local-vault
bygenli-ai· 4 skills
Build and query a local Markdown knowledge base ("vault"). TWO functions — (1) CONVERT raw files (PDF, Word/docx, PowerPoint/pptx, Excel/xlsx, csv/tsv, images, html, md/txt, json/yaml/code, audio/video) into clean Markdown with retrieval-friendly frontmatter; local-first (pandoc / python-pptx / openpyxl / pymupdf4llm / whisper), with cloud OCR (MinerU) only as a fallback. (2) ANSWER questions over the resulting vault with retrieval discipline — self-monitor coverage, flag missing/lossy content, and propose Maps-of-Content (MOCs). Triggers: "build/sync my local knowledge base", "convert these files to markdown for AI", "整理我的资料库", "把文件转成 md 给 AI 读", "本地知识库", "读我的本地 vault 回答", "这个主题我的资料里怎么说". Not for: one-off web research, or files that are already in a single doc you can read directly.
How to install local-vault?
genli-ai/market-research-skills/local-vault
$npx -y skills add genli-ai/market-research-skills --skill local-vaultInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/genli-ai/market-research-skills" --skill "genli-ai/market-research-skills/local-vault"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/genli-ai/market-research-skills" that are relevant to the current task. Run `npx skills add "https://github.com/genli-ai/market-research-skills"` and select the relevant skills, then follow their instructions.
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