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EPUB and ebook ingestion, local vector index, and Q&A CLI for books.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install fabe/mycroft打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Use mycroft to ingest EPUBs and ebooks, build a local vector index, and ask questions about a book.
Setup (once)
export OPENAI_API_KEY="..."
mycroft config onboard
mycroft config resolve
Common commands
mycroft book list
mycroft book ingest /path/to/book.epub
mycroft book ingest /path/to/book.epub --summary
mycroft book ingest /path/to/book.epub --batch
mycroft book ingest /path/to/book.epub --batch --summary
mycroft book ingest resume <id>
mycroft book ingest status <id>
mycroft book show <id>
mycroft book ask <id> "What is the main conflict?"
mycroft book search <id> "mad hatter" --top-k 5
mycroft book delete <id> --force
mycroft chat start <id>
mycroft chat ask <session> "What does this foreshadow?"
mycroft chat repl <session>
Notes
mycroft config path to find the config file location.book ask and book search require embeddings and an OPENAI_API_KEY.OPENAI_API_KEY.book search and synthesize answers yourself before using book ask.--summary only when needed.--batch to run embeddings and summaries via the OpenAI Batch API at 50% cost; results may take up to 24 hours. When combined with --summary, summaries are batched first, then embeddings on resume.--batch ingestion, use mycroft book ingest status <id> to check progress and mycroft book ingest resume <id> to complete indexing.mycroft book ingest resume <id> to continue from the last saved chunk.resume automaticall...这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# mycroft Use `mycroft` to ingest EPUBs and ebooks, build a local vector index, and ask questions about a book. Setup (once) - `export OPENAI_API_KEY="..."` - `mycroft config onboard` - `mycroft config resolve` Common commands - List books: `mycroft book list` - Ingest EPUB: `mycroft book ingest /path/to/book.epub` - Ingest with summaries: `mycroft book ingest /path/to/book.epub --summary` - Ingest with batch embeddings (50% cheaper): `mycroft book ingest /path/to/book.epub --batch` - Ingest with batch summaries + embeddings: `mycroft book ingest /path/to/book.epub --batch --summary` - Resume batch ingestion: `mycroft book ingest resume <id>` - Check ingestion status: `mycroft book ingest status <id>` - Show metadata: `mycroft book show <id>` - Ask a question: `mycroft book ask <id> "What is the main conflict?"` - Search passages: `mycroft book search <id> "mad hatter" --top-k 5` - Delete book: `mycroft book delete <id> --force` - Start chat: `mycroft chat start <id>` - Ask in session: `mycroft chat ask <session> "What does this foreshadow?"` - Continue chat: `mycroft chat repl <session>` Notes - Use `mycroft config path` to find the config file location. - `book ask` and `book search` require embeddings and an `OPENAI_API_KEY`. - Chat commands require embeddings and an `OPENAI_API_KEY`. - Prefer `book search` and synthesize answers yourself before using `book ask`. - Summaries increase ingestion time and cost significantly; enable `--summary` only when needed. - Use `--batch` to run embeddings and summaries via the OpenAI Batch API at 50% cost; results may take up to 24 hours. When combined with `--summary`, summaries are batched first, then embeddings on resume. - After `--batch` ingestion, use `mycroft book ingest status <id>` to check progress and `mycroft book ingest resume <id>` to complete indexing. - If a non-batch ingest is interrupted, use `mycroft book ingest resume <id>` to continue from the last saved chunk. - If a batch fails, `resume` automaticall...
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