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Skill
pptx-visual-assets
Original text · EnglishUse when selecting and placing approved supporting icons, images, SVGs, diagrams, or infographics in an editable PPTX deck.
Republished in full under its license, with attribution. The source is authoritative.
name: pptx-visual-assets
description: "Use when selecting and placing approved supporting icons, images, SVGs, diagrams, or infographics in an editable PPTX deck."
PPTX Visual Assets
Use visual assets to support a slide's message, never to flatten or replace editable content.
Workflow
Select the asset type only when it improves comprehension: icon, image, SVG, diagram, or infographic.
Confirm the local asset path, source, usage rights, and concise alt text before placement.
Add the asset with a final inch bbox, deliberate z-index, and content or layout_design classification.
Preserve aspect ratio and check that no asset covers readable text or leaves essential information locked in an image.
Rules
Use simple, legible icons alongside text labels.
Place captions beside images rather than over them.
Use true SVG sources only when they are clean vectors; never wrap a raster image in SVG and call it editable.
Recreate essential labels, legends, values, and process steps with native PowerPoint objects.
If rights, provenance, or a suitable asset are unavailable, omit the asset and report the gap. Never add a placeholder as a finished visual.
Record provider or source details in the source manifest. Never request secrets in chat.
See references/asset-guidance.md for licensing, placement, and SVG constraints.
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Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use after generating code, after accepting AI suggestions, or when reviewing AI-written modules. Also use when code works but feels brittle, when error handling seems thin, when orphaned resources or missing cleanup are suspected, or when the agent claims done but hidden debt may exist. Catches the specific failure patterns AI agents produce that humans would not.