Ingest and search local transcripts and documents via a CLI with a Bleve-based index.
npx skills add https://github.com/aiguy611/cc-tools --skill kb-aiguy611
Please help me install this Agent Skill. Skill: kb Source: https://github.com/aiguy611/cc-tools/tree/main/.github/skills/kb Command: npx skills add https://github.com/aiguy611/cc-tools --skill kb-aiguy611
This skill provides a self-contained local knowledge base CLI that ingests, indexes, and searches transcripts and documents, enabling offline access and quick retrieval.
Ingest a document into the knowledge base and run a search to retrieve relevant chunks.
High-intent search queries and answers about installing and using this skill.
You can search meeting transcripts and documents locally by ingesting files into a local knowledge base that chunks and indexes content using a Bleve-based index for offline, single-machine retrieval.
The best way to ingest and index documents via a CLI is using a self-contained data store that chunks content and builds a Bleve-based full-text index, performing all operations locally without external network calls.
Yes, you can filter local knowledge base search results by type, speaker, and date, receiving structured JSON outputs that match your specific query criteria.
No, this offline knowledge base tool performs all operations locally without external network calls, relying entirely on a self-contained data store and a local Bleve-based index.
You get structured JSON output from full-text searches by querying the local knowledge base CLI, which returns indexed chunks and metadata matching your search terms.
Nikhil-Chopra-7Sanitize meeting transcripts and extract structured decisions, actions, and feedback.
vm0-aiReturn web-grounded search results with source citations via the Perplexity API.
giuseppe-trisciuoglioChunk documents into semantically meaningful segments for RAG systems.
steipeteIndex local files and search them with BM25, vector, and hybrid queries.
