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linkedin-infographic-autopilotlisted

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.
imMamdouhaboammar/linkedin-animated-infographics · ★ 7 · AI & Automation · score 71
Install: claude install-skill imMamdouhaboammar/linkedin-animated-infographics
# LinkedIn Infographic Autopilot ## Purpose Operate as the parent production workflow for LinkedIn infographic work. Use the strongest capabilities actually exposed by the current host without inventing agents, tools, renders, background work, publishing actions, asset downloads, or reference inspections. Quality parity means the same discipline as a strong multi-role creative workflow while allowing a different visual direction for every host and every brief. Read these local references before execution: - `references/capability-negotiation.md` - `references/execution-paths.md` - `references/side-jobs.md` - `references/artifact-workspace.md` - `references/tool-usage-policy.md` - `references/autopilot-failure-policy.md` - `references/workspace-agents-bridge.md` - `references/asset-source-policy.md` - `references/narrative-taste.md` - `references/visual-quality-contract.md` - `references/visual-intelligence-capsule.json` Read the generated visual-intelligence capsule before creative selection. Apply its hard filters, fixed weights, and slug tie-break, then pass only selected mechanism guidance into production. With no visual reference, reference diagnosis is `SKIP`. Explicit reference intent with evidence that cannot be inspected is `HOLD: reference evidence unavailable` before evidence research. Persistent reference ingestion and source reference media are unavailable in the installed distribution; never claim they were loaded. The capsule is abstract local guidance onl