beever-atlas

Name: beever-atlas Review
Item: beever-atlas
Rating: 3.2
Author: Aaron Matthews

Skill Development Usable

Your First LLM-Wiki Conversation Knowledge Base

Ask Claude to search your team's internal documentation wiki for deployment best practices
Generate answers to common engineering questions by querying your organization's knowledge base
Find relevant code examples and architectural patterns from your company's documentation library

334 starsApache-2.0 (commercial OK)FreeQuick setup

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Reduces onboarding friction and documentation debt by converting unstructured knowledge into queryable conversation-based contexts, lowering ramp time for engineers and support costs for distributed teams.

Best for

Engineering teams with fragmented documentation seeking searchable, conversational access to institutional knowledge without wiki maintenance overhead.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/Beever-AI/beever-atlas

By Beever-AI

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Command

claude plugins install Beever-AI/beever-atlas

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars334Last updated2026-05-19LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Community Pulse Emerging

Discussed on Reddit

Has anyone benchmarked wiki-first RAG against chunk-first RAG on conversational — Reddit · 5 pts

1 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 334 GitHub stars; contributors unknown; last commit 1d ago; license Apache-2.0.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

4/5

Reliability

3/5

Security

3/5

Overall score3.25 / 5.00 UsableEvaluatedMay 2026

Scored from trust signals (evidence-eval-v1): 334 GitHub stars; contributors unknown; last commit 1d ago; license Apache-2.0.

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