Acid Labels PPTX

Acid Labels PPTX Skill

A reusable fixed-style PowerPoint generation skill. It builds on the pptx skill's technical capabilities while locking in the Acid Labels visual identity: a bold, acid-green professional operating guide — modular, label-driven, data-native, and confident.

Core principle — style wins over content volume. When the user's topic contains more information than the format can hold, compress and reinterpret into charts, chips, tiles, and extra slides. The deck must feel like a bold acid-green operating guide for the user's topic — not a generic report, not a copied brand-guidelines deck, and not a text-heavy memo. Every slide is a modular panel in a confident operating system.

This skill is topic-agnostic. It generates Acid Labels decks for any user-provided topic. Never hardcode a sample topic (finance, equities, chips, AI infrastructure, or any other) into a deck. Any topic-specific wording in this file is an example only — replace it at runtime with the user's topic variables.

Step 1: Gather Inputs (Ask First — Max 3 Questions)

Do not start generating immediately. Use the AskUserQuestion tool to present the missing questions in a single call (up to 3 at once). Only ask what the user hasn't already provided in their prompt — if they already gave the topic, slide count, or image choice, skip that question. Do not ask any extra questions unless the deck literally cannot be built without them.

Question 1 — Topic (skip if already provided):

• header: "Topic"
• question: "What is the topic or title of the deck?"
• options: 2–3 relevant example topics plus allow Other

Question 2 — Slide count (skip if already specified):

• header: "Slides"
• question: "How many slides should the deck include?"
• options: 8 slides, 10 slides (Recommended), 12 slides, 15 slides

Question 3 — Images:

• header: "Images"
• question: "How should visuals be handled?"
• options:
  • No generated images — Editable native panels and charts only (Recommended)
  • Generate with gpt-image-2 — Abstract acid-green textures + topic-supporting theme images
  • Use my uploaded / reference images — Insert images I provide

If the user hasn't provided data, audience, dates, or other details, infer neutral content or use clearly labeled placeholder figures (see Content Rules). Do not keep asking. Once you have the three core answers, proceed directly to generation.

Step 2: Topic Translation — Everything Becomes an Operating Guide

Before writing any slide copy, translate the user's topic into an Acid Labels frame. No topic is too technical, soft, or unusual. Every subject becomes a confident operating guide, playbook, or decision system — while preserving the user's actual subject.

Decide these before writing slides, and use them as the cover's curly-brace title moment {TOPIC} and the deck's spine:

• The guide title (the {TOPIC} moment).
• The one-line operating thesis (what this guide is for).
• The taxonomy label stack (2–4 stacked short labels, e.g. category / subject / edition).

Step 3: Generate Images (only if the user chose gpt-image-2)

If the user chose No generated images or uploaded images, skip this step. For uploads, place their images into forest-green image plates and leave editable placeholder rects where images are missing.

If the user chose gpt-image-2, read the generate-image skill at /home/node/.claude/skills/generate-image/SKILL.md for the exact API call pattern. Use openai/gpt-image-2 with response_format: "b64_json" and aspectRatio matching the plate ("16:9" for cover/dividers). Save each image to /tmp/acid-img-N.png.

Generate two clearly separated asset types. Both types must contain no readable text, no logos, no numbers, no real company/brand marks, and no recognizable real people.

Decorative image set — abstract acid-green guideline textures, used only as cover backplates, section-divider image plates, and non-informational background texture:

Abstract acid-green guideline texture, shadowy green gradients, diagonal glass-like shadows,
close-cropped abstract panels, acid-green (#A9FF7A) overlays over deep forest green, subtle grain,
high-contrast black and green geometric shapes. No text, no logos, no numbers, no company marks,
no people. 16:9 composition, flat design-system texture, non-illustrative.

Theme image set — topic-specific supporting images that visually back the user's subject without embedding any slide content:

Abstract supporting imagery evoking [TOPIC MOOD WORDS], acid-green and deep forest green palette,
soft shadows, matte glass surfaces, high-contrast shapes. No readable text, no logos, no numbers,
no recognizable real people, no brand marks. 16:9, atmospheric, non-literal.

Never use gpt-image-2 to make full-slide screenshots, slide mockups, text-heavy graphics, charts with embedded numbers, logos, or anything that should be an editable PowerPoint element. Charts, tables, tiles, matrices, labels, and metadata are always native PowerPoint — never images.

