SeeyeeTech
@SeeyeeTech Organization
Public Skills
ai-daily-frontier
by SeeyeeTech
Generate a flagship-grade daily "all-web AI frontier" digest benchmarked against MorningAI — covering papers, model & product launches, benchmarks, funding/acquisitions, and engineering practice across labs, OSS, and media. Fan-out collection (targeted WebFetch + bilingual WebSearch) feeds two-stage scoring and adversarial fact verification, then assembles a tiered Chinese digest. Use when the user wants the all-web AI news daily ("AI 前沿日报", "AI 资讯日报", "daily AI news", "frontier digest"). Sibling skill ai-daily-ecosystem covers this project's open-source ecosystem signals.
md2wechat
by SeeyeeTech
Use when publishing Markdown articles to WeChat Official Account - handles quote formatting, markdown lint, MD-to-HTML conversion, and optional API publishing with Unsplash cover image
resource-miner
by SeeyeeTech
Deep analysis and value mining of "resource-type" GitHub repositories — awesome lists, learning materials (tutorials, roadmaps, courses, books, interview prep), and atypical non-code projects (config specs, template/rule libraries, doc sites, media playlists, free-service repos). Analyzes curation quality, content scale & structure, update rhythm & automation signature, distribution/commercial model, and replicability — instead of code architecture. Use when the target repo is a curated collection, a study/learning resource, or a non-code project, or when the user asks to analyze an awesome-list / tutorial / roadmap / dataset-style repo. Also handles Agent Skills repos (--type skills): inventories the SKILL.md collection and runs a REAL eval (via the skill-assay skill) on the flagship skill, embedding the verdict in the report. For ordinary code projects use repo-miner instead.
repo-miner
by SeeyeeTech
Deep analysis and value mining of GitHub repositories across three dimensions: network analysis (author profile, community heat, growth trends), meta analysis (code stats, commit history, development rhythm), and content analysis (architecture, innovation, reusable patterns). Use when the user wants to analyze a GitHub repo, evaluate a project's value, mine a repo for insights, or asks "analyze this repo", "is this repo worth studying", "what can I learn from this project".
ai-daily-ecosystem
by SeeyeeTech
Generate a daily "open-source AI ecosystem" digest centered on this project's own unique data — today's GitHub Trending, what whitelisted AI leaders are starring, cross-window heating repos — with deep links back to 380+ existing analyses. Use when the user wants the open-source AI daily ("开源 AI 日报", "生成今日开源日报", "ecosystem digest"). Sibling skill ai-daily-frontier covers general all-web AI news.