Dummy Dataset
Skill AktivGenerate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.
To provide users with a tool to easily create realistic and customizable dummy datasets for testing, development, and demonstration purposes.
Funktionen
- Generate dummy datasets
- Customize columns, constraints, and row count
- Output in CSV, JSON, SQL, or Python script formats
- Create realistic and business-appropriate values
Anwendungsfälle
- Creating test data for software applications
- Generating mock datasets for development environments
- Populating databases with sample data
- Building realistic data for demos and presentations
Nicht-Ziele
- Generating production-ready data
- Performing complex data transformations beyond dataset creation
- Executing generated scripts automatically without user review
Trust
- warning:Issues AttentionIn the last 90 days, 8 issues were opened and 0 were closed, indicating slow or no maintainer response to issues.
Code Execution
- info:ValidationThe skill generates data and scripts, but detailed input validation within the generated script is not explicitly documented as using a schema library.
- info:Error HandlingThe provided Python template includes basic error handling for file saving, but comprehensive error categorization and reporting for all potential failure modes are not explicitly detailed.
- info:LoggingThe generated Python script includes basic logging for file generation completion, but a comprehensive audit log for the skill's execution itself is not present.
Errors
- info:Actionable error messagesThe generated Python script includes basic error handling for file operations, but comprehensive actionable error messages for all potential failure modes of the skill itself are not explicitly documented.
Execution
- info:Pinned dependenciesThe skill generates Python scripts that would use standard libraries. The SKILL.md does not explicitly declare interpreter versions or side-effects for these generated scripts.
Practical Utility
- info:Edge casesThe SKILL.md mentions constraints like rating distributions and category-specific conditions, but comprehensive documentation of failure modes and recovery steps is not explicitly detailed.
Portability
- info:Stack assumptionsThe skill specifies Python for script generation but does not explicitly declare interpreter versions or specific side-effect headers for the generated scripts.
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add phuryn/pm-skills/plugin install pm-execution@pm-skillsQualitätspunktzahl
Vertrauenssignale
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