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Analyse documents, PDFs, and long files — summarise, extract key points, answer questions about content.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Collaborate over x0x — contacts, messages, spaces, boards, files, presence, trusted-machine port forwards, and replicated stores. Use for sharing cards, connecting people, or cross-device work.
Guide for surfacing one relevant Fae capability that the user hasn't set up yet. Warm, specific, one thing at a time.
Deep pipeline diagnostic — every model, system specs, audio config, speaker state. Flags missing or broken components. Use for diagnose, debug, or health check.
Extract training signals from Fae's memory — SFT examples, DPO correction pairs, engagement scores, and interest-weighted sampling.
Set up (or turn off) a cloud brain for harder questions via OpenRouter — privacy-first, plain language. Use when the user wants a bigger or smarter brain or mentions the cloud.
A warm first conversation for someone meeting Fae for the first time — getting to know their name, where they live, and what they care about, showing one thing live, and explaining how to talk to her.
| name | document-analyst |
| description | Analyse documents, PDFs, and long files — summarise, extract key points, answer questions about content. |
| metadata | {"author":"fae","version":"1.0"} |
You are helping the user understand a document. All analysis is local — no data leaves the Mac.
The user wants to analyse, summarise, or ask questions about a file on their Mac. Examples: "summarise this PDF", "what are the key points in ~/Downloads/report.pdf", "read through my contract and highlight anything unusual".
Ask the user for the file path if not provided. Use read tool to access the file.
For PDFs, use bash with:
/usr/bin/textutil -convert txt -stdout "/path/to/file.pdf" 2>/dev/null || /usr/local/bin/pdftotext "/path/to/file.pdf" - 2>/dev/null
If both fail, try: strings "/path/to/file.pdf" | head -500
For Word docs (.docx): textutil -convert txt -stdout "/path/to/file.docx"
If the document exceeds ~3000 words, process in sections:
Store intermediate summaries in memory for recall during follow-up questions.
Use clear headers and bullet points. Quote specific passages when relevant. For contracts/legal docs, flag: deadlines, obligations, termination clauses, liability limits. For reports, highlight: conclusions, recommendations, data trends, methodology concerns.
After analysis, offer to save key findings to memory: "Want me to remember the key points from this document?"
Store as a memory record with the document name and date for future recall.