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Database inventory and health review v1.0.0

Use this resource to inventory an unfamiliar database

New

  • 454 downloads
  • 134 likes
  • 180 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install database-inventory-review

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent detects the project's data components, analyses the schema and migration history, assesses operational health and query patterns, then presents a schema map and risk flags.

Mostly picked by

Updated November 2, 2026

Card for the “Database inventory and health review” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: steps covering schema, migrations and operational health
  • SKILL.md: schema map and list of risk flags

Good fit for

  • You are taking over an app with a database you don't know
  • You want a health check before scaling up

Not for

    Tags

    • database
    • schema
    • migrations
    • audit

    About

    You say

    “Inventory our PostgreSQL database and flag risks before the migration.”

    Card for the “Database inventory and health review” skill

    Skill published by tonone-ai <hello@tonone.ai> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to inventory an unfamiliar database
    3. Review and adjust the result

    Content preview

    Files

    • .claude-plugin/plugin.json0.5 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md3.7 KB

    Origin and licence

    Listed unmodified

    Author
    tonone-ai <hello@tonone.ai>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/ai-agency/tonone/skills/flux-recon
    Licence
    MIT

    Notice

    « flux-recon » (tonone-ai <hello@tonone.ai>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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