lens-recon

Scan workspace analytics artifacts and generate a structured coverage map.

69|8|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/tonone-ai/tonone --skill lens-recon
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lens-recon
Source: https://github.com/tonone-ai/tonone/tree/main/team/lens/skills/lens-recon
Command: npx skills add https://github.com/tonone-ai/tonone --skill lens-recon

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analytics reconnaissance for takeover — find all analytics tools, inventory what's tracked and dashboarded, assess data freshness and metric definitions, and present a coverage map. Use when asked "what analytics exist", "BI assessment", or "what do we track".

Core Features & Use Cases

  • Inventory analytics artifacts across the workspace, including tools, events, and dashboards.
  • Assess data freshness and metric definitions to identify coverage gaps.
  • Generate a unified coverage map to inform analytics strategy and next steps.

Quick Start

Run Lens Recon to inventory analytics artifacts and generate a coverage map for your workspace.

Frequently Asked Questions about lens-recon

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

FAQPage Schema
How do I inventory all analytics tools and dashboards across a workspace?

To inventory analytics tools and dashboards across a workspace, run a reconnaissance scan to detect artifacts like Looker LookML, dbt_project.yml, and docker-compose.yml. This generates a structured coverage map detailing tracked events, BI tools, and dashboard locations.

What is analytics reconnaissance and when do I need it?

Analytics reconnaissance is the process of mapping existing analytics tools, tracked events, and data quality metrics. You need it during BI assessments, analytics due diligence, or when planning new data initiatives to understand current coverage and identify gaps.

How do I assess data freshness and metric definitions for a BI assessment?

Assess data freshness and metric definitions by scanning the workspace for analytics artifacts and configuration files. This process evaluates existing freshness checks and metric definitions, outputting a structured map that highlights coverage gaps and data quality issues.

Can I detect dbt and Looker configurations when planning new data initiatives?

Yes, you can detect dbt and Looker configurations by scanning for specific artifacts like dbt_project.yml and Looker LookML files. This identifies existing tracked events and dashboards, generating a unified coverage map to inform your analytics strategy.

What is the best way to find out what analytics events we currently track?

The best way to find out what analytics events you track is to perform a workspace reconnaissance scan. It identifies all tracked events, dashboards, and BI tools, then outputs a structured coverage map showing exactly what is monitored across your data landscape.