necatiincekara/performance-debug
.claude/skills/performance-debug/SKILL.md
Yavaslik, scheduler hatasi, dead quantum signal veya hybrid egitim cokusu gibi repo-ozel performans sorunlarini analiz et.
development
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add necatiincekara/Quanvolutional-Neural-Network performance-debugInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: Apr 16, 2026, 3:34 PM37.6s1 file scanned
SKILL.md
- name:
- performance-debug
- description:
- Yavaslik, scheduler hatasi, dead quantum signal veya hybrid egitim cokusu gibi repo-ozel performans sorunlarini analiz et.
- disable-model-invocation:
- true
Performance Debug
Bu skill gradient-check'ten daha genis sorunlar icin kullanilir.
Adimlar
- Aktif training path'i tespit et.
- Sorunu ayir:
- sadece ilk epoch yavas
- tum egitim yavas
- loss dusmuyor
- accuracy cokuyor
- NaN / dtype sorunu var
- Repo-ozel sebepleri kontrol et:
- fazla quantum patch sayisi
q_out.std()cok kucuk- scheduler yanlis yerde step ediliyor
- AMP / float16 quantum sinirinda sorun cikartiyor
- trainable vs non-trainable yol karistirilmis
- Cikti olarak ver:
- en olasi sebep
- minimum duzeltme
- rerun gerekip gerekmedigi
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