Observability skills

This skill helps you design, evaluate, deploy, and monitor production ML systems using AI Engineering best practices across data, models, and operations.

This skill enables systematic debugging to identify root causes using a 4-phase approach, improving reproducibility and fix quality.

This skill helps you develop, optimize, and troubleshoot Inngest workflows with best practices for events, steps, error handling, and observability.

This skill automates daily updates for Clawdbot and all installed skills, delivering a concise changelog.

This skill helps you read and interpret SPAA files to identify performance hotspots, memory issues, and optimization opportunities.

This skill automates debugging by instrumenting code with probes to collect real-time evidence and reconstruct execution flow.

This skill strengthens registration security with multi-layer anti-fraud and bot detection, reducing false positives while guarding accounts.

This skill enables real-time streaming chat and collaborative features for Composable Svelte apps, improving LLM conversations, presence, typing indicators,

This skill helps you manage and optimize the birdmate APM project by outlining instructions, prompts, and agents for efficient AI workflows.

This skill loads a structured AI agent instruction template into your project, recording version data and dependencies for traceable setup.

This skill inventories all available skills by scanning skill.yaml files to build a global map of capabilities, inputs, and outputs.

This skill helps you implement and validate django-health-check configurations for reliable health endpoints in Django deployments.

This skill performs ops-grade profiling of Java projects, producing PROJECT_PROFILE.md and DEPLOYMENT_RUNBOOK.md with architecture and deployment readiness

This skill helps you integrate Portkey TypeScript SDK to build observable, reliable LLM apps with multi-provider routing and caching.

This skill helps you investigate production errors with Rollbar, fetch recent issues, view full context, and mark items as resolved.

This skill helps you diagnose AppSignal errors by fetching incidents and samples and guiding debugging steps for faster resolution.

This skill helps you build real-time React/TypeScript apps using Ably channels, spaces, live objects, chat, and live sync.

This skill monitors and reports your UniFi network status, devices, clients, health, and alerts to keep you informed.

This skill helps you review error handling and resilience in code, ensuring robust exception management, retry policies, and graceful degradation.

This skill helps you manage remote workflow operations via GitHub Issues, enabling mobile approvals and tmux-based monitoring for multiple works.