Monitoratge

Registres, mètriques i observabilitat

Skills: 433–456 de 1480
fmind

MLOps Observability

fmind

Guide to implement full stack observability including reproducibility, lineage, monitoring, alerting, and explainability.

Processament de dades 1,4 k fa 9 mesos
rodydavis

how-to-print-multiple-objects-to-the-console-with-print-in-dart

rodydavis

Learn how to print multiple objects to the console in Dart using Records, offering a similar experience to JavaScript's console.log() functionality.

Generació de codi 60 fa 8 mesos
mlflow

analyzing-mlflow-trace

mlflow

Analyzes a single MLflow trace to answer a user query about it. Use when the user provides a trace ID and asks to debug, investigate, find issues, root-cause errors, understand behavior, or analyze quality. Triggers on "analyze this trace", "what went wrong with this trace", "debug trace", "investigate trace", "why did this trace fail", "root cause this trace".

Processament de dades 82 fa 9 mesos
mlflow

analyzing-mlflow-session

mlflow

Analyzes an MLflow session — a sequence of traces from a multi-turn chat conversation or interaction. Use when the user asks to debug a chat conversation, review session or chat history, find where a multi-turn chat went wrong, or analyze patterns across turns. Triggers on "analyze this session", "what happened in this conversation", "debug session", "review chat history", "where did this chat go wrong", "session traces", "analyze chat", "debug this chat".

Autenticació 82 fa 9 mesos
aj-geddes

azure-functions

aj-geddes

Create serverless functions on Azure with triggers, bindings, authentication, and monitoring. Use for event-driven computing without managing infrastructure.

Núvol 371 fa 11 mesos
dropseed

plain-optimize

dropseed

Captures and analyzes performance traces to identify slow queries and N+1 problems. Use when analyzing performance or optimizing database queries.

Depuració 1 k fa 8 mesos
forcedotcom

span-file-export

forcedotcom

Use file-based span export for AI consumption. Where it lives, how to enable/clear, settings for Node and Web. Use when enabling span file dump, debugging traces for AI, or configuring local observability.

Processament de dades 1 k fa 8 mesos
iamseungpil

update-study

iamseungpil

This skill should be used when the user asks to "update study", "analyze new experiments", "update experiment document", or "refresh study notes". Produces academic-paper-quality experiment reports with matplotlib plots, executive summary with comparison tables, implementation structure, experimental results with figure interpretation, proposed improvements with code examples, hypotheses, limitations, and LaTeX PDF export with figures. Features incremental detection (only analyze NEW experiments), data extraction to DataFrame, automated plot generation, iterative writing improvement loop with quality criteria, zero-hallucination verification, and LaTeX PDF export. Usage - /update-study logs/experiment.log study.md or /update-study "logs/exp1.log logs/exp2.log" results/ablation_study.md

Generació de codi 3 fa 8 mesos
freekmurze

ab-test-setup

freekmurze

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

Monitoratge 1 k fa 8 mesos
freekmurze

pricing-strategy

freekmurze

"When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy."

Àmbit acadèmic 1 k fa 8 mesos
aj-geddes

circuit-breaker-pattern

aj-geddes

Implement circuit breaker patterns for fault tolerance, automatic failure detection, and fallback mechanisms. Use when calling external services, handling cascading failures, or implementing resilience patterns.

Processament de dades 370 fa 11 mesos
aj-geddes

alert-management

aj-geddes

Implement comprehensive alert management with PagerDuty, escalation policies, and incident coordination. Use when setting up alerting systems, managing on-call schedules, or coordinating incident response.

Depuració 370 fa 11 mesos
cosmix

data-visualization

cosmix

Creates effective data visualizations, charts, dashboards, and reports across analytics, infrastructure monitoring, and ML domains. Covers library selection, UX design, and accessibility. Trigger keywords: chart, graph, plot, dashboard, report, visualization, matplotlib, plotly, d3, seaborn, grafana, tableau, superset, metabase, KPI, metric, analytics, histogram, heatmap, time-series, scatter, bar-chart.

Accessibilitat 63 fa 9 mesos
cosmix

logging-observability

cosmix

Comprehensive logging and observability patterns for production systems including structured logging, distributed tracing, metrics collection, log aggregation, and alerting. Triggers for this skill - log, logging, logs, trace, tracing, traces, metrics, observability, OpenTelemetry, OTEL, Jaeger, Zipkin, structured logging, log level, debug, info, warn, error, fatal, correlation ID, span, spans, ELK, Elasticsearch, Loki, Datadog, Prometheus, Grafana, distributed tracing, log aggregation, alerting, monitoring, JSON logs, telemetry.

