LinkedIn Image Generator

Create high-performing LinkedIn content images — feed posts, article covers, carousel documents, and company page graphics. Use when the user mentions: 'Link...

Security Scan

The skill's requirements and instructions are coherent with its stated purpose (generating LinkedIn images with a Rendshot-style API), but it omits explicit detail about where API calls go and how credentials are provided — verify integration and data handling before use.

Purpose & Capability

Name/description match the instructions: the SKILL.md focuses on producing LinkedIn-optimized images and templates and shows calls like generate_image(), list_templates(), and create_template() consistent with a Rendshot image generation integration.

Instruction Scope

Instructions stay on-task (design guidance, algorithm notes, and image/template generation). They implicitly send user content, brand assets, and template HTML to an external image-generation backend via generate_image()/create_template(), but the SKILL.md does not name an endpoint or explain data handling/retention/privacy.

Install Mechanism

No install spec and no code files are present (instruction-only), so nothing is written to disk or downloaded during install — lowest install risk.

Credentials

The skill declares no required environment variables or credentials. That is not strictly incoherent, but image-generation calls (generate_image, list_templates) normally require an API key or platform integration. Confirm how the agent will authenticate to the Rendshot-like service (platform-managed integration vs. missing requirement).

Persistence & Privilege

No elevated privileges requested: always:false, no config paths, and no self-modifying/install behavior. The skill is user-invocable and may be invoked autonomously (default), which is expected for skills.

Assessment

This skill appears to do what it says: generate LinkedIn-optimized images using a Rendshot-like service. Before installing or using it, verify (1) how generate_image()/create_template() are implemented in your agent environment — does the platform route these to a managed Rendershot integration or will you need to supply an API key? (2) Where will uploaded assets (logos, author photos, template HTML) be sent and stored, and what is the retention/privacy policy? (3) Avoid sending sensitive or proprietary data (private user data, unreleased metrics) in prompts or uploaded assets until you confirm the external service's data handling. If you need stricter guarantees, require explicit documentation of the endpoint and credential use or restrict this skill to non-sensitive content.

LinkedIn Content Image Generator

Create feed posts, article covers, and carousel graphics optimized for LinkedIn's algorithm and professional visual standards.

Workflow

Step 1: Understand the Content Goal

Ask (if not provided):

• What type? (feed post / article cover / carousel / company update)
• What industry? (tech, finance, consulting, HR, marketing)
• Goal? (thought leadership, lead gen, hiring, brand awareness)
• Personal profile or company page?

Step 2: Apply Algorithm-Aware Decisions

Read references/algorithm.md for:

• Content type ranking by reach
• Dwell time and engagement signals
• Posting strategy for B2B audiences
• Avoid suppression patterns

Step 3: Apply Visual Style

Read references/design-style.md for:

• Professional aesthetic standards
• Color palette by industry
• Typography for credibility
• Carousel slide design patterns

Step 4: Generate with Rendshot

Feed Post (1200x627):

generate_image({
  prompt: "LinkedIn feed post for a SaaS startup, professional clean design, title 'We Raised $5M Series A', navy and white palette, company logo area top-left, key metrics grid below title",
  platform: "linkedin_post",
  locale: "en"
})

Carousel (multi-slide, 1200x627 each):

// Slide 1 — Cover
generate_image({
  prompt: "LinkedIn carousel cover, '5 Lessons from Scaling to 100 Employees', professional dark blue gradient, large bold title, author photo area bottom-left",
  platform: "linkedin_post"
})

// Subsequent slides — use template for consistency
generate_image({
  template_id: "tpl_linkedin_slide",
  variables: { slide_number: "1", lesson_title: "Hire slow, fire fast", body: "..." }
})

Using templates:

list_templates({ platform: "linkedin_post", q: "professional" })
get_template({ template_id: "tpl_xxx" })
generate_image({ template_id: "tpl_xxx", variables: { ... } })

Step 5: Save for Brand Consistency

create_template({
  name: "Company Announcement",
  html: "<returned html>",
  variables: [...],
  platform: "linkedin_post",
  tags: ["announcement", "corporate", "professional"]
})

Format Quick Reference

Format	Platform preset	Size	Use case
Feed post	linkedin_post	1200x627	Images, carousels, announcements

Key Principles

• Professional first: No memes, no casual design. Clean, credible, corporate-appropriate.
• Carousel is king: LinkedIn carousels (PDF documents) get 3-5x more reach than single images.
• Value-dense: LinkedIn users expect insights, data, and actionable takeaways.
• Author credibility: Include author name/photo/title — personal branding drives engagement.

References

• Algorithm and reach optimization — ranking signals, content types, posting strategy
• Visual design guide — professional aesthetics, industry palettes, carousel patterns
• Recommended templates — curated templates by content type