Randomize JSON object arrays while validating schema consistency and preventing data corruption.
Works with
Validates that all objects share identical property names and structure before shuffling, rejecting files with inconsistencies or nested objects in default mode
Requires a JSON file as input; pauses and requests data if none is provided
Supports variable overrides to customize which properties are ignored, which are required, or whether nesting is allowed
Returns shuffled data with ori
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionshuffle-json-dataExecute the skills CLI command in your project's root directory to begin installation:
Fetches shuffle-json-data from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate shuffle-json-data. Access via /shuffle-json-data in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
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.
Variables header.Before shuffling:
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"
}
]
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.
Variables header or prompt-level overrides.Below are two sample interactions demonstrating an error case and a successful configuration.
[user]
> /shuffle-json-data
[agent]
> Please provide a JSON file to shuffle. Preferably as chat variable or attached context.
[user]
> /shuffle-json-data #file:funFacts.json ignoreProperties = "year", "category"; requiredProperties = "fact"
Unless variables in this prompt or in a request override the defaults, treat the input as follows:
When provided, the following variables override the default state. Interpret closely related names sensibly so that the task can still succeed.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
github/awesome-copilot
diffusionstudio/lottie
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
shuffle-json-data fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added shuffle-json-data from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
shuffle-json-data is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
shuffle-json-data has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: shuffle-json-data is the kind of skill you can hand to a new teammate without a long onboarding doc.
shuffle-json-data fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
shuffle-json-data is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
shuffle-json-data has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: shuffle-json-data is focused, and the summary matches what you get after install.
shuffle-json-data is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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