ワンクリックで
pptx-deck-context
Use when preparing the narrative, sources, and design context for a new editable PPTX deck.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Use when preparing the narrative, sources, and design context for a new editable PPTX deck.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | pptx-deck-context |
| description | Use when preparing the narrative, sources, and design context for a new editable PPTX deck. |
Prepare the deck before coordinates or PPTX objects are authored. This skill owns the business narrative, source lineage, and design lock.
mckinsey, scqa, pyramid, mece, action-title, assertion-evidence, exec-summary-first, or custom; do not choose silently.source_ref for every metric, quotation, chart value, and factual claim.references/design-profiles.md.summary before authoring slides.See references/design-profiles.md for reusable profile guidance.
Use when validating or repairing an editable PPTX deck for geometry, accessibility, native editability, source lineage, and OOXML package integrity.
Use when analyzing a reference PPTX for read-only structure, theme, typography, layout rhythm, diagnostics, derived template catalogs, or safe OOXML package inspection.
Use when authoring or repairing a coordinate-explicit JSON specification for an editable PPTX deck.
Use when selecting and placing approved supporting icons, images, SVGs, diagrams, or infographics in an editable PPTX deck.
Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.
Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.