Claude Skills by imMamdouhaboammar

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.

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.

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

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

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.

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.

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.

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.

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

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.

Source: https://github.com/Leonxlnx/taste-skill Inspected commit: `e988add20dab0fa97d7a76781c48961c8184288e` License: MIT

Produce Arabic or bilingual LinkedIn infographic copy and layout with native RTL reading order, bidi-safe technical terms, Arabic-aware typography, and evidence-safe hooks.

Choose and execute the static 1080x1350 infographic composition, including hierarchy, verified identity assets, intentional typography, Story House tokens, center-first alignment, UI surfaces, contrast, and feed-scale legibility before motion.

Write or edit evidence-safe LinkedIn captions, opening hooks, CTAs, and first comments using one caption archetype, mobile truncation discipline, and the repository anti-slop rules.

Resolve the infographic story contract across verified identity assets, Story House, Visual Style, Story Archetype, typography, Motion Patterns, creative concept, UI story behavior, and evidence-safe design choices before HTML production.

Use an exact verified mascot SVG as a story element, choose a communication role and creative motion direction, preserve identity, and keep character motion inside the infographic budget.

Design and implement deterministic seekable infographic motion that communicates reading order, state, reveal, hierarchy, or route direction while preserving a complete first frame and clean loop.

Run the complete evidence-to-delivery workflow for a static or animated LinkedIn infographic, including verified identity sourcing, creative concepting, typography direction, story architecture, production, critique, and independent verification.

Route LinkedIn infographic requests to the correct complete or focused workflow using the repository helper, capability gates, creative defaults, and artifact contracts.

Run deterministic render checks, local creative gates, adversarial critique, and independent evidence-backed acceptance against a built infographic before shipment.

Render an existing infographic artboard HTML to a deterministic looping GIF, then report motion, seam, and file-size evidence without changing the approved design.

Capture deterministic infographic frames, assemble GIF output, measure motion/seam/file size, and run the render acceptance gates before shipment.

Package a verified infographic demo for the public gallery and, after explicit user opt-in, prepare a community pull request without merging it.

Animate an exact SVG mascot, logo, icon, or character with identity-preserving, rig-aware, professional motion for deterministic or runtime delivery tracks.