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.

Voir la source

Mode d’emploi

  1. Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
  2. Consultez le document original pour les outils, identifiants et environnements requis.
  3. Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/jshsakura/awesome-opencode-skills --skill error-coordinator

Avant de commencer

  • L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
  • Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Document Skill original

Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.

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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