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linkedin-animated-infographicslisted

Use when building, concepting, styling, animating, rendering, auditing, or reviewing LinkedIn animated or static infographics to ensure MasterOne front-door onboarding, GPT-5.6 Sol / Pro Agent Router worker delegation, 30-second watchdog liveness supervision, and deterministic 17-subagent production sequencing.
imMamdouhaboammar/linkedin-animated-infographics · ★ 2 · AI & Automation · score 68
Install: claude install-skill imMamdouhaboammar/linkedin-animated-infographics
# LinkedIn Animated Infographics: Master Orchestration Engine ## Overview This skill coordinates the entire LinkedIn animated and static infographic production ecosystem. Start with `helper/GUIDE.md`; do not create a parallel routing or capability model. ## Machine-readable authority - `helper/router.json`: routes - `helper/capabilities.json`: owners and plugin-local defaults - `helper/quality-gates.json`: local creative/product gates - `helper/artifacts.json`: handoff artifacts - `helper/modules.json`: active skills, agents, and public tools - `research/capability-notes/gates.json`: adopted research-derived runtime gates - `architecture/plugin-graph.json`: shipping sequence and required skill preloads - the merged registry returned by `scripts/info_stories.py::load_catalog()`: complete Info-stories authority The merged registry returned by `scripts/info_stories.py::load_catalog()` combines `skills/info-stories/catalog.json` with `skills/info-stories/extensions/*.json`. `catalog.json` alone is not the complete authority. ## Actual stack - Python 3 for validators, registries, render tooling, and public CLIs - Markdown for skills, agents, docs, research, and plans - HTML / CSS / SVG for fixed 1080x1350 artboards and deterministic motion - shell for setup/lint/render wrappers - JSON for plugin, routing, capability, gate, artifact, module, and Info-stories contracts - unittest for regression and architecture tests --- ## When to Use ``` User Request │ ▼ [Step 0