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Skill evidence / design-patterns-implementation
Skill profile

design-patterns-implementation

Apply appropriate design patterns (Singleton.

What this skill does for you

Apply appropriate design patterns (Singleton, Factory, Observer, Strategy, etc.) to solve architectural problems. Use when refactoring code architecture, implementing extensible systems, or following SOLID principles.

Quoted from the skill description in the pinned source

Who made it

Publisheraj-geddes
Installs594as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the design-patterns-implementation skill from aj-geddes/useful-ai-prompts.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

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.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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

Scanner scope, raw findings and mirrored provider records

Socket (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.

Snyk (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.

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: 3f5182cfd739fc113f4af5244a1cf342ad7f7911. 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: 3f5182cfd739fc113f4af5244a1cf342ad7f7911. Raw findings: 1. 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: 3f5182cfd739fc113f4af5244a1cf342ad7f7911. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/aj-geddes/useful-ai-prompts
Pinned skill file
View source at revision
Revision
3f5182cfd739fc113f4af5244a1cf342ad7f7911
Package hash
sha256:f2b023ede6c0fddf805ec9cc47379b1e7d541e188b8ed8ca33679d0dab128858
Licence
MIT