Create professional slide decks from topics or documents. Generates structured content with data-driven charts, speaker notes, and complete PPTX files. Applies persuasive storytelling principles (Pyramid Principle, assertion-evidence). Supports multiple formats (Marp, PowerPoint). Use for presentations, pitches, slide decks, or keynotes.
npx skills add https://github.com/daymade/claude-code-skills --skill ppt-creator
> Goal: Transform a simple topic into a presentation-ready, high-quality slide deck. When key information is missing, use the minimal intake form (references/INTAKE.md) to gather context or apply safe defaults. Then follow the workflow (references/WORKFLOW.md) to produce an outline, slide drafts, charts, and speaker notes. After generation, self-evaluate using the rubric (references/RUBRIC.md); if the score is < 75, automatically refine up to 2 iterations until ≥ 75 before delivery. See Deliverables section for final output structure.
Use this skill when the user requests:
scripts/chartkit.py to generate PNG charts; otherwise, create placeholder diagrams with a list of required data fields./output/):/output/slides.md: Markdown slides (Marp/Reveal.js compatible), with assertion-style headings + bullet points/chart placeholders + notes/output/assets/*.png: Generated charts (if applicable)/output/notes.md: Full speaker notes and delivery outline/output/refs.md: Citations and data sources/output/presentation.pptx: If python-pptx is available, export to PPTX; otherwise, keep Markdown and include instructions for "one-click conversion to PPTX" in the first screen (does not block delivery)When the user requests a "complete" or "presentation-ready" deliverable, ppt-creator automatically orchestrates the full pipeline: content creation → data synthesis → chart generation → dual-path PPTX creation (Marp + document-skills:pptx) → chart insertion. This typically delivers TWO complete PPTX files with different styling for user comparison.
Activation: Phrases like "complete PPTX", "final deliverable", "ready for presentation"
Duration: 4-6 minutes (parallel execution)
Output: presentation_marp_with_charts.pptx + presentation_pptx_with_charts.pptx
For orchestration details, see references/ORCHESTRATION_OVERVIEW.md (start here), then navigate to specialized guides as needed.
matplotlib/pandas are unavailable, fall back to text + placeholder diagram instructions.Stage 0 - Archive Input: Record user's original request, defaults used, and assumptions made.
Stage 1 - Structure Goals: Rewrite the goal into "who takes what action when" (clear CTA).
Stage 2 - Storyline: Use Pyramid Principle to define "one-sentence conclusion → 3-5 first-level reasons → evidence."
Stage 3 - Outline & Slide Titles: Create a 12-15 slide chapter skeleton. Each slide has one assertion-style heading.
Stage 4 - Evidence & Charts: Use the Chart Selection Dictionary from VIS-GUIDE. If data is provided, call chartkit.py to generate PNGs; otherwise, create placeholder + required field list.
Stage 5 - Layout & Accessibility: Apply STYLE-GUIDE for font sizes, spacing, contrast ratios, color palettes; unify units and decimal places.
Stage 6 - Speaker Notes: Generate 45-60 second notes per slide: opening → assertion → evidence explanation → transition.
Stage 7 - Self-Check & Scoring: Run CHECKLIST; score with RUBRIC. If score < 75, focus on weakest 3 items, refine, re-score (max 2 iterations).
Stage 8 - Package Deliverables: Generate /output/ directory with slides.md / notes.md / refs.md / assets/*.png. If python-pptx is available, export PPTX.
Stage 9 - Reuse Instructions: Append a "5-step guide to replace data/colors with your own" at the end of notes.md.
Minimal 10-Item Questionnaire (use defaults if missing):
10. Deliverable format preference? (Default: slides.md + optional PNG charts; export PPTX if available)
Detailed step-by-step process from "topic" to "presentation-ready output."
Slide Template Library (assertion-evidence style):
Data Visualization Selection & Labeling Standards:
Layout & Style (neutral theme, supports brand replacement):
PPT Quality Scoring Rubric (100 points; ≥ 75 to deliver):
Each item scored 0-10:
10. Robustness: Gaps explicitly marked, fallback plan & next steps provided
Self-evaluation process: Run CHECKLIST first, then score each item and write top 3 low-scoring items + improvement actions. If total < 75, apply actions and re-score (max 2 iterations).
Pre-flight checklist for final quality assurance before delivery.
Two Usage Examples:
Minimal chart renderer for ppt-creator.
Usage:
python scripts/chartkit.py \
--data path/to/data.csv \
--type line \
--x date \
--y sales profit \
--out output/assets \
--filename kpi_trend.png \
--title "Monthly KPIs"
Notes:
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Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.
Take daymade/ppt-creator from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.