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    Webclient Studio

    5

    A full-cycle freelance management suite to qualify leads, build proposals, and track your project pipeline locally.

    $7

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    webclient-studio

    webclient-studio

    Example session with this skill installed

    Show me what a generated qualification report and proposal look like before I run the setup.

    • Read your context and instructions
    • Compiled the webclient-studio

    See Screenshots for example outputs ⬇️⬇️

    Or visit https://github.com/99rebels/webclient-studio-examples to see full report examples

    Connects securely to your tools. The creator never sees your data.

    About this skill

    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)

    • Requires a local Python 3.8+ environment.
    • Web scraping performance varies by site structure.
    • Playwright (150MB) required for JS-heavy sites.

    Open docs

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Trust & safety

    Security scan

    Security scan passed 6 months ago

    Requires

    Python

    Permissions

    Terminal / Shell
    Browser
    Network Access
    Environment Variables
    Write Files
    Read Files
    Listed6 months ago
    Updated6 months ago

    What's inside

    Frequently Asked Questions

    Unlike standard prompts, this skill uses a local SQLite database to store lead data, project statuses, and history. This means your agent can reference past interactions and track follow-ups without losing context after a chat session ends.

    This suite is compatible with any AI environment that supports .SKILL or SKILL.md formats, including Claude Code, Cursor, Codex CLI, OpenClaw, and Gemini CLI. It bridges your local filesystem with the agent's reasoning capabilities.

    No SaaS subscription is required; all data is stored locally on your machine in a database you control. For web crawling, it utilizes Python libraries like BeautifulSoup and Playwright, the latter being optional for sites that require JavaScript rendering.

    Setup is automated and typically takes under two minutes. Once you provide the skill to your agent, it will guide you through directory configuration and install necessary Python dependencies like 'requests' and 'beautifulsoup4' automatically.

    Absolutely. The Pipeline Tracker includes comprehensive CSV import/export functionality, allowing you to bring in existing leads from your current spreadsheet and export your local database for use in other reporting tools.

    New in Business & Operations