Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

Construction data profiling v1.0.0

Use this resource to profile construction data before using it

New

  • 470 downloads
  • 122 likes
  • 211 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install construction-data-profiling

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 analyzes a dataset (types, distributions, missing values, outliers, referential integrity) and produces a profile report that can be exported to JSON. You get a clear view of data quality before migration or analysis.

Mostly picked by

Updated November 2, 2026

Card for the “Construction data profiling” skill

Details

Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

  • SKILL.md : profiling, reporting and JSON export in Python
  • instructions.md : comparison instructions against a previous profile

Good fit for

  • You receive an unknown export and must assess its quality
  • You are preparing an extract, transform and load process

Not for

    Tags

    • profiling
    • quality
    • data
    • etl

    About

    You say

    “Profile this estimate export and flag the columns with missing values.”

    Card for the “Construction data profiling” skill

    Skill published by datadrivenconstruction 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 profile construction data before using it
    3. Review and adjust the result

    Content preview

    Files

    • claw.json0.5 KB
    • instructions.md1.2 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md18.2 KB

    Origin and licence

    Listed unmodified

    Author
    datadrivenconstruction
    Source
    github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/tree/410ed1e71e4a5c6fd231afd0c8d1e586a9f546e8/2_DDC_Book/2.1-Data-Types-Classification/data-profiler
    Licence
    MIT

    Notice

    « data-profiler » (datadrivenconstruction, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.