# crazyykhllc-bit/CyberPPT

一个用于生成高密度、可编辑、咨询风格 PowerPoint 的 Codex Skill，支持 SCR 叙事、风格确认和 PPTX 质量检查。

Repository: https://github.com/crazyykhllc-bit/CyberPPT
Canonical: https://ross.abutalabs.com/products/cyberppt
Language: Python
License: MIT
License Family: permissive
Last push: 2026-07-20T12:48:49+00:00

## Health v2 (maintenance only)
Score: 55/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 93, release rhythm 35, longevity 5
- inputs: {"age_days": 71, "days_push": 44, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1642, forks 167 (observed 2026-08-28T04:05:15.437617+00:00)

## What it is
CyberPPT is a Codex Skill that converts documents, research materials, and business data into high-density, editable, consulting-style PowerPoint presentations. It enforces a three-phase workflow (evidence analysis, style/blueprint selection, page-by-page PPTX generation) with SCR narrative structure and multiple QA gates.

## Use cases
- generate consulting-style powerpoint decks from research documents
- turn pdf and xlsx business data into editable slides
- create high-density executive briefing presentations
- build board meeting decks with evidence-backed content
- produce SCR-narrative structured slide decks
- automate pptx quality checks for slide generation

## When to choose
- you need dense, information-rich consulting-style slides rather than sparse presentation decks
- you want slides that remain fully editable in PowerPoint rather than exported images
- you need traceable evidence chains from source documents to slide content
- you want automated QA gates for structure, density, and visual fidelity

## When to avoid
- you need low-density, narrative, or speech-oriented presentations with minimal text
- you want quick one-shot slide generation without a multi-phase workflow
- you require pixel-perfect 100% fidelity without manual post-editing
- you are not using Codex or an agent environment that supports skills

## Facets
- artifact type: plugin
- maturity: active
- function: llm-inference, prompt-engineering, data-visualization, pdf, etl
- domain: developer-tools, data-visualization
- platform: python, cli, cross-platform
- tags: codex-skill, powerpoint, pptx-generation, consulting-style, scr-narrative, slide-deck, quality-gates, editable-slides, automation

## Member repositories
- crazyykhllc-bit/CyberPPT (main) score 55

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:15.437617+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:46:19.875936+00:00, confidence not recorded.
  - readme: https://github.com/crazyykhllc-bit/CyberPPT (fetched 2026-08-28T04:05:15.437617+00:00, sha 8e8ce09b27ae)
- Data as of 2026-08-30T08:39:29.467469+00:00.