skills

Instrument an AI application with HoneyHive tracing. Use when the user wants to add observability, capture traces, set up the SDK, configure exporters, or wire OpenTelemetry-compatible instrumentation for an agent, RAG pipeline, or LLM application. Triggers on phrases like "add tracing", "instrument my app", "wire up HoneyHive", "set up the SDK", "capture spans", "OTEL exporter", or any mention of `HoneyHiveTracer.init`, `@honeyhive/api-client`, `client.sessions.startSession`, `client.events.createEvent`, or `OpenInference`/`Traceloop` instrumentors targeting HoneyHive.

Decode a HoneyHive Discover URL, query the flagged sessions and their trace trees, classify each finding as a true or false positive with evidence, and recommend specific guardrails (hooks, evaluator changes, prompt additions) to prevent recurrence.

HoneyHive CLI install, discovery, and usage reference. Shared by honeyhive-instrument, honeyhive-evaluate, and honeyhive-improve skills. Use to install the CLI, discover commands, inspect schemas, and file doc-gap issues.

Set up and verify HoneyHive experiments for an AI agent or LLM workflow. Use when the user wants to evaluate an agent, run an experiment, create or reuse a dataset, add evaluators or rubrics, compare experiment runs, or wire `evaluate()` with HoneyHive. Triggers on phrases like "evaluate my agent", "run an experiment", "create an eval dataset", "add evaluators", "compare runs", `honeyhive experiments`, `honeyhive datasets`, or `evaluate()`.

Debug and improve an AI agent or LLM workflow using HoneyHive trace data. Use when the user has a failing session, event, evaluator, experiment run, alert, or vague production complaint and wants root-cause analysis, a minimal fix plan, or a verified improvement loop. Triggers on phrases like "debug this trace", "investigate a failing session", "why did this run fail", "root cause", "production issue", `honeyhive events search`, `honeyhive experiments`, or evaluator failure analysis.