Skip to content
All Skills

Shuffle JSON Data

Shuffle repetitive JSON objects safely by validating schema consistency before randomising entries.

Data, AI & Research|v1|Updated 7/14/2026|GitHub source
MCP get_skill({ skillId: "shuffle-json-data-5dae8fff" })

Use this skill with your agent

Create a free account and connect via MCP

Get Started Free
# 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

1. Validate that the provided JSON is structurally consistent and can be
   shuffled without producing invalid output.
2. Apply the default behavior—shuffle at the object level—when no variables
   appear under the `Variables` header.
3. 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:

```json
[
  {
    "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:

```json
[
  {
    "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

1. **Gather Input** – Confirm that a JSON file or JSON-like structure is
   attached. If not, pause and request the data file.
2. **Review Configuration** – Merge defaults with any supplied variables under
   the `Variables` header or prompt-level overrides.
3. **Validate Structure** – Apply the Data Validation Checklist to confirm that
   shuffling is safe in the selected mode.
4. **Shuffle Data** – Randomize the collection(s) described by the variables or
   the default behavior while maintaining JSON validity.
5. **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

```text
[user]
> /shuffle-json-data
[agent]
> Please provide a JSON file to shuffle. Preferably as chat variable or attached context.
```

### Custom Configuration

```text
[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
#github-copilot#structured#data#extraction

Related Skills

More skills in Data, AI & Research

Ablation Planner

Use when main results pass result-to-claim (`claim_supported = yes` or `partial`) and ablation studies are needed for paper submission. A secondary Codex agent designs ablations from a reviewer's perspective; the local executor reviews feasibility and implements.

#broad-capability#wanshuiyin-arisMIT

Ablation Planner

Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.

#broad-capability#wanshuiyin-arisMIT

About

Provides information about the bitwize-music plugin, its version, and its creator. Use when the user asks about the plugin, its purpose, version, or capabilities.

#github#broad-capabilityCC0-1.0

Ab Test Analysis

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.

#work-life#productivityMIT

Academic Search

Search and analyze academic literature. Find papers, understand research methodologies, and synthesize academic findings for research projects.

#work-life#officeMIT

Adaptyv

How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.

#broad-capability#scienceMIT