Agent Academy is a free, source-linked library of skills, prompts, MCP servers and bot templates, organised into courses by profession, for people who hand real work to AI agents: 1,467 live resources, each with its original link, license and safety tags.
Skill
pptx-reference-deck-analysis
Original text · EnglishUse when analyzing a reference PPTX for read-only structure, theme, typography, layout rhythm, diagnostics, derived template catalogs, or safe OOXML package inspection.
Keep the source deck read-only and independently author every target-slide coordinate.
Use the bundled OOXML utilities only for raw themes, relationships, notes, comments, animations, media, masters, or layouts that high-level extraction cannot expose.
Record inspected parts and parsing exceptions in the analysis manifest.
Do not use extracted content, fonts, images, or proprietary assets in a generated deck without explicit permission and license evidence.
OOXML package inspection
Install defusedxml from requirements.txt before using the bundled utilities.
Run scripts/inspect.py <deck.pptx> for a compact JSON report of slide order, text, theme tokens, relationships, notes, comments, animations, and media.
Run scripts/validate_package.py <deck.pptx> --output <report.json> for malformed XML, broken internal relationships, content-type gaps, duplicate layout links, and orphaned parts.
Run scripts/unpack.py <deck.pptx> <output-dir> only when raw-package evidence is necessary.
Resolve relationship targets relative to the .rels owner; never infer slide order from filenames.
Safety
Never modify a supplied deck or blindly copy package parts into a new deck.
Run the scripts from a trusted workspace; they reject path traversal, symlinks, oversized members, and archive bombs.
Parse untrusted XML with defusedxml; do not enable entity expansion, DTD loading, or network access.
Treat theme colors as tokens unless fully resolved against the color scheme.
See references/reference-deck-analysis.md for output shapes, references/reference-deck-analysis-patterns.md for documentation-only patterns, and references/ooxml-parsing.md for package part maps.
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`,…
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar…
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.