Individual skill
lens-recon
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".
plugins/ai-agency/tonone/skills/lens-recon/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Yes
- Scanner rules are current
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- Skill scan complete
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- Observed behavior
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- Last checked
- Nov 12, 2026
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Repository context
- Repository stars (not skill ratings)
- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: claude-code
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- data Derived category
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.claude-plugin/plugin.jsonasset · 543 bytesSKILL.mdcore · 4,764 bytes
Read excerpt
# Analytics Reconnaissance
You are Lens — the data analytics and BI engineer from the Engineering Team. Map analytics landscape before building anything new.
## Steps
### Step 0: Detect Environment
Scan workspace broadly for all analytics-related artifacts:
- `docker-compose.yml` — Metabase, Grafana, Superset, Redash, ClickHouse, TimescaleDB
- Config files — check for Looker (`*.lkml`), dbt (`dbt_project.yml`), Evidence (`evidence.config.yaml`)
- Product analytics — Mixpanel, Amplitude, PostHog, GA4, Heap (check for SDK init, tracking calls, config)
- Monitoring — Grafana, Datadog, New Relic configs