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mycroft

EPUB and ebook ingestion, local vector index, and Q&A CLI for books.

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Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install fabe/mycroft

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/fabe/mycroft
Version
—
Commit
92f07eb42398c5b23552e93b3fb4b3ce43fdd8cc
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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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