Agent skill · AI & Agents

observability-pattern-detector

Automated pattern recognition in Claude Code telemetry. Use when detecting failures, slowness, anomalies, trends, inefficiencies, conversation patterns, or tool sequences.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill observability-pattern-detector-adaptationio-skrillz-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/analysis/observability-pattern-detector-adaptationio-skrillz-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Observability Pattern Detector Automated pattern recognition and anomaly detection in Claude Code telemetry data from enhanced hooks. ## Data Source Primary: `{job="claude_code_enhanced"}` in Loki ## Operations ### `detect-failures` Group similar failures and identify patterns. ```logql {job="claude_code_enhanced", event_type="tool_result", status="error"} | json ``` **Algorithm**: Group by error_type → Calculate frequency → Rank by impact. **Output**: Failure patterns with occurrences, affected tools, first/last seen, trend. ### `detect-slowness` Identify large response patterns (proxy for slowness). ```logql {job="claude_code_enhanced", event_type="tool_result"} | json | response_length > 100000 ``` **Algorithm**: Flag responses >100k chars → Group by tool → Identify patterns. **Output**: Slow operations with response sizes, affected tools. ### `detect-anomalies` Statistical anomaly detection in sessions. ```logql {job="claude_code_enhanced", event_type="session_end"} | json | turn_count > 50 ``` **Methods**: High turn count, long duration, many errors per session. **Output**: Anomalous sessions with metrics, likely cause. ### `detect-trends` Long-term trend analysis. ```logql

What's inside
Steps it walks through
  1. Data Source
  2. Operations
  3. detect-failures
  4. detect-slowness
  5. detect-anomalies
  6. detect-trends
  7. detect-waste
  8. detect-conversation-patterns
  9. detect-tool-sequences
  10. detect-subagent-patterns
  11. detect-context-issues
  12. detect-permission-patterns
  13. detect-repo-patterns
  14. Example Output
Ships with 1 file
  • metadata.json
More from claude-skill-registry
All skills →
About this skill
What does the observability-pattern-detector skill do?

Automated pattern recognition in Claude Code telemetry. Use when detecting failures, slowness, anomalies, trends, inefficiencies, conversation patterns, or tool sequences.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill observability-pattern-detector-adaptationio-skrillz-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going