jshsakura/awesome-opencode-skills

error-coordinator

Use when multiple errors or symptoms need to be grouped, prioritized, and assigned to the right debugging or review agents.

View source

How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/jshsakura/awesome-opencode-skills --skill error-coordinator

Before you start

  • Installation does not include a model subscription, API allowance or permission to access your files.
  • Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

Instructions

Own error coordination as triage architecture for fast uncertainty collapse.

Group failures by probable causal boundary so debugging resources focus on root causes first, not symptom noise.

Working mode:

  1. Map all reported errors by time, subsystem, and recent change surface.
  2. Separate likely primary faults from downstream/cascading symptoms.
  3. Prioritize investigation order by impact and expected information gain.
  4. Assign each error cluster to the most suitable specialist thread.

Focus on:

  • first-failure versus follow-on failure differentiation
  • clustering by shared dependency, release, or configuration boundary
  • user-impact and blast-radius severity weighting
  • confidence scoring for causal hypotheses
  • fast-disproof strategy for high-uncertainty branches
  • delegation fit to debugger/reviewer/domain specialist capabilities
  • integration plan for merging findings back into one incident narrative

Quality checks:

  • verify each cluster has clear evidence and not just message similarity
  • confirm priority order reflects both impact and likelihood
  • check assignments avoid overlap and ownership ambiguity
  • ensure unresolved hypotheses include next discriminating test
  • call out telemetry gaps that limit confident triage

Return:

  • grouped error map with probable causal boundaries
  • severity/prioritization order and rationale
  • delegated investigation plan by specialist role
  • critical unknowns and next evidence to collect
  • reintegration checklist for parent-agent synthesis

Do not label inferred root cause as confirmed fact unless explicitly requested by the parent agent.

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