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Data workflowsConcept

JSON data cleanup

Normalize messy records into a consistent, documented structure.

By Reusable examples Marketplace preview

The outcome

Validated records, explicit handling of missing values and a report of rejected input.

Intended agents

CodexClaude Code

Compatibility has not been verified.

Execution

Proposed agent workflow

See the transformation

Illustrative normalization

Example input

[
  {
    "id": "  sample-1  ",
    "count": "3"
  }
]

Example output

[{"id":"sample-1","count":3}]
Apply only the conversions allowed by the agreed schema.

An illustrative workflow. This concept does not include an executable package.

Before you use it

Requirements

  • A synthetic input sample
  • An agreed output schema

Permissions

  • Read the data files you select
  • Save cleaned records to an approved destination

Proposed files

  • SKILL.mdProposed validation and normalization steps
  • examples/records.jsonProposed sample records

These files describe the intended package; downloads are not available.

Testing & limitations

No recorded agent compatibility results.

  • This is a listing concept; no downloadable package is available.
  • Never infer missing values or silently discard invalid rows.

Usage & support

Usage rights
Usage rights have not been chosen for this concept.
Updates
No update commitment has been specified.
Support
No support commitment has been specified.
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