What search technologies does Clawboard use?

Clawboard utilizes a robust search stack including dense vectors via Qdrant, BM25 lexical matching, and Reciprocal Rank Fusion (RRF) for highly accurate retrieval.

What is the primary purpose of the Clawboard skill?

The Clawboard skill is designed to install, configure, and operate the Clawboard suite, which provides logging, search, and monitoring capabilities for the OpenClaw agent framework.

Can I use this skill to back up my agent's memory?

Yes, it includes specialized helpers for local memory setup and curated memory cloud backups to private GitHub repositories.

How does the skill handle security and authentication?

The skill automates the generation and configuration of a CLAWBOARD_TOKEN, which is required for all write operations and non-localhost read access to ensure data privacy.

Does Clawboard require Docker to run?

Yes, Clawboard uses Docker Compose to manage its microservices, including the Next.js frontend, FastAPI backend, and Qdrant vector database.

Clawboard Dashboard & Monitoring

Name: Clawboard Dashboard & Monitoring
Author: dvcrn

bydvcrn

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Analytics & Monitoring

Installs and manages Clawboard, a comprehensive observability, logging, and search dashboard for OpenClaw environments.

Clawboard provides a centralized command center for OpenClaw, enabling developers to monitor agentic workflows through a specialized Next.js interface and FastAPI backend. This skill automates the entire lifecycle of Clawboard—including Docker-based deployment, token configuration, and logger plugin integration—while offering advanced features like vector-based search using Qdrant and automated memory backups. It is an essential tool for developers needing deep visibility into their AI agent's logs, task classifications, and long-term retrieval performance.

Key Features

013 GitHub stars

02Automated local memory management and curated data backups to private GitHub repos.

03Advanced vector search stack featuring Qdrant, BM25, and Reciprocal Rank Fusion.

04Deterministic environment detection for seamless switching between symlink and copy modes.

05Integrated logger plugin setup for real-time OpenClaw firehose monitoring.

06End-to-end automated installation of Clawboard Web, API, and Classifier services.

Use Cases

01Monitoring and debugging complex OpenClaw agent interactions via a visual dashboard.

02Automating the deployment and configuration of AI observability infrastructure.

03Implementing persistent, searchable memory across multiple agent sessions.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace clawboard

For use in Claude.ai and ChatGPT

Key Features

013 GitHub stars

02Automated local memory management and curated data backups to private GitHub repos.

03Advanced vector search stack featuring Qdrant, BM25, and Reciprocal Rank Fusion.

04Deterministic environment detection for seamless switching between symlink and copy modes.

05Integrated logger plugin setup for real-time OpenClaw firehose monitoring.

06End-to-end automated installation of Clawboard Web, API, and Classifier services.

Use Cases

01Monitoring and debugging complex OpenClaw agent interactions via a visual dashboard.

02Automating the deployment and configuration of AI observability infrastructure.

03Implementing persistent, searchable memory across multiple agent sessions.