How does this skill differ from standard browser-based SEO tools or Lighthouse reports?

This skill performs deep, multi-pass audits of both live URLs and local source code, providing prioritized repair steps rather than just high-level performance scores. It effectively bridges the gap between identifying a slow site and knowing exactly which line of code or configuration is causing the bottleneck.

What are the technical requirements for running this skill on my AI agent?

This skill requires a local Node.js environment and Chrome/Chromium to execute technical audits. It is compatible with major AI agents that support local tool execution or code interpreter environments, such as AutoGPT, Open Interpreter, or custom LangChain implementations.

Can I use this to audit a website that hasn't been deployed yet?

Yes, the skill is designed to inspect local directory structures for frameworks like Next.js and React. It analyzes your components and configurations without making any modifications, allowing you to catch performance issues before you deploy to production.

What exactly is included in the purchase?

You will receive the structured skill manifest, the analysis engine integration for Node.js, and documentation for the reporting schema. It includes pre-configured workflows for technical, copy-focused, and combined audit modes.

What kind of output can I expect from a completed analysis?

The skill generates structured reports in Markdown or self-contained HTML formats. Each report includes prioritized findings with evidence-based impact ratings and specific verification steps to ensure the fix was successful.

website tech content analysis

Example session with this skill installed

Run a technical audit on my local project at ./apps/marketing-site and output a markdown report. Focus on performance and accessibility.

Read your context and instructions
Compiled the website tech content
Generated the image

I have initiated the technical audit for the local repository at ./apps/marketing-site. I have verified the environment and confirmed that Node.js 22.19 and Lighthouse 13.4.1 are available.

The audit targeted 5 representative pages: /, /pricing, /about, /blog, and /contact.

Technical Audit Summary: apps/marketing-site

Finding	Category	Severity	Confidence	Fix
Missing Image Alt Text	Accessibility	Critical	Confirmed	Add `alt` attributes to 12 images in `components/Hero.tsx`.
Excessive DOM Size	Performance	High	Confirmed	Flatten nested wrappers in `layouts/MainLayout.tsx`.
Unoptimized Hero Image	Performance	High	Likely	Implement `next/image` or WebP formats for `public/banner.png`.
Missing JSON-LD	SEO	Medium	Confirmed	Inject `Organization` schema in `pages/_document.tsx`.

Raw Data Points:

Median Performance Score: 74/100
Accessibility Score: 82/100
Best Practices: 90/100
SEO Score: 85/100

Next steps

Review the full report at output/reports/audit.md for specific line-number references.
Run the suggested image optimization script in scripts/optimize-assets.mjs.
Re-run the audit after applying fixes to verify score improvements.

Hero.tsx

PNG · 1536×1024

Generated

Example file from a real run - the skill writes it into your workspace.

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

About this skill

Auditing a website often results in vague scores that don't explain how to fix the underlying issues. This skill provides deep, actionable analysis of local repositories or public URLs to bridge the gap between performance metrics and actual code repairs.

What it does

Multi-mode Auditing runs technical, copy, or combined audits based on specific project needs.
Lighthouse Integration executes automated performance, accessibility, and SEO checks using Node.js.
Source Code Inspection analyzes local directory structures, components, and configurations without modifying files.
Intent Alignment evaluates website messaging against documented business goals to identify conversion gaps.
Structured Reporting generates Markdown or self-contained HTML reports with prioritized fixes and verification steps.

How it works

Intake requires selecting a mode (technical, copy, or combined), an input (local path or URL), and an output format.
Analysis triggers specialized workflows for page discovery, intent gathering, and tool preflight checks.
Execution runs the audit engine, performing multiple Lighthouse passes for medians or deep-crawling repository source files.
Validation checks findings against a strict schema to ensure every issue includes evidence, impact, and repair guidance.

Frameworks & tools

Built for Node.js environments using Lighthouse, Playwright, and Axe. It supports modern web frameworks and standard repository structures for local analysis.

Why this beats prompting it yourself

Standard prompts often hallucinate fixes or miss hidden configuration errors in the repository. This skill uses a structured priority contract and multi-run medians to ensure every recommendation is backed by reproducible evidence.

Use cases

Auditing a local Next.js or React repository before a production release.
Evaluating a competitor's landing page copy against their public business intent.
Generating a white-label HTML performance report for a non-technical stakeholder.
Refreshing internal SEO practices based on current search engine requirements.

Known limitations

Does not support remote private repositories or PDF output. Requires a local Node.js environment and Chrome/Chromium for technical audits. Does not automatically apply code fixes.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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website tech content analysis