Count guidance: 8 slides → 2–3 images · 10–12 slides → 3–4 · 15 slides → 4–5. Keep at least half decorative.

Step 4: Build the PPTX

Read the pptx skill at /home/node/.claude/skills/pptx/SKILL.md and its pptxgenjs.md reference for the full API and gotchas. Build with PptxGenJS as editable native elements. Output must be an editable widescreen 16:9 .pptx. Do not create HTML, web presentations, screenshots of slides, or rasterized full-slide images.

Core style constants — do not deviate

const ACID    = "A9FF7A"; // dominant brand system color (acid green)
const FOREST  = "3F5E31"; // deep forest panels / image plates
const BLACK    = "000000"; // titles, chart strokes, pill labels
const WHITE   = "F7F7F1"; // light cards, tag chips
const SKY     = "8BD4F4"; // data blocks / chart fills
const PINK    = "F1AEC0"; // analyst notes
const RED      = "C90D0D"; // risk / warning wedges
const YELLOW  = "FFF34D"; // highlight / emphasis blocks

const SERIF = "Bookman Old Style"; // expressive display serif for {curly-brace} title moments (italic)
const SANS  = "Arial";             // condensed-feel sans for labels + compact chart text

Fonts are chosen from the pptx skill's QA-safe list so overflow checks are trustworthy. Use SERIF italic for the big {TOPIC} moments; use SANS (often uppercase with charSpacing) for pill labels, tag chips, taxonomy stacks, footer metadata, chart labels, and body.

Typography sizing (strong hierarchy is mandatory)

Layout — LAYOUT_WIDE (13.3" × 7.5") for a true 16:9 canvas

Set pres.defineLayout / pres.layout = "LAYOUT_WIDE" before adding slides. All coordinates below assume a 13.3 × 7.5 canvas.

The Acid Labels component kit (all native, all editable)

Build slides from these repeatable modules — repetition of the label system is the motif:

• Black pill label — ROUNDED_RECTANGLE, fill: BLACK, high rectRadius, white/acid uppercase SANS text inside, margin: 0. Used for section names and status tags.
• Tag chip — small ROUNDED_RECTANGLE in WHITE or ACID with BLACK text; rows of chips for categories/filters.
• Stacked taxonomy label — 2–4 short SANS uppercase lines, left-aligned, tight leading, in a corner.
• Large section number — 120–220 pt numeral, placed in a FOREST panel or bleeding off one edge, never over a headline.
• Hard-edged modular panel — plain RECTANGLE blocks (ACID, FOREST, WHITE, SKY) in a strict grid; a rounded outer slide frame is fine, inner data panels are hard-edged.
• Forest image plate — FOREST rectangle holding an image or acting as a dark backplate.
• KPI tile — small panel: 36–72 pt metric numeral + tiny SANS label + optional delta.
• Source-note row — a thin bottom row: Source: … · data as of [date] in 10–12 pt.
• Footer metadata dots — tiny SANS text + small circle marks along a bottom edge.
• Rounded slide corners — outer frame with rectRadius; keep it a background frame, never through text.

Data-native visual forms — choose what fits the topic

Prefer turning dense analysis into visuals rather than prose. Use native addChart() / native shapes for: stacked bar, grouped bar, line, pie/donut, waterfall, comparison tables, sensitivity heatmaps (grid of colored cells), probability–impact risk grids, scenario matrices (2×2), dashboards (tile clusters), KPI tiles, source-note rows, and structured decision checklists. Adapt these to the user's topic — never force finance-specific charts where they don't fit. Follow the pptx skill's chart gotchas (native charts only; set title/data labels/chartColors from the palette above; quiet the axes; stacked labels use ctr/inEnd/inBase, never outEnd).

Everything — text, blocks, section numbers, pills, chips, taxonomy stacks, metadata dots, rules, source rows, KPI tiles, tables, charts, matrices, grids, dashboards — must be editable native PowerPoint elements.

Acid Labels System Rules — These Override Everything

The most common failure is a text-heavy memo hiding behind acid-green paint, or decorative elements colliding with content. These rules prevent that. When a rule conflicts with fitting more content, the rule wins — compress or split instead.