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Knowledge Base Builder

Checked
onewave-ai·vlatest·productivity·MIT

This tool automatically constructs a searchable knowledge base from your documents, streamlining information access and boosting productivity.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add onewave-ai/claude-skills --skill knowledge-base-builder -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

onewave-ai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned onewave-ai/claude-skills at f317e08649.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
f317e08649
Manifest
knowledge-base-builder/SKILL.md
Scanned
1 file, 58 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The knowledge-base-builder skill allows AI agents to dynamically construct and manage custom knowledge bases from unstructured data sources like PDFs, web pages, or text files. It enables agents to ingest information, organize it into retrievable chunks, and maintain an up-to-date internal context for accurate responses.

When to use it

  • You need to onboard a new employee handbook or policy document so your agent can answer HR questions accurately.
  • Your team publishes weekly research reports that must be immediately available for the agent to summarize in meetings.
  • You are integrating product documentation from multiple vendors into a single, searchable knowledge repository for support agents.
  • A legal team needs to ingest thousands of case files to allow an agent to cite specific precedents during contract reviews.

Key capabilities

  • Ingests diverse file formats including PDFs, plain text, and HTML content directly from URLs or local uploads.
  • Automatically parses raw documents into structured, semantic chunks optimized for retrieval systems.
  • Maintains a persistent knowledge store that agents can query to ground their answers in provided data.
  • Supports incremental updates, allowing new information to be added without reprocessing the entire dataset.

Example prompts

  • "Read the attached Q3 financial report and create a knowledge base so I can ask you about revenue trends later."
  • "Summarize these three competitor analysis PDFs into a single knowledge base for our strategy team."
  • "Ingest the latest company safety protocols from this URL and update your internal guidelines immediately."

Tips & gotchas

Ensure source documents are well-formatted; messy HTML or scanned images without OCR may reduce parsing accuracy. Monitor storage limits if ingesting large volumes of data, as excessive chunking can slow down retrieval queries.