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B2B LinkedIn Domination & Thought Leadership Suite
A data-driven B2B LinkedIn suite for profile auditing, content strategy, and high-conversion landing page generation.
Free
B2B LinkedIn Domination & Thought Leadership Suite
Example session with this skill installed
Analyze my LinkedIn post data from posts.csv and tell me if my carousels are actually performing better than my text posts.
- Read your context and instructions
- Compiled the b2b linkedin domination
- Generated the UI component
I have processed posts.csv through the performance analyzer and pattern miner.
LinkedIn Performance Analysis
The analysis confirms a performance delta, but with high variance. While carousels show a higher median, the overlap in the Interquartile Range (IQR) suggests that topic selection is a significant confounding variable.
| Metric | Text Posts (n=14) | Carousels (n=11) | Delta |
|---|---|---|---|
| Median Impressions | 1,240 | 2,890 | +133% |
| Median Engagement | 42 | 98 | +133% |
| MAD (Variance) | 412 | 1,120 | High |
| Outlier Threshold | 2,400 | 5,800 | - |
Pattern Validity:
The "Carousel Advantage" survived the permutation test (p < 0.05). In 2,000 label shuffles, the observed difference was only matched in 42 instances. However, the high Median Absolute Deviation (MAD) in carousels indicates that "visual quality" or "slide count" is likely a sub-variable.
Next steps
1.
Isolate the variable: Run a 4-week experiment using the experiment_planner.py script to test high-contrast vs. low-contrast carousel designs.
2.
Audit the fold: Use post_linter.py on your next carousel intro to ensure the hook completes within the first 140 characters.
3.
Diversify: Since text post variance is lower, maintain one "anchor" text post per week to stabilize baseline reach.
posts.csv
TSX · React component
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
LinkedIn growth is often a cycle of inconsistent posting, vanity metrics, and eventually, abandonment. This suite provides a deterministic, data-driven framework to build an organic B2B presence that actually converts, built on the principle that strategy and engagement matter more than volume.
What it does
- Profile optimization audits headlines and "About" sections against the mobile fold to ensure scanners convert into evaluators.
- Content linting checks drafts for mechanical faults, accessibility failures like Unicode pseudo-bold, and mobile-readability constraints.
- Data analysis runs permutation tests on your exported LinkedIn CSVs to identify real patterns while refusing to over-conclude on small datasets.
- Outreach guarding enforces safety limits on invitations and connection notes to protect your account from restriction.
- Landing page generation builds high-conversion, GSAP-animated HTML pages to capture the traffic your LinkedIn presence generates.
How it works
- The Policy Gate validates every intent against LinkedIn's User Agreement to prevent scraping, pods, or automation risks.
- The Goal Router directs you to specific modules for profile auditing, strategy planning, or content drafting based on your immediate needs.
- Intake interview asks forcing questions about your audience and product to eliminate generic boilerplate before any copy is written.
- Script execution uses 17 internal Python scripts to score headlines, plan rosters, and split long-form sources into post ledgers.
Frameworks & tools
Built with Python stdlib-only scripts for portability. High-conversion landing pages utilize GSAP, 3D CSS animations, and Google Fonts via CDN.
Why this beats prompting it yourself
Generic prompts produce "engagement bait" that LinkedIn's algorithm demotes. This skill enforces strict mechanical rules, such as character-limit folds and accessibility standards, while grounding every strategy in your own historical performance data rather than AI-hallucinated "best practices."
Use cases
- Thought leadership for executives needing a sustainable 90-day posting plan.
- Career change positioning for professionals rewriting their profiles for new industries.
- Consulting growth using commenting rosters to reach target audiences without cold DMing.
- Product launches requiring a visually premium one-page site and supporting social content.
Known limitations
Does not support automated posting or API calls due to platform safety rules. Analysis requires a minimum of 10 posts for statistically significant conclusions.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Marketing & SEO.
No automated posting or scraping. Analysis requires 10+ posts. Refuses bulk DMs. Profile audit requires manual input of section text or worksheet.
How to use
- 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
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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