MCP HubMCP Hub
Zurück zu Fähigkeiten

agent-usage-optimizer-complexity-tier-model-mapping

vamseeachanta
Aktualisiert Today
61 Ansichten
3
2
3
Auf GitHub ansehen
Anderegeneral

Über

Diese Fähigkeit bietet eine Modellauswahlhilfe basierend auf der Aufgabenkomplexität, die Routineaufgaben Haiku, Standardaufgaben Sonnet und komplexe Aufgaben Opus zuordnet. Sie hilft Entwicklern, Kosten zu optimieren, indem einfachere Aufgaben zu günstigeren Modellen geleitet werden, während leistungsstarke Modelle für anspruchsvolle Arbeiten reserviert bleiben. Nutzen Sie sie zusammen mit Routenzuordnungen, wenn die Aufgabennatur klar ist, um die Lücke zwischen theoretischer und beobachteter Implementierungseffizienz zu schließen.

Schnellinstallation

Claude Code

Empfohlen
Primär
npx skills add vamseeachanta/workspace-hub
Plugin-BefehlAlternativ
/plugin add https://github.com/vamseeachanta/workspace-hub
Git CloneAlternativ
git clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/agent-usage-optimizer-complexity-tier-model-mapping

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren

Dokumentation

Complexity Tier → Model Mapping

Complexity Tier → Model Mapping

Use this alongside Route mapping when task nature is clear:

Complexity tierKeywordsRecommended model
routineformat, rename, config, scaffold, update-doc, copyClaude Haiku
standardimplement, review, test, fix, migrate, documentClaude Sonnet
complexarchitecture, design, cross-repo, security, compoundClaude Opus

Key insight: the gap between theoretical and observed exposure is an implementation gap — not a capability gap. Routing routine tasks to cheaper models closes this gap for our workflow. See WRK-5002 to automate tier detection in task_classifier.sh.


Use this skill before any multi-item work session or when quota is a concern. Related: ai/optimization/model-selection, ai/optimization/usage-optimization

GitHub Repository

vamseeachanta/workspace-hub
Pfad: .claude/skills/ai/agent-usage-optimizer/complexity-tier-model-mapping

Verwandte Skills

algorithmic-art

Meta

This Claude Skill creates original algorithmic art using p5.js with seeded randomness and interactive parameters. It generates .md files for algorithmic philosophies, plus .html and .js files for interactive generative art implementations. Use it when developers need to create flow fields, particle systems, or other computational art while avoiding copyright issues.

Skill ansehen

subagent-driven-development

Entwicklung

This skill executes implementation plans by dispatching a fresh subagent for each independent task, with code review between tasks. It enables fast iteration while maintaining quality gates through this review process. Use it when working on mostly independent tasks within the same session to ensure continuous progress with built-in quality checks.

Skill ansehen

executing-plans

Design

Use the executing-plans skill when you have a complete implementation plan to execute in controlled batches with review checkpoints. It loads and critically reviews the plan, then executes tasks in small batches (default 3 tasks) while reporting progress between each batch for architect review. This ensures systematic implementation with built-in quality control checkpoints.

Skill ansehen

cost-optimization

Andere

This Claude Skill helps developers optimize cloud costs through resource rightsizing, tagging strategies, and spending analysis. It provides a framework for reducing cloud expenses and implementing cost governance across AWS, Azure, and GCP. Use it when you need to analyze infrastructure costs, right-size resources, or meet budget constraints.

Skill ansehen