144-java-data-oriented-programming

Use when you need to apply data-oriented programming best practices in Java : including separating...

What this skill does for you

Use when you need to apply data-oriented programming best practices in Java : including separating code (behavior) from data structures using records, designing immutable data with pure transformation functions, keeping data flat and denormalized with ID-based references, starting with generic data structures converting to specific types when needed, ensuring data integrity through pure validation functions, and creating flexible generic data access layers. This should trigger for requests such as Improve the code with Data-Oriented Programming; Apply Data-Oriented Programming; Refactor the code with Data-Oriented Programming; Model Java data with records and pure functions; Separate Java behavior from immutable data structures; Validate data integrity with pure Java functions. Part of Plinth Toolkit

Quoted from the skill description in the pinned source

Who made it

Publisherjabrena

Repositoryplinth

Installs322as of Sep 27, 2026

Use it with Edge

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Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 9569c35d7cf6b5679a41492f01a44a9e7a1dac33. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 9569c35d7cf6b5679a41492f01a44a9e7a1dac33. Raw findings: . Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 9569c35d7cf6b5679a41492f01a44a9e7a1dac33. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/jabrena/plinth
Pinned skill file: View source at revision
Revision: 9569c35d7cf6b5679a41492f01a44a9e7a1dac33
Package hash: sha256:973b0eee799401fde0a581efca7bd415f3410a8edee3da034d059d9280006866
Licence: Apache-2.0