
Shuffle JSON Data
OfficialFreeSafely randomize JSON objects while preserving integrity.
Free · Opens the source repo
What Shuffle JSON Data does
Shuffle JSON Data is a specialized tool designed for data engineers and developers who need to randomize JSON objects without compromising the integrity of the data. This skill ensures that the input JSON is validated for structural consistency before any shuffling occurs, preventing potential errors or data corruption. By adhering to strict validation protocols, users can shuffle repetitive JSON entries confidently, knowing that the output will remain valid and well-formed.
The process begins with a thorough validation of the JSON structure. The skill checks that all objects share identical property names and that there are no nested objects when operating in the default state. If any inconsistencies are detected, the skill halts and reports the issue, ensuring that only valid data is processed. This careful approach helps maintain data quality while allowing for flexibility through variable overrides that can specify which properties to ignore or require during the shuffling process.
Shuffle JSON Data is particularly useful in scenarios where large datasets need to be randomized for testing, analysis, or presentation purposes. By providing a reliable method for shuffling JSON, this skill streamlines workflows for data engineers and developers who require consistent and accurate results. The ability to customize the shuffling behavior through variable overrides further enhances its utility, making it adaptable to various data structures and requirements.
Overall, Shuffle JSON Data is an essential tool for anyone working with JSON data who needs to ensure that their operations do not lead to invalid outputs. It combines data engineering best practices with a robust validation framework, making it a valuable addition to any developer's toolkit.
When to use it
Use this skill when you need to shuffle JSON data safely, ensuring that the output remains valid and consistent.
When not to use it
Avoid this skill for shuffling deeply nested JSON structures unless you provide specific overrides for handling them.
What you can build with it
Shuffling Test Data
Use this skill to randomize test datasets for applications, ensuring diverse inputs without altering data integrity.
Preparing Data for Analysis
Shuffle JSON data to create varied samples for analysis, maintaining consistent property structures across entries.
Data Presentation
Randomize JSON objects for presentations or reports, ensuring that the data remains valid and well-structured.
How to install Shuffle JSON Data
View source1. Install with the skills CLI
npx skills add github/awesome-copilot/shuffle-json-data --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by githubShuffle JSON Data
Overview
Shuffle repetitive JSON objects without corrupting the data or breaking JSON syntax. Always validate the input file first. If a request arrives without a data file, pause and ask for one. Only proceed after confirming the JSON can be shuffled safely.
Role
You are a data engineer who understands how to randomise or reorder JSON data without sacrificing integrity. Combine data-engineering best practices with mathematical knowledge of randomizing data to protect data quality.
- Confirm that every object shares the same property names when the default behavior targets each object.
- Reject or escalate when the structure prevents a safe shuffle (for example, nested objects while operating in the default state).
- Shuffle data only after validation succeeds or after reading explicit variable overrides.
Objectives
- Validate that the provided JSON is structurally consistent and can be shuffled without producing invalid output.
- Apply the default behavior—shuffle at the object level—when no variables
appear under the
Variablesheader. - Honour variable overrides that adjust which collections are shuffled, which properties are required, or which properties must be ignored.
Data Validation Checklist
Before shuffling:
- Ensure every object shares an identical set of property names when the default state is in effect.
- Confirm there are no nested objects in the default state.
- Verify that the JSON file itself is syntactically valid and well formed.
- If any check fails, stop and report the inconsistency instead of modifying the data.
Acceptable JSON
When the default behavior is active, acceptable JSON resembles the following pattern:
[
{
"VALID_PROPERTY_NAME-a": "value",
"VALID_PROPERTY_NAME-b": "value"
},
{
"VALID_PROPERTY_NAME-a": "value",
"VALID_PROPERTY_NAME-b": "value"
}
]
Unacceptable JSON (Default State)
If the default behavior is active, reject files that contain nested objects or inconsistent property names. For example:
[
{
"VALID_PROPERTY_NAME-a": {
"VALID_PROPERTY_NAME-a": "value",
"VALID_PROPERTY_NAME-b": "value"
},
"VALID_PROPERTY_NAME-b": "value"
},
{
"VALID_PROPERTY_NAME-a": "value",
"VALID_PROPERTY_NAME-b": "value",
"VALID_PROPERTY_NAME-c": "value"
}
]
If variable overrides clearly explain how to handle nesting or differing properties, follow those instructions; otherwise do not attempt to shuffle the data.
Workflow
- Gather Input – Confirm that a JSON file or JSON-like structure is attached. If not, pause and request the data file.
- Review Configuration – Merge defaults with any supplied variables under
the
Variablesheader or prompt-level overrides. - Validate Structure – Apply the Data Validation Checklist to confirm that shuffling is safe in the selected mode.
- Shuffle Data – Randomize the collection(s) described by the variables or the default behavior while maintaining JSON validity.
- Return Results – Output the shuffled data, preserving the original encoding and formatting conventions.
Requirements for Shuffling Data
- Each request must provide a JSON file or a compatible JSON structure.
- If the data cannot remain valid after a shuffle, stop and report the inconsistency.
- Observe the default state when no overrides are supplied.
Examples
Below are two sample interactions demonstrating an error case and a successful configuration.
Missing File
[user]
> /shuffle-json-data
[agent]
> Please provide a JSON file to shuffle. Preferably as chat variable or attached context.
Custom Configuration
[user]
> /shuffle-json-data #file:funFacts.json ignoreProperties = "year", "category"; requiredProperties = "fact"
Default State
Unless variables in this prompt or in a request override the defaults, treat the input as follows:
- fileName = REQUIRED
- ignoreProperties = none
- requiredProperties = first set of properties from the first object
- nesting = false
Variables
When provided, the following variables override the default state. Interpret closely related names sensibly so that the task can still succeed.
- ignoreProperties
- requiredProperties
- nesting
Frequently asked questions about Shuffle JSON Data
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