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skills
skills には superloglabs から収集した 12 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。
このリポジトリの skills
Pull production observability context from the Superlog MCP to ground debugging, incident response, and 'how is this behaving in prod right now?' questions. Triggers whenever the user is investigating a bug, regression, or incident; asking about real traffic, error rates, latency, or throughput; validating a deploy; or wants the recent history of a service.
Expo / React Native OpenTelemetry style: bootstrap guards, init ordering, inline public ingest token, mobile-compatible exporters, and product action spans.
Generic OpenTelemetry style fallback for languages without a dedicated otel-*-style skill (Go, Java/Kotlin, Ruby, Rust, .NET/C#, PHP, Elixir, plain Node, etc.). Native SDK APIs, module-scope tracers/meters, bounded spans, error recording, OTLP logs, and resource attributes.
Next.js/Vercel OpenTelemetry style: instrumentation.ts, @vercel/otel bootstrap, native @opentelemetry/api call sites, inline public ingest token, and no raw NodeSDK replacement.
General OpenTelemetry onboarding style for Superlog managed agents: native APIs, signal quality, env vars, LLM metrics, and smoke checks.
Python OpenTelemetry style: module-scope tracers/meters, decorators for bounded work, error spans, logs, and no wrappers.
Supabase Edge Function observability style: tiny provider-neutral OTel-shaped shim, OTLP export config, traces/logs/metrics, and LLM cost metrics.
Onboard a project to Superlog by installing OpenTelemetry traces, logs, and metrics across every app and service in the repo. Triggers on requests like 'install Superlog', 'set up Superlog', 'add Superlog telemetry', 'onboard this repo to Superlog', 'instrument with OpenTelemetry for Superlog'.
Flask OpenTelemetry style: native FlaskInstrumentor, centralized observability init, Python decorators, OTLP logs, and LLM cost metrics.
Instrument any new feature, endpoint, route, handler, worker, job, CLI command, or user-facing flow with OpenTelemetry spans, metrics, and logs before it lands. Triggers on requests like 'add a new endpoint', 'implement X', 'create a handler for Y', 'build a job to Z', 'add this feature', 'wire up a new route', or any code change that introduces a new business operation.
FastAPI OpenTelemetry style: native FastAPIInstrumentor, centralized observability init, Python decorators, OTLP logs, and LLM cost metrics.
LiveKit Agents OpenTelemetry style: entrypoint/session lifecycle spans, shutdown callbacks, session metrics, and LLM turn token counters.