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Unlock LinkedIn Success: AI-Powered Content Audit Tool

Unlock LinkedIn Success: AI-Powered Content Audit Tool

Regular price £12.99
Regular price £12.99 Sale price
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Works withClaude CodeCursorCodex
Unlock LinkedIn Success: AI-Powered Content Audit Tool

Unlock LinkedIn Success: AI-Powered Content Audit Tool

Regular price £12.99
Regular price £12.99 Sale price
SAVE Sold out

Unlock LinkedIn Success: AI-Powered Content Audit Tool

The "Unlock LinkedIn Success: AI-Powered Content Audit Tool" is an AI agent skill designed for analysing and evaluating LinkedIn content performance. This tool audits past posts and LinkedIn analytics data to identify successful strategies and areas for improvement.

What this skill does

  • Performs a post-mortem analysis of previously published LinkedIn content to determine what strategies were effective and which were not.
  • Requires input from the user, such as LinkedIn analytics exports in CSV format, screenshots with impressions and engagement metrics, or basic posts alongside their reaction counts.
  • Calculates various metrics:
    • Engagement rate: Measures the effectiveness of a post in terms of reach, calculated as (reactions + comments + reposts) / impressions.
    • Comment ratio: Evaluates the potential of a post to incite discussion, calculated as comments / reactions.
    • Reach multiple: Assesses how far a post has travelled beyond the current audience reach, calculated as impressions / follower count.
    • Save/send rate: Computed when data is available, indicating bookmarking or sharing frequency.
  • Cross-references with `~/.claude/linkedin/log.md` if available, to determine which content formulas were applied.

Who it is for

  • Developers working with AI coding agents like Claude Code, Cursor, and Codex.
  • Teams seeking to understand and enhance the performance of their LinkedIn content.
  • Data analysts interested in extracting insights from social media engagement metrics.

Use cases

  • A content strategist looks to refine LinkedIn marketing strategies by analysing the effectiveness of past campaigns.
  • A developer integrates this tool into an AI agent to automate the evaluation of LinkedIn content performance.
  • A team optimizes social media engagement strategies based on data-driven insights from this audit tool.

Technical details

  • Utilises AI-powered analysis capabilities provided by Claude Code, Cursor, Codex.
  • Incorporates the "li-audit" functionality for comprehensive LinkedIn post evaluations.
  • Processes LinkedIn analytics data inputs in various formats including CSV and screenshots.

Source & Licence

This package is built on open-source work published by Jakeschincariol (Jakeschincariol/linkedin-agent-skill) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

  • Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
  • Format: ZIP archive containing the skill files, documentation and the original licence.
  • Support: support@mcpcart.com — we aim to reply within 2 business days.
  • Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.

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