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Agent Skills with tag: logs

64 skills match this tag. Use tags to discover related Agent Skills and explore similar workflows.

debug-specialist

디버깅, 디버그, 버그, 에러, 오류, 버그 수정 - Specialized in identifying root causes of bugs, analyzing error logs, and providing robust fixes. Use this when the user reports an error, unexpected behavior, or needs performance troubleshooting.

error-handlingbugfixroot-cause-analysislogs
aimskr
aimskr
0

fetching-buildkite-failures

Use when CI fails on Buildkite and you need to diagnose and fix failures - fetches build results for current branch, extracts errors from logs, and helps fix them

buildkiteci-failurelogsdebugging
mikeastock
mikeastock
0

debugging-claude-code

Troubleshooting guide for Claude Code issues. Use when Claude behaves unexpectedly, tools fail, sessions hang, or you need to diagnose problems. Covers diagnostics, common issues, and recovery procedures.

debuggingdiagnosticserror-handlingrecovery-procedures
hgeldenhuys
hgeldenhuys
1

opentelemetry

Implement OpenTelemetry (OTEL) observability - Collector configuration, Kubernetes deployment, traces/metrics/logs pipelines, instrumentation, and troubleshooting. Use when working with OTEL Collector, telemetry pipelines, observability infrastructure, or Kubernetes monitoring.

opentelemetrytracingmetricslogs
julianobarbosa
julianobarbosa
0

logs

View Vercel deployment logs. Use when the user says "show logs", "check logs", "vercel logs", or "what went wrong with the deployment".

logsverceldeploymentmonitoring
vercel
vercel
2

aggregating-event-datasets

Aggregate and summarize event datasets (logs) using OPAL statsby. Use when you need to count, sum, or calculate statistics across log events. Covers make_col for derived columns, statsby for aggregation, group_by for grouping, aggregation functions (count, sum, avg, percentile), and topk for top N results. Returns single summary row per group across entire time range. For time-series trends, see time-series-analysis skill.

aggregation-pipelinelogsaggregation-functionsgroup-by
rustomax
rustomax
11

filtering-event-datasets

Filter and search event datasets (logs) using OPAL. Use when you need to find specific log events by text search, regex patterns, or field values. Covers contains(), tilda operator ~, field comparisons, boolean logic, and limit for sampling results. Does NOT cover aggregation (see aggregating-event-datasets skill).

logsevent-trackingfiltersregex
rustomax
rustomax
11

analyzing-text-patterns

Extract and analyze recurring patterns from log messages, span names, and event names using punctuation-based template discovery. Use when you need to understand log diversity, identify common message structures, detect unusual formats, or prepare for log parser development. Works by removing variable content and preserving structural markers.

logspattern-detectionpunctuationtemplate-discovery
rustomax
rustomax
11

field-extraction-parsing

Extract structured fields from unstructured log data using OPAL parsing functions. Covers extract_regex() for pattern matching with type casting, split() for delimited data, parse_json() for JSON logs, and JSONPath for navigating parsed structures. Use when you need to convert raw log text into queryable fields for analysis, filtering, or aggregation.

logsparsingdata-preprocessingjson
rustomax
rustomax
11

time-series-analysis

Analyze event datasets (logs) and intervals over time using OPAL timechart. Use when you need to visualize trends, track metrics over time, or create time-series charts. Covers timechart for temporal binning, bin duration options (1h, 5m, 1d), options(bins:N) for controlling bin count, and understanding temporal output columns (_c_valid_from, _c_valid_to, _c_bucket). Returns multiple rows per group for time-series visualization. For single summaries, see aggregating-event-datasets skill.

time-series-analysislogsdatetimetimechart
rustomax
rustomax
11

dapr-troubleshooter

Proactively detect and diagnose DAPR runtime issues based on error patterns, log analysis, and common misconfigurations. Provides immediate solutions for service invocation failures, state management issues, pub/sub problems, and deployment errors. Use when encountering DAPR errors or unexpected behavior.

daprlogstroubleshootingservice-mesh
Sahib-Sawhney-WH
Sahib-Sawhney-WH
1

incident-logger

開発中に発生した問題・エラー・失敗を即座に記録し、体系的に管理するシステム。再発防止、ナレッジ蓄積、チーム学習を実現する問題管理の中核Skill。

logsproblem-managementerror-trackingknowledge-management
Gaku52
Gaku52
1

gcp-operations

This skill should be used when the user asks to "check logs", "view Cloud Run logs", "deploy a service", "check service status", "manage secrets", "add a secret", "list services", "check what's running", or mentions GCP, Google Cloud, Cloud Run, Secret Manager, or deployment. Provides commands and guidance for operating Example App services on Google Cloud Platform.

gcpgoogle-cloudcloud-runsecret-management
bout3fiddy
bout3fiddy
0

ios-debugger-agent

Use XcodeBuildMCP to build, run, launch, and debug the current iOS project on a booted simulator. Trigger when asked to run an iOS app, interact with the simulator UI, inspect on-screen state, capture logs/console output, or diagnose runtime behavior using XcodeBuildMCP tools.

iosxcodebuildios-simulatordebugging
bout3fiddy
bout3fiddy
0

sentry

Fetch and analyze Sentry issues, events, transactions, and logs. Helps agents debug errors, find root causes, and understand what happened at specific times.

logserror-monitoringdebuggingroot-cause-analysis
nunomen
nunomen
1

Logging Implementation

Manage implementation logs in _docs/templates/ with consistent format. Use when starting project work, completing implementations, or when user mentions 実装ログ/implementation log.

logsimplementationtemplatetracked-changes
camoneart
camoneart
4

log-review

Inspect error logs quickly; use when log snippets or stack traces are mentioned.

logserror-handlingstack-tracesdebugging
BA-CalderonMorales
BA-CalderonMorales
2

langfuse-observability

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langfuseobservabilitymonitoringlogs
phrazzld
phrazzld
21

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