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NodeSlide
NodeSlide contiene 9 skills recopiladas de HomenShum, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Set, measure, and repair slide copy density against rendered layout capacity. Use during slide planning, generation critique, PPTX preflight, or repair when text is crowded, overflowing, illegible, or competing with visuals.
Detect and fail closed when a presentation generation route substitutes generic or unrelated content for the requested brief. Use before ranking, exporting, accepting, or promoting any model-generated deck.
Require editable, evidence-serving visual artifacts instead of prose-only presentation slides. Use when planning or validating charts, diagrams, screenshots, timelines, comparisons, formulas, code, and other dominant slide primitives.
Apply evidence-backed Claude Sonnet safeguards to NodeSlide story direction, critique, and deck generation. Use when Sonnet proposes a narrative, critiques candidates, or directly composes presentation slides.
Bound Gemini Flash presentation work to independently verified capabilities and prevent generic fallback output. Use when a Gemini Flash route is selected for deck generation, extraction, classification, or other presentation tasks.
Apply evidence-backed safeguards when Gemma 4 26B Free plans or generates a bounded NodeSlide artifact. Use for free-router artifact planning, source-bound visual operations, or zero-cost candidate generation.
Apply evidence-backed Kimi K3 safeguards to NodeSlide deck execution and repair. Use when Kimi K3 is selected for full-deck generation, scoped slide editing, artifact construction, or validation-driven repair.
Diagnose and repair text overflow, internal collisions, and crowded regions inside rendered presentation slides. Use after geometry, density, screenshot, or PPTX validation reports overlap or likely line-capacity failure.
Build evidence-based model capability cards, failure ledgers, routing policies, and provisional skill candidates from controlled presentation benchmark receipts. Use when comparing model versions, separating model behavior from harness behavior, deciding presentation-agent roles, or converting repeated Deck Gym findings into testable skills.