Use when adding logging to services, setting up monitoring, creating alerts, debugging production issues, designing SLIs/SLOs, or implementing structured logging (Pino, Winston), metrics (Prometheus, DataDog, CloudWatch), or distributed tracing (OpenTelemetry).
Implements structured logging, metrics, and distributed tracing for monitoring and debugging services.
/plugin marketplace add srstomp/pokayokay/plugin install pokayokay@pokayokayThis skill inherits all available tools. When active, it can use any tool Claude has access to.
references/alerting-guide.mdreferences/logging-patterns.mdreferences/metrics-guide.mdreferences/tracing-basics.mdImplement the three pillars of observability: logs, metrics, and traces.
| Pillar | Purpose | Key Question |
|---|---|---|
| Logs | Discrete events with context | What happened? |
| Metrics | Aggregated measurements | How much/many? |
| Traces | Request flow across services | Where did time go? |
| Reference | Description |
|---|---|
| logging-patterns.md | Structured logging, log levels, Pino/Winston setup |
| metrics-guide.md | Prometheus, counters/gauges/histograms, golden signals |
| tracing-basics.md | OpenTelemetry, distributed tracing, span design |
| alerting-guide.md | Alert design, SLIs/SLOs, severity levels, dashboards |
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
Search, retrieve, and install Agent Skills from the prompts.chat registry using MCP tools. Use when the user asks to find skills, browse skill catalogs, install a skill for Claude, or extend Claude's capabilities with reusable AI agent components.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.