Process and generate multimedia content using Google Gemini API for better vision capabilities. Capabilities include analyze audio files (transcription with timestamps,…
로깅 컨벤션 검증 스킬. Python 코드의 로깅 패턴을 분석하여 규칙 준수 여부를 검사한다.
Use after creating PR - monitor CI pipeline, resolve failures, address review feedback, and merge when all gates pass
Primary tool for all code navigation and reading in supported languages (Rust, Python, TypeScript, JavaScript, Go, Java, Scala, SQL).
Expert in error handling, Error Boundaries, Sentry integration, logging strategies, error recovery, user-friendly error UI, and debugging tools
Control and interact with a live browser session on any scraped page — click buttons, fill forms, navigate flows, and extract data using natural language prompts or code.
Implement observability and monitoring using Cloudflare Workers Analytics, wrangler tail for logs, and health checks.
Configures automated infrastructure monitoring with mobile alerts (ntfy.sh and Home Assistant) and implements auto-recovery for common failures.
Expert codebase investigator that builds rich mental models, traces interactions between components, finds bugs and defects, and explains why code behaves the way it does.
Use when: reviewing, designing, implementing, or debugging C++ object lifetime, dangling pointers or references, iterator invalidation, reference invalidation, string_view or span…
Implement monitoring for a project by consuming augur's monitoring-spec.yaml. Produces Grafana dashboard JSON, Prometheus alert rules, and validates that the running service emits…
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…
Service health monitoring, alerting patterns, and incident response. Check if services are up, diagnose issues, set up alerting rules.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links.
Run the stata-reviewer agent on a do-file. Produces a structured code-review report covering reproducibility, logging, naming, magic numbers, table/figure quality, and conformance…
Roda, monitora e diagnostica scripts Python/notebooks na workstation. Cobre: verificar se está executando, tempo decorrido/restante, uso de GPU/CPU, escolha de GPU com menor…
Infrastructure operations skill for monitoring servers, validating tokens, and managing backups. Triggers: /infra-status, /token-check, /backup-now
Track Claude Code token usage, sessions, tool calls, lines of code, commits, and PRs per user and team. Supabase OTel queries for usage dashboards.
Automate browsers with Puppeteer CLI scripts and persistent sessions. Use for screenshots, performance analysis, network monitoring, web scraping, form automation, JavaScript…
Entry point for general Agent 365 (A365) registration and CLI setup — use this skill whenever the user wants to "set up A365", "register agent", "create blueprint", or general…
Analyze a repository's type system and generate type-safe DAG execution pipelines with GraphSentry-style certificate verification.
Arize Phoenix observability platform setup for LLM debugging and evaluation
Generates MediatR Pipeline Behaviors for cross-cutting concerns like logging, validation, exception handling, caching, and performance monitoring.
Adds an event consumer that writes to Azure Data Lake (Parquet) following BI_SALES_RISK plan. Creates events/consumers/[Name]DataLakeCollector.ts subscribing to RabbitMQ, building…
Add a --debug flag and structured file logging to the current project
Creates a custom MediatR pipeline behavior for cross-cutting concerns. Use when adding validation, logging, caching, or other pipeline logic that applies to multiple handlers.
Complete observability & reliability engineering system. Use when designing monitoring, implementing structured logging, setting up distributed tracing, building alerting systems,…
Monitoring et observabilité pour agents IA en production. Traces, métriques, alertes. Se déclenche avec "monitoring agent", "observabilité agent", "LangSmith", "traces ag — from…
Telemetry and observability patterns for AI agent systems. Structured multi-transport logging, OpenTelemetry traces/spans through action gates, crash diagnostics,…
Grafana Labs LLM plugin, Assistant ve HTTP API ayrımını Sentinel CLI bağlamında açıklarken kullan.
