GitHub
agentuity-cli-profile-create
Create a new configuration profile
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blockchain monitoring AI 技能
发现 blockchain monitoring 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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GitHub
performance-regression-detection
Track performance benchmarks and detect regressions exceeding 10% threshold. Analyze historical trends and alert on degradation. Calculate regression score (0.00-1.00) for performance health. Integrate with Ser...
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GitHub
rust-tracing
Instrument code with tracing spans and structured logging. Use for observability and performance analysis.
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GitHub
rust-metrics
Expose Prometheus metrics with counters, gauges, and histograms. Use for production monitoring and alerting.
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GitHub
queue-observability
Monitor message queues, job processing, and detect backpressure
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GitHub
instrumentation-planning
Plan backend observability using RED + USE + 4 Golden Signals + JTBD
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GitHub
request-tracing
Instrument HTTP/gRPC endpoints with distributed tracing and RED metrics
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GitHub
error-detective
Search logs and codebases for error patterns, stack traces, and anomalies. Correlates errors across systems and identifies root causes. Use PROACTIVELY when debugging issues, analyzing logs, or investigating pr...
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GitHub
performance-engineer
Profile applications, optimize bottlenecks, and implement caching strategies. Handles load testing, CDN setup, and query optimization. Use PROACTIVELY for performance issues or optimization tasks.
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GitHub
devops-troubleshooter
Debug production issues, analyze logs, and fix deployment failures. Masters monitoring tools, incident response, and root cause analysis. Use PROACTIVELY for production debugging or system outages.
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GitHub
detecting-anomalies
Detect anomalies in metrics and time-series data using OPAL statistical methods. Use when you need to identify unusual patterns, spikes, drops, or outliers in observability data. Covers statistical outlier dete...
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GitHub
analyzing-apm-data
Monitor application performance using the RED methodology (Rate, Errors, Duration) with Observe. Use when analyzing service health, investigating errors, tracking latency, or building APM dashboards. Covers whe...
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GitHub
analyzing-tdigest-metrics
Analyze percentile metrics (tdigest type) using OPAL for latency analysis and SLO tracking. Use when calculating p50, p95, p99 from pre-aggregated duration or latency metrics. Covers the critical double-combine...
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GitHub
aggregating-gauge-metrics
Aggregate pre-computed metrics (gauge, counter, delta types) using OPAL. Use when analyzing request counts, error rates, resource utilization, or any numeric metrics over time. Covers align + m() + aggregate pa...
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GitHub
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, b...
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GitHub
datadog-auto-detector
Automatically detects Datadog resource mentions (URLs, service queries, natural language) and intelligently fetches condensed context via datadog-analyzer subagent when needed for the conversation (plugin:schov...
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GitHub
mz-configure-loki-logging
Configure Grafana Loki logging using mazza-base library for Python/Flask applications with CA certificate (Mazza-specific). Use when setting up Loki logging for Mazza projects or configuring centralized logging...
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GitHub
deployment-workflow
Guides production deployment workflow with safety checks and rollback procedures. Use when deploying applications to staging or production environments.
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GitHub
aiwferror-tracking
Add Sentry v8 error tracking and performance monitoring to your project services. Use this skill when adding error handling, creating new controllers, instrumenting cron jobs, or tracking database performance....
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GitHub
observability-monitor
Comprehensive observability and monitoring workflow that orchestrates metrics collection, logging, distributed tracing, and alerting systems. Handles everything from monitoring architecture design and implement...
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GitHub
dev-log-monitoring
This skill should be used when testing ScreenGraph end-to-end flows (drift detection, agent runs) while monitoring backend and frontend logs in real-time. Use when the user wants to observe system behavior acro...
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GitHub
debugging-omnistrate-deployments
Systematically debug failed Omnistrate instance deployments using a progressive workflow that identifies root causes efficiently while avoiding token limits. Applies to deployment failures, probe issues, and he...
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GitHub
sbt-benchmark
Use PROACTIVELY for JMH benchmarks in this Spark protobuf project. Handles sbt commands, always cleans before benchmarking, saves output to /tmp logs, and uses log-reader agent to parse results.
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GitHub
sentry-monitor
Monitor production errors using Sentry MCP. Query errors, analyze patterns, create issues, and verify error tracking is working. Use after deployment, when debugging production issues, or when verifying Sentry...
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。