Processament de dades 63 fa 8 mesos
proflead

performance-trace-guide

proflead

Guide collection and analysis of performance traces. Use when a mid-level developer needs to diagnose slowness.

Depuració 161 fa 9 mesos
cosmix

grafana

cosmix

Observability visualization with Grafana and LGTM stack. Dashboard design, panel configuration, alerting, variables/templating, and data sources. USE WHEN: Creating Grafana dashboards, configuring panels and visualizations, writing LogQL/TraceQL queries, setting up Grafana data sources, configuring dashboard variables and templates, building Grafana alerts. DO NOT USE: For writing PromQL queries (use /prometheus), for alerting rule strategy (use /prometheus), for general observability architecture (use senior-software-engineer with infrastructure focus). TRIGGERS: grafana, dashboard, panel, visualization, logql, traceql, loki, tempo, mimir, data source, annotation, variable, template, row, stat, graph, table, heatmap, gauge, bar chart, pie chart, time series, logs panel, traces panel, LGTM stack.

Analítica 63 fa 8 mesos
cosmix

prometheus

cosmix

Prometheus monitoring and alerting for cloud-native observability. USE WHEN: Writing PromQL queries, configuring Prometheus scrape targets, creating alerting rules, setting up recording rules, instrumenting applications with Prometheus metrics, configuring service discovery. DO NOT USE: For building dashboards (use /grafana), for log analysis (use /logging-observability), for general observability architecture (use senior-software-engineer with infrastructure focus). TRIGGERS: metrics, prometheus, promql, counter, gauge, histogram, summary, alert, alertmanager, alerting rule, recording rule, scrape, target, label, service discovery, relabeling, exporter, instrumentation, slo, error budget.

Desenvolupament d’API 63 fa 8 mesos
cosmix

model-evaluation

cosmix

Evaluates machine learning models for performance, fairness, and reliability using appropriate metrics and validation techniques. Covers training debugging, hyperparameter tuning, and production monitoring. Trigger keywords: model evaluation, metrics, accuracy, precision, recall, F1, F1-score, ROC, AUC, ROC-AUC, confusion matrix, cross-validation, k-fold, stratified, overfitting, underfitting, bias, variance, bias-variance tradeoff, hyperparameter, hyperparameter tuning, loss, loss function, metric, benchmark, benchmarking, model performance, classification metrics, regression metrics, RMSE, MSE, MAE, MAPE, R2, R-squared, train-test split, validation set, test set, hold-out, learning curve, validation curve, model selection, error analysis, residual analysis, ML testing, training issues, convergence, gradient, vanishing gradient, exploding gradient, training instability, LLM evaluation, language model evaluation, prompt engineering evaluation, A/B testing, champion-challenger, model monitoring, model drift, data drift, concept drift, model decay.

MLOps 63 fa 8 mesos
lis186

code-flow-tracer

lis186

Trace code execution paths and data flow. Use when user asks "how does X work", "what happens when X", "trace the flow of X", "where does data come from", or needs to understand feature implementation.

Processament de dades 48 fa 10 mesos
TencentBlueKing

bk-monitor-weekly-report

TencentBlueKing

通过 GitHub MCP 获取用户 PR 并生成周报。当用户提到生成周报、写周报时使用。

Analítica 839 fa 8 mesos
TencentBlueKing

bk-monitor-security-audit

TencentBlueKing

对前端代码进行安全审计,检测 XSS、CSRF 等漏洞。当用户请求代码审查或询问代码安全性时使用。

Revisió de codi 839 fa 8 mesos
TencentBlueKing

bk-monitor-tapd-dev

TencentBlueKing

根据 TAPD 单据分析开发需求并生成方案。当用户需要开发 TAPD 需求/缺陷/任务时使用。

Generació de codi 839 fa 8 mesos
TencentBlueKing

bk-monitor-tapd-summary

TencentBlueKing

获取 TAPD 待办单据并生成归纳总结。当用户提到获取 TAPD 单据、查看待办时使用。

Generació de codi 839 fa 8 mesos
steveclarke

feature-vision

steveclarke

Vision Document

Generació de codi 36 fa 9 mesos