Agent Observability

Agent Observability is an AI Engineering skill for Claude Code, published by seb1n in awesome-ai-agent-skills.

174 stars32 forkson seb1n/awesome-ai-agent-skillsAdded 2026/09/07+2% in starsRepository updated 2026/08/09

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Install in seconds

Install Agent Observability

Copy Agent Observability into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/seb1n/awesome-ai-agent-skills/tree/main/agent-engineering/agent-observability ~/.claude/skills/agent-observability

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/seb1n/awesome-ai-agent-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: agent-engineering/agent-observability/SKILL.md in seb1n/awesome-ai-agent-skills
Installs to: ~/.claude/skills/agent-observability
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 3475 skills

What Agent Observability does

Agent Observability designs privacy-aware telemetry for AI agents using traces, spans, metrics, dashboards, and alerts. Use it to debug failures, measure latency and cost, define SLOs, and audit agent behavior.

Agent Observability is cataloged under AI Engineering on DirSkills. Agent Observability comes from a repository tagged agent-skills, ai-agent-skills, ai-agents, awesome-list and claude-code.

Documentation

README

Excerpt

Agent Observability

Make agent behavior explainable from request entry through model, retrieval, tool, handoff, and response spans.

Use when

Add telemetry to a new or existing agent workflow.
Diagnose slow, costly, incorrect, looping, or failed executions.
Define dashboards, alerts, service-level indicators, or audit evidence.
Standardize traces across models, tools, and orchestration frameworks.

Inputs

Collect the workflow graph, runtime boundaries, incident questions, traffic and failure expectations, telemetry stack, data classification, retention policy, sampling limits, and owners. State what cannot be observed.

Output contract

Produce:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Agent Observability

What else does seb1n publish alongside Agent Observability?
Agent Observability is one of 25 skills that DirSkills catalogs from seb1n/awesome-ai-agent-skills, the repository it ships in. Its siblings there include API Design, API Integration and Agent Evaluation. Each one is a separate skill with its own page in this directory, installs the same way Agent Observability does, and is maintained by seb1n in that same repository. The rest of the collection is listed on the seb1n/awesome-ai-agent-skills page.
How does Agent Observability compare to other AI Engineering skills?
Agent Observability ranks #3200 by stars among the 3475 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agent Observability against them. Open each page to compare what they document and how they install.