claude

agent-observability

Expert guidance for instrumenting AI agents in production. Covers LLM call tracing, multi-agent coordination, tool execution, token/cost tracking, and evaluation quality for frameworks like LangChain, Claude Agent SDK, and custom agent loops.

7 on GitHubby Caleb Davisv1.0.0MITupdated 10 months ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin agent-observability in nexus-labs-automation/agent-observability. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (14)

  • decision-tracing

    Trace agent decision-making, tool selection, and reasoning chains

  • error-retry-tracking

    Instrument error handling, retries, fallbacks, and failure patterns

  • evaluation-quality

    Instrument evaluation metrics, quality scores, and feedback loops

  • guardrails-safety

    Instrument safety checks, content filters, and guardrails for agent outputs

  • human-in-the-loop

    Instrument human approval workflows, feedback loops, and escalations

  • instrumentation-planning

    Plan what to measure in AI agent systems using tiered approach

  • llm-call-tracing

    Instrument LLM API calls with proper spans, tokens, and latency

  • memory-rag-instrumentation

    Instrument RAG retrieval, memory operations, and context management

  • multi-agent-coordination

    Instrument multi-agent workflows, handoffs, and parent-child relationships

  • production-eval-strategy

    Strategies for evaluating agents in production - sampling, baselines, and regression detection

  • prompt-versioning

    Track prompt versions, A/B test variants, and measure prompt performance

  • session-conversation-tracking

    Instrument sessions, conversations, and multi-turn interactions

  • token-cost-tracking

    Track token usage and costs across agents for budget management

  • tool-call-tracking

    Instrument agent tool executions with proper context and error handling

Slash commands (2)

  • /agent-observability:audit

    Audit existing agent telemetry and identify gaps

  • /agent-observability:instrument

    Generate an instrumentation plan for AI agent systems

Subagents (2)

  • codebase-analyzer

    Explores agent codebases to understand architecture, detect existing telemetry, and identify instrumentation opportunities

  • instrumentation-reviewer

    Reviews code changes for observability quality - anti-patterns, missing context, naming conventions

View source on GitHub

Problems found in this repo's manifests

  • .claude-plugin/marketplace.json has no "plugins" array

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