Start the local viralman dashboard at http://localhost:8765 — three pages (Twitter / Reddit / Gitmail) with header tab switching, a free-text "what to write" prompt that drives AI generation per platform, unified top-right login, and a language switcher.
Drive the gitmail outreach flow that sends personalized cold emails to GitHub stargazers of similar repos. Batches the user's four upfront decisions (language / subject style / targeting strategy / recipient count) into a single AskUserQuestion call before any heavy work runs, finds similar repos and collects recipient emails, renders a fast single-LLM-call dry-run preview of the email body, and gates live SMTP send strictly behind an explicit user confirmation.
Find tweets where it's natural to reply "I built this thing — want to take a look?", and either inspect the candidates in the dashboard or send a personalized reply. The skill drives a two-step flow — scrape first, then optionally reply — and pushes the candidate list to the dashboard's /twitter-reply page so the user can browse cards (body / author / link / engagement) before deciding which ones to engage.
Drive the end-to-end flow that turns a one-line intent into platform-tuned, non-AI-feeling posts and publishes them to the user's Reddit / X / LinkedIn after explicit confirmation.
Single entry point that asks the user which channel to configure (gitmail / twitter / reddit / linkedin), then walks them through saving only that channel's credentials. Supports plain-text token paste with a security warning, in addition to the recommended `read -s` pipe.
Shared building blocks for project-promotion skills — project intent capture, language picker, subject format presets, and the "manual / 직접 입력하기" override pattern. Not user-invokable on its own; channel skills (gitmail / viral / future channels) reference this file so each channel skill can stay focused on its unique pipeline (collection, send, post, log).