More screenshots

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    Web Design Lead Qualifier

    4

    Automated deep-research and scoring agent for qualifying web design prospects and drafting bespoke outreach.

    Free

    105 usesSecurity scanned
    web-design-lead-qualifier

    web-design-lead-qualifier

    Example session with this skill installed

    Qualify this lead for me: acmeplumbing.ie. After you finish the report, show me a preview of the results.

    • Read your context and instructions
    • Compiled the web-design-lead-qualifier

    See screenshots below ⬇️

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

    About this skill

    What it does

    Turns your AI agent into a lead research assistant for freelance web design. Point it at a prospect's website and it crawls their pages, audits their tech stack, scores their fit on 5 signals, and writes a full qualification report you can act on. Then drafts a personalised first-contact email with talking points.

    Why this over just prompting

    Prompting gets you a generic summary. This skill gets you a structured, evidence-based assessment — the agent actually crawls the site, reads multiple pages, and scores against real criteria (need, size, budget, accessibility, timing). Honest scores, not inflated ones. Every finding traces back to a source. No SaaS, no cloud — your reports live as markdown files on your machine.

    What's included

    • Site crawler — Fetches the homepage plus 3–5 key pages (about, services, contact, reviews). Playwright for JS-rendered sites, requests as fallback
    • 5-signal scoring — Need, size, budget, accessibility, timing. Honest 1–10 score with detailed reasoning
    • Qualification report — Company overview, web presence audit, fit assessment, key findings, unverified items flagged, and a clear recommendation
    • Email draft + talking points — Personalised first-contact email referencing specific findings from the report, plus a structured brief for writing your own version
    • Anti-hallucination rules — Every claim must be sourced. Unverified items are flagged. Numbers are traceable. No invented statistics

    How it works

    Everything runs locally. A Python script handles the site fetching (with DNS validation and redirect checking for security). Setup takes 2 minutes — the agent asks where to save reports, optionally installs Playwright, and you're ready. Works with Claude Code, Codex CLI, OpenClaw, Cursor, Gemini CLI, and any agent that supports SKILL.md files.

    Ready for the full pipeline?

    This is the standalone lead qualifier. WebClient Studio adds a pipeline tracker with local database, AI proposal builder, and client onboarding — everything from qualified lead to signed project. Your qualification reports feed directly into proposals and briefs.

    Requirements

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

    • Cannot bypass CAPTCHAs or gated content.
    • Scoring is based on public data only.
    • Accuracy depends on Playwright for JavaScript 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.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill goes through the trust checks below.

    Security scanned

    Checked by our 8-point scan before listing

    105 uses

    Times used to date

    Free to use

    No account required to browse

    Trust & safety

    Security scan

    Security scan passed 6 months ago

    • Free with an Agensi account

    Permissions

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

    What's inside

    Frequently Asked Questions

    This skill automates the heavy lifting of lead research by crawling a prospect's site, auditing their tech stack, and scoring them on five key signals like accessibility and budget fit. It solves the problem of generic outreach by providing evidence-based reports and personalized email drafts rooted in real data.

    The skill is designed to work with any agent that supports SKILL.md files, including Claude Code, Codex CLI, Cursor, and Gemini CLI. It runs locally on your machine via a Python script, ensuring your research data remains private and secure.

    Setup takes about 2 minutes and requires Python 3.8+. The agent will automatically guide you through installing necessary dependencies like BeautifulSoup and optionally Playwright if you need to crawl JavaScript-heavy websites.

    You receive the site crawler, a 5-signal scoring system, a structured qualification report generator, and a personalized email drafting tool. It also includes built-in anti-hallucination rules to ensure every finding in your report is sourced from the prospect's actual website.

    Unlike cloud-based tools, this skill runs entirely on your local hardware and saves all reports as Markdown files. This means there are no ongoing SaaS subscriptions, and you maintain full ownership and privacy of your lead intelligence.

    Yes, the crawler is built to handle modern web standards. While it uses traditional requests by default, it includes optional Playwright integration specifically to navigate and extract data from sites built with React, Vue, or other JavaScript frameworks.

    New in Sales & Lead Gen

    Free