Task Router Skill
Task Router
EPUB and ebook ingestion, local vector index, and Q&A CLI for books.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install fabe/mycroftInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
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...These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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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