Monitoring
Logging, metrics, and observability
anomaly-detection
by dadbodgeoff
Rule-based anomaly detection for production systems with configurable thresholds, cooldown periods to prevent alert storms, and error pattern tracking for repeated failures.
data-visualization
by 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.
opik-optimizer
by vincentkoc
Optimize LLM prompts, tools, and agents in Opik using standardized optimizer workflows (prompt optimization, tool optimization, and parameter tuning), dataset/metric wiring, and result interpretation.
makefile
by mcouthon
"Use when creating Makefiles for process lifecycle management with PID tracking, logging, and status monitoring. Triggers on: 'use makefile mode', 'makefile', 'create makefile', 'process management', 'background jobs', 'start/stop services'. Full access mode - can create/modify Makefiles."
makefile
by mcouthon
"Use when creating Makefiles for process lifecycle management with PID tracking, logging, and status monitoring. Triggers on: 'use makefile mode', 'makefile', 'create makefile', 'process management', 'background jobs', 'start/stop services'. Full access mode - can create/modify Makefiles."
error-detective
by htlin222
Search logs and codebases for error patterns, stack traces, and anomalies. Use when debugging issues, analyzing logs, or investigating production errors.
sc-troubleshoot
by htlin222
Diagnose and resolve issues in code, builds, or system behavior. Use when debugging errors, investigating build failures, or resolving deployment issues.
debug
by htlin222
Debug errors, test failures, and unexpected behavior with log analysis and correlation. Use when encountering issues, error messages, analyzing logs, or investigating production errors.
nextjs-shadcn
by fusengine
shadcn/ui for Next.js App Router with TanStack Form. Use when building UI components, forms, dialogs, tables, toasts, or accessible components.
sf-debug
by Jaganpro
Salesforce debugging and troubleshooting skill with log analysis, governor limit detection, and agentic fix suggestions. Parse debug logs, identify performance bottlenecks, analyze stack traces, and automatically suggest fixes.
laravel-blade
by fusengine
Create Blade templates with components, slots, layouts, and directives. Use when building views, reusable components, or templating.
how-to-print-multiple-objects-to-the-console-with-print-in-dart
by rodydavis
Learn how to print multiple objects to the console in Dart using Records, offering a similar experience to JavaScript's console.log() functionality.
analyzing-mlflow-session
by 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".
setup-agent-tail
by qdhenry
Configure agent-tail log aggregation for the current project. Auto-detects framework (Vite, Next.js, plain Node, monorepo) and sets up CLI runner, browser log plugins, and output destinations. Use when setting up agent-tail, configuring dev server logging, or piping logs for AI agent consumption.
ai-model-web
by TencentCloudBase
Use this skill when developing browser/Web applications (React/Vue/Angular, static websites, SPAs) that need AI capabilities. Features text generation (generateText) and streaming (streamText) via @cloudbase/js-sdk. Built-in models include Hunyuan (hunyuan-2.0-instruct-20251111 recommended) and DeepSeek (deepseek-v3.2 recommended). NOT for Node.js backend (use ai-model-nodejs), WeChat Mini Program (use ai-model-wechat), or image generation (Node SDK only).
Logging Guide
by AsiaOstrich
Implement structured logging with proper log levels and sensitive data handling. Use when: adding logging, debugging, setting up observability. Keywords: logging, log level, structured logging, observability, 日誌, 記錄, 結構化日誌.
ai-model-wechat
by TencentCloudBase
Use this skill when developing WeChat Mini Programs (小程序, 企业微信小程序, wx.cloud-based apps) that need AI capabilities. Features text generation (generateText) and streaming (streamText) with callback support (onText, onEvent, onFinish) via wx.cloud.extend.AI. Built-in models include Hunyuan (hunyuan-2.0-instruct-20251111 recommended) and DeepSeek (deepseek-v3.2 recommended). API differs from JS/Node SDK - streamText requires data wrapper, generateText returns raw response. NOT for browser/Web apps (use ai-model-web), Node.js backend (use ai-model-nodejs), or image generation (not supported).
ai-model-nodejs
by TencentCloudBase
Use this skill when developing Node.js backend services or CloudBase cloud functions (Express/Koa/NestJS, serverless, backend APIs) that need AI capabilities. Features text generation (generateText), streaming (streamText), AND image generation (generateImage) via @cloudbase/node-sdk ≥3.16.0. Built-in models include Hunyuan (hunyuan-2.0-instruct-20251111 recommended), DeepSeek (deepseek-v3.2 recommended), and hunyuan-image for images. This is the ONLY SDK that supports image generation. NOT for browser/Web apps (use ai-model-web) or WeChat Mini Program (use ai-model-wechat).
log-analysis
by incidentfox
Partition-first log analysis methodology. Use for log searches, error analysis, pattern finding across Datadog, CloudWatch, or Kubernetes logs.
git-log-summary
by benmatselby
Provides a summary of the git log for the past period of time. Use when asked to provide a git log summary.
debugging-capacitor
by Cap-go
Comprehensive debugging guide for Capacitor applications. Covers WebView debugging, native debugging, crash analysis, network inspection, and common issues. Use this skill when users report bugs, crashes, or need help diagnosing issues.
dspy-debugging-observability
by OmidZamani
This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "use MLflow with DSPy", mentions "inspect_history", "custom callbacks", "observability", "production monitoring", "cost tracking", or needs to debug, trace, and monitor DSPy applications in development and production.
dspy-evaluation-suite
by OmidZamani
This skill should be used when the user asks to "evaluate a DSPy program", "test my DSPy module", "measure performance", "create evaluation metrics", "use answer_exact_match or SemanticF1", mentions "Evaluate class", "comparing programs", "establishing baselines", or needs to systematically test and measure DSPy program quality with custom or built-in metrics.
olore-axiom-latest
by olorehq
Local Axiom documentation reference (latest). Axiom observability documentation. Use for log ingestion, APL queries, dashboards, alerting, integrations, Next.js/Vercel/Lambda, and real-time analytics.