Monitoring
Logging, metrics, and observability
agile-metrics
by spjoshis
Master agile metrics with velocity, burn-down charts, cycle time, and team health indicators for data-driven improvement.
habit-tracker
by LKB-99
"A comprehensive skill for tracking habits, maintaining streaks, and using gamification to stay motivated. Use this skill when users want to track daily, weekly, or monthly habits, build routines, or monitor personal growth. Triggers: habit tracker, track habits, new habit, daily routine, weekly goal, build habit, streak, gamification, monitor progress, rastreador de hábitos, novo hábito, rotina diária, meta semanal, criar hábito."
risk-management
by spjoshis
Master risk management with identification, analysis, mitigation strategies, and monitoring techniques for proactive project risk handling.
log-forensics
by SherifEldeeb
Analyze system, application, and security logs for forensic investigation. Use when investigating security incidents, insider threats, system compromises, or any scenario requiring analysis of log data. Supports Windows Event Logs, Syslog, web server logs, and application-specific log formats.
wfc-observe
by sam-fakhreddine
Translates formal system properties (SAFETY, LIVENESS, INVARIANTS, PERFORMANCE) from a PROPERTIES.md file into observability definition snippets (metric definitions, alert rule conditions, dashboard panel fragments). REQUIRES: A specification file (default: PROPERTIES.md) containing properties with quantifiable numeric bounds. USE FOR: Generating metric definition snippets, alert condition logic (PromQL), and dashboard panel JSON fragments based on formal specs. NOT FOR: Writing application instrumentation logic (inserting metrics into .py/.go files); generating high-cardinality metrics (user IDs, emails); properties enforced at compile-time (static analysis); setting up monitoring infrastructure (Terraform/Helm); incident triage.
manim-video-teacher
by lispking
专注于使用 Manim 生成动画教学视频的完整流程与专业建议。适用于用户用中文提示语让 Codex 生成脚本、分镜、Manim 代码、渲染命令或优化教学视频质量与节奏，并输出 MP4。
logfire
by jiatastic
Structured observability with Pydantic Logfire and OpenTelemetry. Use when: (1) Adding traces/logs to Python APIs, (2) Instrumenting FastAPI, HTTPX, SQLAlchemy, or LLMs, (3) Setting up service metadata, (4) Configuring sampling or scrubbing sensitive data, (5) Testing observability code.
debugging-strategies
by EngineerWithAI
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.
logging-observability
by atalovesyou
Guidelines for structured logging, distributed tracing, and debugging patterns across languages. Covers logging best practices, observability, security considerations, and performance analysis.
monitoring-observability
by pluginagentmarketplace
Prometheus, Grafana, logging, alerting, and data pipeline observability
Root Cause Tracing
by akornmeier
Systematically trace bugs backward through call stack to find original trigger
hybrid-cloud-networking
by EngineerWithAI
Configure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers to cloud, or implementing secure cross-premises networking.
circom
by hairyf
Agent-oriented reference for the circom language and compiler—circuits, constraints, signals, templates, compilation, and safety.
debug
by shaoruu
Debug code by adding structured logging. Starts a local HTTP server for browser/remote logging and optionally a live log viewer. Use when debugging issues, tracking down bugs, or when the user says /debug.
ML Monitoring Skill
by vivekgana
Lakehouse Monitoring
service-mesh-observability
by EngineerWithAI
Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.
x-monitor
by ythx-101
Monitor X/Twitter tweet replies and detect technical questions. Uses Camofox + Nitter to fetch reply threads without login. Identifies questions in replies for AI-assisted answer drafting.
kpi-dashboard-design
by EngineerWithAI
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
self-reflecting-chain
by kimasplund
Sequential reasoning with deep self-reflection and backtracking. Use when problems have step-by-step dependencies, need careful logical reasoning, or require error correction. Each step includes self-reflection, and incorrect steps trigger backtracking. Ideal for debugging, mathematical proofs, sequential planning, or causal analysis where order matters.
conport-memory
by nicobailon
Access Context Portal (ConPort) as persistent project memory via MCPorter. Load/update project context, log decisions and progress, track patterns. Use PROACTIVELY at session start to load context and throughout work to log decisions. Combats AI amnesia across sessions.
MLflow Tracking Skill
by vivekgana
Databricks MLflow Guide
monitoring
by mrsknetwork
Sets up production observability — error tracking with Sentry, structured logging with structlog, application metrics with Prometheus, and uptime monitoring. Use when preparing an app for production, debugging production issues, or when the user has no visibility into what's failing in their live app. Trigger when user mentions "Sentry", "error tracking", "monitoring", "logging", "metrics", "alerts", "production issues", "how do I know when something breaks", or "observability".
go
by plutowang
Auto-apply when working with Go (Golang). Trigger this skill when the user asks to create, modify, or debug Go code, HTTP handlers, middleware, CLI tools, or Go tests.
software-evaluation
by ymd38
Evaluate code quality across five pillars (Architecture, Reliability, Observability, Security, DX) and produce a 1-10 scorecard with a strategic improvement roadmap. Use when you want a comprehensive quality review of a directory or module. Triggers on requests like "evaluate code quality", "review architecture", "score my code", "code audit", "/software.evaluation", or when asked for a quality assessment of a directory from a CTO or architect perspective.