workflows", or wants to interactively test their app against workflow documentation. Supports desktop, mobile, and multi-user workflows with authentication.
Load saved Playwright storageState authentication profiles before browser automation. Activates when `.playwright/profiles.json` exists and browser work begins on authenticated pages. Trigger phrases include "use profile", "load profile", "browser as [role]", "authenticated browser", "logged in browser session".
Synthesizes accumulated QA learnings from .qa-learnings/ledger.md into prioritized, actionable plugin improvements. Use when the user says "review learnings", "what have we learned", "improve the plugin", "learnings report", or "synthesize QA feedback".
Filters and submits accumulated QA learnings as a GitHub issue (with optional PR) on the plugin repo. Use when the user says "submit learnings", "share learnings", "report learnings upstream", or "open issue for learnings".
Audits SaaS and usage-based web apps for adversarial usage patterns — accidental, opportunistic, and deliberate. Use this when the user says "adversarial audit", "abuse case audit", "idiot-proof this app", "find usage exploits", "business logic audit", or "how could users break this". Explores the codebase to map the economic surface area (pricing tiers, usage limits, free trials, costly resources), then generates abuse cases where user behavior — intentional or not — could break assumptions, bypass limits, amplify costs, or corrupt state. Produces a prioritized markdown report with findings, code locations, and fix recommendations, then optionally verifies findings interactively in a browser.