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Pattern Detection

akillness/oh-my-skills

Route this when you need to find repeated shapes or irregularities across code, logs, events, or metrics before jumping into diagnosis or fixes. It forces you to normalize requests into one of four detection packets (text prefilter, structural code rule, log event pattern, or metric anomaly), then surfaces grouped candidate families with confidence notes and false positive risks instead of dumping raw hits. The skill aggressively routes out to log analysis, data analysis, or codebase search once the real work shifts from detection to root cause, explanation, or remediation. Useful when you're staring at suspicious spikes, noisy event families, code smell clusters, or outlier cohorts and need a reusable scan that tells you what to inspect first.

skills.sh installs
167
GitHub stars
22
last updated
Jun 3, 2026
View on GitHub

Install

$ npx -y skills add akillness/oh-my-skills --skill pattern-detection --agent claude-code

Installs into .claude/skills of the current project.

Files

Pattern Detection

When to use this skill

  • The main job is finding repeated shapes or suspicious irregularities, not fully explaining or fixing them yet.
  • The user needs a reusable scan, shortlist, grouped candidate set, or anomaly triage across code, logs/events, telemetry, or metric tables.
  • The prompt is really asking "what patterns keep showing up?", "what looks off?", or "what should we inspect first?" even if it never says "pattern detection".
  • The user needs confidence notes, false-positive risks, or the fastest validation step, not a raw wall of hits.
  • The request mentions patterns, anomalies, outliers, repeated failures, suspicious spikes, odd cohorts, rule packs, signatures, code smells, anti-patterns, fraud signals, or recurring issue families.
SKILL.md on GitHub

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Details

Repository
github.com/akillness/oh-my-skills
First seen
Jun 3, 2026

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