github/awesome-copilot/skills/shuffle-json-data/SKILL.md
shuffle-json-data
Shuffle repetitive JSON objects safely by validating schema consistency before randomising entries.
- Source repository stars
- 37,126
- Declared platforms
- 0
- Static risk flags
- 0
- Last source update
- 2026-07-28
- Source checked
- 2026-07-28
Decision brief
What it does—and where it fits
Shuffle repetitive JSON objects safely by validating schema consistency before randomising entries.
Not for
- Tasks that require unconfirmed production actions or broad system permissions.
- Environments where the pinned source and install steps cannot be inspected.
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/github/awesome-copilot --skill "skills/shuffle-json-data"Inspect the Agent Skill "shuffle-json-data" from https://github.com/github/awesome-copilot/blob/9933dcad5be5caeb288cebcd370eeeb2fc2f1685/skills/shuffle-json-data/SKILL.md at commit 9933dcad5be5caeb288cebcd370eeeb2fc2f1685. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
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 Da…
Gather Input – Confirm that a JSON file or JSON-like structure isReview Configuration – Merge defaults with any supplied variables underValidate Structure – Apply the Data Validation Checklist to confirm that - 02
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 defaultReject or escalate when the structure prevents a safe shuffle (for example,Shuffle data only after validation succeeds or after reading explicit - 03
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 colle…
Validate that the provided JSON is structurally consistent and can beApply the default behavior—shuffle at the object level—when no variablesHonour variable overrides that adjust which collections are shuffled, which - 04
Data Validation Checklist
Ensure every object shares an identical set of property names when the
Ensure every object shares an identical set of property names when theConfirm there are no nested objects in the default state.Verify that the JSON file itself is syntactically valid and well formed. - 05
Acceptable JSON
When the default behavior is active, acceptable JSON resembles the following pattern:
When the default behavior is active, acceptable JSON resembles the following pattern:
Permission review
Static risk signals and limitations
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
Why each signal appears
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 77/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 37,126 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- github/awesome-copilot
- Skill path
- skills/shuffle-json-data/SKILL.md
- Commit
- 9933dcad5be5caeb288cebcd370eeeb2fc2f1685
- License
- MIT
- Collected
- 2026-07-28
- Default branch
- main
View the original SKILL.md
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
Alternatives
Compare before choosing
event4u-app/agent-config
design-review
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
K-Dense-AI/scientific-agent-skills
dask
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
K-Dense-AI/scientific-agent-skills
medchem
Medicinal chemistry filters for compound triage. Apply drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.
K-Dense-AI/scientific-agent-skills
neurokit2
Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.