Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for AI-coding power users, agent developers, automation builders, knowledge workers, technical writers, AI-curious readers, and any developer building a PPT-generation workflow with an AI agent -- and who can pair GordenPPTSkill with an Anthropic / OpenAI / DeepSeek / Xiaomi Mimo API key for the model surface (any model that can produce JSON), python-pptx 1.0+ for the Python surface, the sc
Who should use it
Who should skip it
Skip GordenSun/GordenPPTSkill for now if you are only tracking items with a 'try now' verdict.
About this signal
GordenSun/GordenPPTSkill is tracked by RepoRadar as a ppt builder skill for ai agents in the AI Office / Document Generation section. It was first seen on 2026-07-06 and last updated on 2026-07-06. The current verdict is 'worth watch' with a Silver tier and easy setup difficulty. The standout signals for GordenSun/GordenPPTSkill are setup ease (8.8) and open-source/build quality (8.4), while maturity (5.6) trails — that balance shapes where it fits best. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned GordenSun/GordenPPTSkill a composite score of 7.6 out of 10, placing it in the Silver tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 1.0 and never affects the composite score or tier. The risk label of 'conditional' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
The 2; 569* / 2-week-stale / 108 MB repo is at active maintenance but the maintainer is a single individual (GordenSun) -- treat the first evaluation cycle as a smoke test (install python-pptx 1.0+ + clone the repo + run `python3 scripts/build_pptx.py templates/minimal-business-summary/template.pptx edits.json out/final.pptx` with a sample edits.json + confirm the .pptx file is produced with the layout preserved) before relying on the 17 templates in production; the README explicitly says the templates are for personal learning + research only (`非商业使用：本仓库及内置模板仅供个人学习与研究，禁止任何商业用途`) -- but per cycle 137 doctrine the raw LICENSE is canonical (standard MIT body; which permits commercial use).