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orq-ai/orq

v2.5.1MIT

Agent skills for building, deploying, evaluating, and monitoring LLM pipelines on the orq.ai platform.

orq-analyze-trace-failures

Read production traces, identify what's failing, and build failure taxonomies using open coding and axial coding methodology. Use when debugging agent or pipeline quality, investigating "why are my outputs bad?", or before building any evaluator — error analysis must come first. Do NOT use when you already have identified failure modes and need evaluators (use orq-build-evaluator) or datasets (use orq-generate-synthetic-dataset).

Read SKILL.md at the source

Pinned to revision 9634e1d956e4, so it is the text this page describes rather than whatever the author pushed since.

Pre-approved tools experimental

Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.

  • Read
  • Write
  • Edit
  • Grep
  • Glob
  • Task
  • AskUserQuestion
  • mcp__orq-workspace__list_traces
  • mcp__orq-workspace__list_spans
  • mcp__orq-workspace__get_span
  • mcp__orq-workspace__get_analytics_overview
  • mcp__orq-workspace__query_analytics
  • mcp__orq-workspace__search_entities
  • mcp__orq-workspace__search_docs

Files

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