dashboard

Visualize agent efficiency metrics from parallel run logs as markdown dashboards.

1|Updated Aug 16, 2025
One-click install
npx skills add https://github.com/ReefBytes/Manifest --skill dashboard-reefbytes
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dashboard
Source: https://github.com/ReefBytes/Manifest/tree/main/configs/claude/skills/dashboard
Command: npx skills add https://github.com/ReefBytes/Manifest --skill dashboard-reefbytes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Visualize and summarize agent efficiency metrics from parallel runs.

Core Features & Use Cases

  • Real-time dashboards of task completion, consensus scores, and model usage
  • Log ingestion from ~/.claude/.agent_outputs/ and historical trend analysis
  • Use Case: Quickly identify bottlenecks in agent collaboration and guide improvements.

Quick Start

Generate the latest dashboard from agent output logs using the dashboard skill.

Frequently Asked Questions about dashboard

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I visualize agent efficiency metrics from parallel logs?

You can visualize agent efficiency metrics by parsing logs stored in ~/.claude/.agent_outputs/. The tool aggregates task completion rates, consensus scores, and model usage to generate readable markdown dashboards for cross-agent performance reviews.

What is cross-verification in agent output log parsing?

Cross-verification in agent log parsing is the process of comparing consensus scores and task completion data across parallel runs. It allows you to identify bottlenecks in agent collaboration and guide improvements using historical trend analysis.

How do I generate a markdown dashboard from agent output logs?

To generate a markdown dashboard, the skill ingests logs from the ~/.claude/.agent_outputs/ directory. It uses error-tolerant parsing and robust data aggregation to produce real-time summaries of model usage and trends.

Can I analyze historical trends in agent collaboration performance?

Yes, you can analyze historical trends by reading stored logs under ~/.claude/.agent_outputs/. The skill provides historical trend analysis to quickly identify bottlenecks and visualize task completion metrics over time.

Does the dashboard skill work with malformed agent log files?

Yes, the dashboard skill handles malformed agent log files through error-tolerant parsing. This robust data aggregation ensures that incomplete or corrupted log entries do not break the generation of your markdown dashboards.

What is the best way to identify bottlenecks in agent collaboration?

The best way to identify bottlenecks is to generate a dashboard summarizing consensus scores and task completion from parallel runs. This provides a visual overview of agent efficiency at a glance to guide targeted improvements.