Automate Manual Process

Analyze a screen recording of a manual process and produce targeted, working automation scripts. Extracts frames and audio narration from video files, reconstructs the step-by-step workflow, and proposes automation at multiple complexity levels using tools already installed on the user machine.

Decompose work into small, verifiable tasks with explicit acceptance criteria, ordered by dependencies and sliced vertically for reliable implementation.

Delivers changes incrementally by building in thin vertical slices, testing and verifying each piece before moving to the next.

Enforces running verification commands and confirming output before claiming work is complete, fixed, or passing, to prevent false success claims.

Scaffolds a per-task verification skill for a repo, including a dev-local launcher, a browser driver, and a verification SOP that spawns a sub-agent to drive the app and produce proof.

Create zero-dependency, animation-rich HTML presentations that run entirely in the browser, supporting new builds, PowerPoint conversion, or enhancements with strict viewport and design constraints.

Builds a configurable scraping agent that collects data from APIs, HTML, or RSS, enriches it with Gemini AI scoring, and stores results in Notion, Google Sheets, Supabase, or local files.