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mickzijdelmickzijdel/airtable-utils/skills/airtable-standards-check/SKILL.md

airtable-standards-check

Skill0 starsChanged 8 days agoMITView on GitHub

Check an Airtable schema JSON file against the BlueDot Impact Airtable Standards. Use when the user wants to validate their Airtable base structure, find naming convention violations, or produce a standards compliance report.

The file

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2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

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    This author's own choices. Worth a look.

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  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    No external dependencies — the script uses the Python standard library only.

    line 14
  2. Very specific:

    Run the checker: airtable-check-standards {base_id}_{name}_{timestamp}_schema.json

    line 61

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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Files
SKILL.md

Airtable Standards Check Skill

Purpose

This skill covers running airtable-check-standards to validate a schema JSON file (produced by airtable-export-schema) against the BlueDot Impact Airtable Standards. It outputs a Markdown report grouped by table, listing errors and warnings for each rule violation.

Prerequisites

No external dependencies — the script uses the Python standard library only. No API token or network access needed.

Running the Checker

# Check a schema and print report to stdout
airtable-check-standards schema.json

# Suppress warnings, show errors only
airtable-check-standards schema.json --errors-only

# Write the report to a file
airtable-check-standards schema.json --output report.md

# Both flags combined
airtable-check-standards schema.json --errors-only --output report.md

The script exits with code 0 if no errors are found, or 1 if any errors are found — making it suitable for CI pipelines.

Rules

The following rules are checked automatically:

RuleSeverityCheck
table-sentence-caseerrorTable name starts with uppercase
table-singularwarningTable name isn't plural (heuristic)
table-description-keyswarningDescription has "Description:" and "Last reviewed on:"
table-missing-all-viewwarningTable has an "All" view
field-sentence-caseerrorField name (after [prefix] strip) starts with uppercase
field-boolean-is-prefixwarningCheckbox fields start with "Is "
field-date-on-suffixwarningDate fields end in " on"
field-datetime-at-suffixwarningDateTime fields end in " at"
field-repeats-table-namewarningField name doesn't repeat table name words

Rules Requiring Manual Review

The following standards cannot be checked automatically and require human judgment:

  • Whether table/field descriptions are meaningful (not just present)
  • Whether tables or bases should be merged to reduce duplication
  • Automation naming conventions

Workflow

  1. Export the schema: airtable-export-schema --token ... --base ...
  2. Run the checker: airtable-check-standards {base_id}_{name}_{timestamp}_schema.json
  3. Review the report and fix violations in Airtable
  4. Re-export and re-check until the report is clean

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