Webclient Studio

What it does

Turns your AI agent into a complete freelance web design pipeline. Four skills working together — qualify leads by researching their actual website, generate scoped proposals from discovery notes, onboard clients with automatic briefs and checklists, and track every lead, follow-up, and task in a local database. Import your existing spreadsheet of contacts. Export anytime to CSV.

Why this over just prompting

Prompting gets you a one-off proposal. WebClient Studio gives you a pipeline — every interaction is stored, every lead is tracked, every follow-up has a timer. The agent remembers what happened last week because your data lives in a local SQLite database, not in chat history. No SaaS subscription, no cloud dependency — your data stays on your machine.

What's included

• Lead Qualifier — Crawls the prospect's site, audits their tech stack, scores fit 1–10, writes a full qualification report
• Proposal Builder — Turns discovery call notes into a scoped, professional proposal with pricing, timeline, and deliverables
• Project Onboarder — Generates a project brief, client checklist, and sitemap draft from the qualification report
• Pipeline Tracker — Your command centre. Statuses, follow-up alerts, tags, tasks, search, CSV import/export

How it works

Everything runs locally. Python scripts handle the database and web research. Setup takes 2 minutes — the agent asks where you want to store data, configures everything automatically, and you're ready. Works with Claude Code, Codex CLI, OpenClaw, Cursor, Gemini CLI, and any agent that supports SKILL.md files.

Requirements

• Python 3.8+
• `requests` and `beautifulsoup4` (installed during setup)
• Playwright optional but recommended for JavaScript-rendered websites (~150MB)