ai-analyst-lab/.claude/skills/data-inspect
.claude/skills/data-inspect/SKILL.md
# Skill: Data Inspect ## Purpose Show the active dataset's schema — tables, columns, row counts, and relationships. Optionally drill into a specific table. ## When to Use Invoke as `/data` to see the full schema summary, or `/data {table}` to see column details for a specific table. ## Instructions ### Mode 1: `/data` (full schema overview) 1. Read `.knowledge/active.yaml` to get the active dataset 2. Read `.knowledge/datasets/{active}/schema.md` 3. Display a condensed summary: ``` Active
$ install --global
skillsauthnpx skillsauth add ai-analyst-lab/ai-analyst .claude/skills/data-inspectInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
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Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
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Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 23, 2026, 1:35 AM1.9s1 file scanned
SKILL.md
Skill: Data Inspect
Purpose
Show the active dataset's schema — tables, columns, row counts, and relationships. Optionally drill into a specific table.
When to Use
Invoke as /data to see the full schema summary, or /data {table} to see column details for a specific table.
Instructions
Mode 1: /data (full schema overview)
- Read
.knowledge/active.yamlto get the active dataset - Read
.knowledge/datasets/{active}/schema.md - Display a condensed summary:
Active Dataset: {display_name}
Connection: {type} ({database}.{schema})
Tables:
users ~50,000 rows 8 columns user_id (PK)
products 500 rows 7 columns product_id (PK)
events ~6.5M rows 9 columns event_id (PK)
sessions ~1.4M rows 8 columns session_id (PK)
orders ~30-50K rows 6 columns order_id (PK)
order_items — rows 4 columns order_id + product_id
memberships — rows 4 columns user_id
support_tickets ~20K rows 7 columns ticket_id (PK)
nps_responses ~8K rows 5 columns user_id
experiment_assignments ~20K 4 columns user_id + experiment_id
promotions 5 rows 7 columns promo_id (PK)
experiments 2 rows 8 columns experiment_id (PK)
calendar 366 rows 4 columns date (PK)
Use `/data {table}` for column details.
Mode 2: /data {table} (table detail)
- Read
.knowledge/datasets/{active}/schema.md - Find the section for the requested table
- Display the full column listing with types and descriptions
- Show key relationships (FKs to/from this table)
Mode 3: No active dataset
If .knowledge/active.yaml has no active_dataset or the brain doesn't exist:
- Display: "No active dataset. Run
/connect-datato connect one, or/datasetsto see available options."
Anti-Patterns
- Never query the database just to show schema — read from the cached schema.md file for speed
- Never show the full schema.md raw — always format into the condensed table view
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