Status basis: github_stars gained 250 in the last 3d vs 162 in the 3d before (ratio 1.5x, threshold 1.5x)
- Accelerating github_stars gained 250 in the last 3d vs 162 in the 3d before (ratio 1.5x, threshold 1.5x)
- Anomaly daily change 19.0 is -3.8 standard deviations from this entity's own prior mean (75.0±14.9, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 12.0 is -4.2 standard deviations from this entity's own prior mean (74.0±14.8, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating github_stars gained 276 in the last 3d vs 175 in the 3d before (ratio 1.6x, threshold 1.5x)
- Anomaly daily change 17.0 is -3.8 standard deviations from this entity's own prior mean (74.1±15.2, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 15.0 is -3.8 standard deviations from this entity's own prior mean (73.3±15.4, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 12.0 is -4.2 standard deviations from this entity's own prior mean (74.7±15.0, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating github_stars gained 229 in the last 3d vs 148 in the 3d before (ratio 1.5x, threshold 1.5x)
- Anomaly daily change 14.0 is -4.6 standard deviations from this entity's own prior mean (76.8±13.5, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 18.0 is -4.6 standard deviations from this entity's own prior mean (78.2±13.2, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 19.0 is -4.5 standard deviations from this entity's own prior mean (79.2±13.3, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating github_stars gained 297 in the last 3d vs 166 in the 3d before (ratio 1.8x, threshold 1.5x)
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | — | unknown | — |
| Pricing model | — | unknown | — |
| Integrations | — | unknown | — |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
It bridges AI generation with high-end visual design and deliverable output, lowering the barrier to creating professional-grade presentations
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“AI-agent Skill for generating polished HTML slide decks”— description
“适配 Claude Code / Codex 等 Agent 环境的网页 PPT 技能”— readme
“npx skills add https://github.com/op7418/guizang-ppt-skill”— readme
FAQ
What is guizang-ppt-skill?
guizang-ppt-skill generates professional, interactive HTML presentations with magazine and Swiss design aesthetics, complete with image prompts and WebGL playback.
What does guizang-ppt-skill do?
To quickly turn text or concepts into visually polished, interactive HTML slides for sharing or presenting
Why does guizang-ppt-skill matter?
It bridges AI generation with high-end visual design and deliverable output, lowering the barrier to creating professional-grade presentations
Is guizang-ppt-skill open source?
Yes — guizang-ppt-skill is open source.
How popular is guizang-ppt-skill?
As tracked by KanonAgent: 26.0k upvotes (first indexed 2026-07-24).
What are the best guizang-ppt-skill alternatives?
Similar AI agents tracked by KanonAgent: ECC, open-design, deer-flow, Agent-Reach, ruflo, career-ops.