Ross ROSS = Recommend OSS · open-source software intelligence for agents

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。 observed · 2026-08-28

github.com/crazyykhllc-bit/CyberPPT · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

55/100

  • Activity 93
  • Release rhythm 35
  • Longevity 5

Flags: no_releases young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 71
  • days_rel: n/a
  • days_push: 44
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1642 stars · 167 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

plugin · maturity active

llm-inference prompt-engineering data-visualization pdf etl developer-tools data-visualization python cli cross-platform codex-skill powerpoint pptx-generation consulting-style scr-narrative slide-deck quality-gates editable-slides automation

1 source

Member repositories

RepositoryRoleHealth v2
crazyykhllc-bit/CyberPPTmain55

For agents

markdown · JSON · MCP: product_card(name="crazyykhllc-bit/CyberPPT")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem