⚠️Install with caution. This skill has very few installs. Always review the source and verify it on clawhub.ai before installing. Community-built skills run with agent permissions — only install ones you trust.

🧠 LLMs & Model APIs

Backboard.iov1.0.2

Name: Backboard.io
Author: chrisk60331

backboard

chrisk60331

Integrate Backboard.io for assistants, threads, memories, and document RAG via a local backend on http://localhost:5100.

latest

Download Package View on ClawHub

Installs (all time)

Installs (current)

Downloads

3.1K

Stars

CreatedFeb 4, 2026

UpdatedMay 18, 2026

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install chrisk60331/backboard

Skill Package14 files

📋SKILL.mdmarkdown

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Quality Score

B63/100

Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation5/35

· No tracked installs (may still have manual users)
· 1817 downloads (moderate demand)
· 3 stars

Documentation25/25

· SKILL.md present
· Detailed documentation (≥3000 chars)
· Contains tool definitions
· Contains usage examples or trigger description
· Detailed summary

Package Completeness8/15

💡

Usage Guide

Generated Mar 21, 2026

Developers integrating AI agentsBusinesses automating customer interactionsbeginner

💡 Application Scenarios

Customer Support AutomationE-commerce

Deploy a Backboard assistant to handle customer inquiries via threads, using stored memories for personalized responses and document RAG to reference product manuals. This reduces response times and improves consistency across support channels.

Personalized Learning AssistantEdTech

Create an assistant for educational platforms that manages threads for each student, stores learning preferences as memories, and uploads course materials as documents for RAG. This enables tailored tutoring and resource recommendations based on individual progress.

Healthcare Patient TriageHealthcare

Use Backboard to build an assistant that handles patient intake via threads, stores medical histories as memories, and references clinical guidelines uploaded as documents. This streamlines initial assessments while ensuring compliance and accuracy in healthcare settings.

Legal Document AnalysisLegal Services

Implement an assistant for law firms that creates threads for case discussions, stores client details as memories, and uploads legal documents for RAG to retrieve relevant precedents. This enhances research efficiency and client communication in legal workflows.

Internal IT HelpdeskTechnology

Set up an assistant to manage IT support tickets as threads, store common issues and solutions as memories, and reference technical manuals uploaded as documents. This automates troubleshooting and reduces resolution times for internal staff.

💼 Business Models

SaaS SubscriptionMonthly or annual subscription fees

Offer Backboard integration as a cloud-based service with tiered pricing based on assistant count, memory storage, and document processing limits. This generates recurring revenue from businesses needing scalable AI agent management without local setup overhead.

Consulting and CustomizationOne-time project fees and retainer agreements

Provide consulting services to customize Backboard assistants for specific industries, including tailored memory schemas, document RAG setups, and integration with existing systems. Revenue comes from project-based fees and ongoing support contracts.

White-Label SolutionLicensing fees and revenue-sharing partnerships

License Backboard as a white-label platform for other companies to rebrand and resell as their own AI agent tool. This includes API access, customization options, and technical support, generating revenue through licensing fees and partnership deals.

💬 Integration Tip

Ensure the local Flask backend is running on http://localhost:5100 before using any tools, and test connectivity with a simple list operation like backboard_list_assistants to verify setup.