shuffle-json-data
Lets your agent shuffle JSON data safely. It checks if the data follows the same format before mixing items to prevent errors.
What it does
This tool randomly reorders the items within a JSON data file. It ensures the data isn't corrupted and that the file's structure remains valid after shuffling.
When to use it
- ✓When you have a list of items and want to mix up their order.
- ✓To test how your application handles data in different sequences.
- ✓When preparing data for AI model training that requires input variety.
Example of what to ask your AI
“Shuffle the data in this JSON file for me.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
First, the tool checks if the JSON file is well-formed and if all items have the same 'labels' (properties). If everything is okay, it shuffles the order of the items and returns the reorganized file.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add github/awesome-copilot --skill shuffle-json-dataOr download just the file:
curl -L https://raw.githubusercontent.com/github/awesome-copilot/main/skills/shuffle-json-data/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Shuffle 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
FAQ
What happens if the JSON file has a strange structure?
If the file has items with different 'labels' or complex structures (like boxes within boxes), the tool will warn that it cannot shuffle safely and will ask for more specific instructions or a different file.
Do I need to provide a file?
Yes, the tool needs a JSON file to know what data to reorder. If you don't provide one, it will ask you to send it.
Can I choose which 'labels' to ignore or which are required?
Yes, you can provide instructions to ignore certain 'labels' or ensure others are present, even after shuffling.
Details
Original description by the author
Shuffle repetitive JSON objects safely by validating schema consistency before randomising entries.
repo: github/awesome-copilot
Popularity
- GitHub stars
- 40k
- Ranking position
- #5368
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
acquire-codebase-knowledge
Helps your agent understand and document an existing code project. It's useful for onboarding new people or getting an overview of the architecture.
github/awesome-copilot
acreadiness-assess
Enables your agent to assess a project's readiness for AI and generate a report. It's useful for understanding how well a project is prepared to use AI tools.
github/awesome-copilot
acreadiness-generate-instructions
Helps your agent create instructions for AI tools based on an assessment. It's useful for improving how AI interacts with code and closing identified gaps.
github/awesome-copilot
acreadiness-policy
Enables your agent to help define or apply policies for AI project assessment. It's useful for standardizing how projects are evaluated and ensuring compliance.
github/awesome-copilot
Similar skills
data-throughput-accelerator
Makes your agent speed up the movement of large data volumes. It finds bottlenecks and ensures data is transferred quickly and correctly.
affaan-m/ECC
inventory-demand-planning
Helps your agent predict product demand in stores. It optimizes stock and plans when to run promotions to sell more.
affaan-m/ECC
market-research
Helps your agent conduct market research and competitive analysis. Provides summaries with source attribution.
affaan-m/ECC