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LinkedIn Animated Infographics

ChatGPT plugin

Build LinkedIn visual stories

View in ChatGPT directory

Build feed-ready LinkedIn infographics through evidence checks, narrative architecture, verified logo and mascot sourcing, concept exploration, perception preflight, macro-layout planning, still-first critique, disciplined motion, targeted visual repair, and final verification. The Skills-only package can use host-native workspace and Python capabilities when those capabilities are actually available, without requiring an external app or MCP server.

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#1936of 8,7936places up24h32places up7d
#1,609#2,592#3,575#4,558Sep 27Oct 3Oct 9Oct 15Oct 21Oct 26

Rank in Productivity

#392of 2,1462places down24h3places up7d
#324#525#726#927Sep 27Oct 3Oct 9Oct 15Oct 21Oct 26

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Productivity392nd of 2,146 by placement
#PluginPosition7d
390COR#191544places down
391Jotter#19309places down
392LinkedIn Animated InfographicsThis page#193632places up
393Ladder Pick#194051places down
394Meeting Mate#194251places down

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Example prompts

  • “Use MasterOne and autopilot to turn this idea into an animated LinkedIn infographic.”
  • “Create an Info-story from this material and choose the best story shape before designing it.”
  • “Review this finished LinkedIn infographic and tell me what must be fixed before publishing.”

Skills

  • exact-svg-mascot

    Animate a named or official mascot using the exact user-supplied SVG while preserving its identity. Use when the mascot asset must not be redrawn, substituted, approximated, or silently regenerated.

  • host-workspace-operator

    Inspect, search, modify, and verify files or repository state using the safest host-native ChatGPT/Codex capabilities available.

  • linkedin-caption-narrative

    Use when writing or rewriting LinkedIn captions for repos, plugins, AI workflows, GIFs, infographics, technical ideas, curated collections, tool explainers, belief-correction posts, or first-comment link payloads that need a strong mobile hook and mechanism-first narrative

  • linkedin-infographic-autopilot

    Run LinkedIn infographic work in autopilot mode by negotiating available host capabilities, using real side jobs and sandbox artifacts when available, and falling back honestly when they are not. Use for end-to-end creation, redesign, animation, or rigorous production workflows in ChatGPT or Codex.

  • linkedin-infographic-review

    Review a finished static or animated LinkedIn infographic before publishing. Check hierarchy, visual balance, dead space, generic UI patterns, copy, evidence, motion, rendering, and feed-scale legibility without redesigning unrelated content.

  • linkedin-infographic-studio

    Create or redesign a static or animated LinkedIn infographic with evidence checks, verified identity sourcing, narrative taste, concept exploration, intentional typography, macro-layout planning, still-first visual critique, disciplined motion, and final verification. Use for full infographic creation in ChatGPT or Codex.

  • masterone

    Start LinkedIn infographic work by onboarding reusable project preferences, resolving only route-relevant missing inputs, and selecting the correct OpenAI production or focused skill. Use first when a ChatGPT or Codex user starts or resumes infographic work.

  • sandbox-python-executor

    Use host-native Python for deterministic file processing, package inspection, hashing, validation, and other executable verification when Python is actually available.

  • share-community-demo

    Prepare and publish a verified LinkedIn infographic demo to the community gallery through a contributor GitHub pull request. Use only after explicit user consent, rights confirmation, and final verification PASS.

Categories
Made by
Mamdouh Aboammar · Website
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On Install
Capabilities
Read, Write
Availability
Available
Version
3.7.0
Keywords
linkedin, infographic, animation, visual-storytelling, narrative-taste, autopilot, creative-direction, visual-qa, verified-identity, typography, arabic, rtl
Created
August 8, 2026
More info
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