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agent-usage-optimizer-keyword-route-classification

vamseeachanta
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À propos

Cette compétence de Claude classe les tâches de développement dans des circuits de traitement spécifiques (A, B, C, Traitement par lots, Contexte étendu) en fonction des mots-clés dans la requête de l'utilisateur. Elle aide à optimiser l'utilisation des agents en acheminant de manière appropriée les tâches simples, les implémentations standard, les travaux d'architecture complexes, les opérations en masse et les travaux nécessitant un large contexte. Les développeurs l'utilisent pour garantir que leurs requêtes sont traitées par l'agent le plus adapté, disposant du périmètre et des ressources appropriés.

Installation rapide

Claude Code

Recommandé
Principal
npx skills add vamseeachanta/workspace-hub
Commande PluginAlternatif
/plugin add https://github.com/vamseeachanta/workspace-hub
Git CloneAlternatif
git clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/agent-usage-optimizer-keyword-route-classification

Copiez et collez cette commande dans Claude Code pour installer cette compétence

Documentation

Keyword → Route classification

Keyword → Route classification

Compound / Route C keywords:
  architecture, design, system, multi-file, refactor, security review,
  cross-repo, orchestrat, compound, plan, spec

Standard / Route B keywords:
  implement, feature, review, documentation, test, bug, fix, config,
  update, migrate, integration

Simple / Route A keywords:
  generate, scaffold, unit test, snippet, function, debug, format,
  check, validate, search, grep

Bulk keywords:
  summarise, summarize, batch, bulk, all files, across repos, report

Long-context keywords:
  large file, full repo, 1000 lines, entire codebase, cross-repo scan

Output format for ad-hoc recommendation:

Task: "implement OAuth login for the API"
Route: B (Standard)

  Primary:    Claude Sonnet  [quota: <CLAUDE>% — OK]
  Secondary:  Codex          [quota: <CODEX>%  — OK]

  Rationale: Standard feature implementation with moderate complexity.
             Sonnet provides quality output within quota headroom.
             Codex is secondary for focused function-level generation.

Dépôt GitHub

vamseeachanta/workspace-hub
Chemin: .claude/skills/ai/agent-usage-optimizer/keyword-route-classification

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