Gives Claude Code operators a live dashboard for multi-agent sessions, tool calls, file activity, and nested task progress so debugging starts from what the agents are actually…
Operational patterns for LLM inference: latency budgeting, tail-latency control, caching, batching/scheduling, quantization/compression, parallelism, and reliable serving at…
Use when designing AI agent observability architecture, integrating mission-control dashboards, or defining AI-specific KPI schemas
Giải thích dashboard Grafana Dotnet Runtime Metrics (Prometheus) — GC, memory, thread pool, JIT, exceptions.
Structures catastrophe risk assessment with model output interpretation and accumulation monitoring. Use when analyzing cat risk, interpreting cat model results, or managing cat…
Optimize Anthropic Claude API costs with model routing, prompt caching, batching, and spend monitoring.
Use when an approved ai-architecture.md needs eval or observability coverage for an Anthropic Claude capability.
Implement comprehensive API error handling with standardized error responses, logging, monitoring, and user-friendly messages.
Instrument API requests with spans and distributed tracing. Use when tracking request latency or debugging API issues.
**ANALYSIS SKILL** - Observe Aspire apps: logs, traces, metrics, resource state, telemetry export, browser telemetry, and the standalone dashboard.
Use when the user says "audit my observability" / "audit logging/tracing/alerting" / "what are we blind to" / "review my Sentry/Datadog setup" — reads the connected observability…
Implementing comprehensive logging, tracking, and audit trails for AI systems to ensure compliance and enable debugging.
Optimize BambooHR integration costs through request reduction, caching, and usage monitoring. Use when analyzing API usage patterns, reducing unnecessary calls, or implementing…
Use when designing, reviewing, or debugging Batch Apex contracts, scope sizing, stateful behavior, chaining, and AsyncApexJob monitoring.
Use when you need to run a binary, trace execution, or observe runtime behavior. Runtime analysis via QEMU emulation, GDB debugging, and Frida hooking - syscall tracing ( — from…
Analyze MSBuild binary logs to diagnose build failures by replaying binlogs to searchable text logs. Only activate in MSBuild/.NET build context.
Compares how a rhythm CHANGES between conditions, genotypes, treatments, tissues, or ages (differential rhythmicity), classifying each feature as gain-of-rhythm, loss-of-rhythm,…
Discovers periodic signals of unknown period in time-series omics data using Lomb-Scargle periodograms (scipy), autocorrelation, and wavelet time-frequency decomposition (pywt).
Use when troubleshooting Bknd issues, debugging errors, fixing common problems, or diagnosing why something isn't working.
Use Strands Agents to assemble model-agnostic Python or TypeScript agent harnesses with tools, MCP, guardrails, tracing, streaming, and provider swaps.
Build Kubernetes observability stacks with Prometheus, Grafana, OpenTelemetry, Jaeger, and Loki. Use when implementing metrics, tracing, logging, SRE practices, or cost…
Use when building AI agents with OpenAI's Agents SDK. Triggers include creating agents, implementing tools, multi-agent handoffs, guardrails, MCP integration, tracing.
Configure Grafana Loki logging using byteforge-loki-logging library for Python/Flask applications. Use when setting up Loki logging, configuring centralized logging, or adding…
Configure Prometheus metrics for Python/Flask applications with multi-worker gunicorn safety and optional Redis-backed business metrics.
Trace Elixir call trees from entry points via mix xref. Use when debugging data flow, planning signature changes, or understanding how a bug reaches code.
Handle Canva Connect API rate limits with backoff, queuing, and monitoring. Use when hitting 429 errors, implementing retry logic, or optimizing API request throughput for Canva…
Check Python logging levels and patterns for correctness. Focus on identifying wrong severity levels and missing exception handling. Use when reviewing code quality.
An ASE skill built on Checkmate, the open source self-hosted monitoring platform for uptime, incidents, response times, and infrastructure visibility.
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring ne — from…
Debug and analyze web applications using Chrome DevTools MCP. Use for console log inspection, network request monitoring, performance analysis, and debugging authenticated…