“observability”

What must be visible to prove the change worked and to diagnose it when it does not.

Build production-ready monitoring, logging, and tracing systems.

Standar observability dan evaluasi kualitas output AI.

Make every skill/agent/eval execution observable through a structured, queryable run log so the framework can answer "why did the agent do X, and did it…

Design evaluation, tracing, monitoring, scope-control, and rollback discipline for agent systems.

Privacy-aware conversion tracking, error logging, and web vitals.

Extract useful observations from results, traces, examples, errors, papers, or other evidence before explaining them.

A comprehensive skill for developing, deploying, and monitoring AI agents in production, focusing on observability, sandboxing, and agent-to-agent…

Design logs, metrics and traces so failures are diagnosable in production.

Establishes observability and provenance standards for agent decisions, tool actions, and memory updates.

Design a focused lesson observation protocol with specific look-fors and evidence collection methods.

有限元内核可观测性：性能计数、计时钩子、诊断接口、日志与错误传播与 02-06 错误架构对齐、追踪与调试支持；因果叙事作为横切追踪视图（非第五链）。在用户提到可观测、性能分析、诊断、计时、日志、错误传播、追踪、调试、因果/为何变更、或需要为某域/某层增加观测点时使用。与…

Unified skill for continuous system health monitoring and reactive production issue debugging.

Guide for using Observable Plot, a JavaScript library for exploratory data visualization built on D3.

Launch the babysitter observer dashboard.

Wires Sentry crash reporting behind a port: start on consent, PII scrubbing, releases, source maps per build and update.

UsageMax public observability

SYMBaiEX

Read-only MCP for AI usage profiles, leaderboards, stats, and docs; no writes or private data.

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith

Instruments code so production behavior is visible and diagnosable.

Monitors task execution for skill improvement opportunities.

File a substrate-friction observation correctly.

Memory that reasons: continual learning for stateful agents.

Monitors task execution for skill improvement opportunities.

Beginner-friendly workflow for Kernel-assisted network observation, TLS boundary evidence, process attribution, and capture validation.