Tracks cumulative LLM costs across DAG execution and makes real-time decisions to stay within budget. Downgrades models, skips optional nodes, or stops early when cost exceeds thresholds. Use when managing execution budgets, analyzing cost breakdowns, or optimizing model routing for cost. Activate on "cost budget", "too expensive", "reduce cost", "cost optimization", "model downgrade", "budget exceeded". NOT for LLM model selection logic (use llm-router), pricing comparisons across providers, or billing/invoicing.
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curiositech/windags-skills☆ 16Updated Oct 19, 2026
マルチモデルオーケストレーションとモデル切り替え戦略。スコアベースのモデル選択、クロスエージェント委任(Gemini、Codex、Ollama)、アドバイザーペアリング、エスカレーション条件、権限マトリクス、およびコスト効率の最適化。
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ellmos-ai/skills☆ 8Updated Oct 19, 2026
Orquestación multimodelo y estrategia de cambio de modelos. Selección de modelos basada en puntuación, delegación entre agentes (Gemini, Codex, Ollama), emparejamiento con advisor, disparadores de escalado, matriz de permisos y optimización de eficiencia de costos.
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ellmos-ai/skills☆ 8Updated Oct 19, 2026
Role-based multi-model strategy. The model catalog lives in a local configuration file instead of the skill text -- roles (thinker/decision-maker, long-running worker, draft generator, reviewer/acceptance, escalation), reasoning effort as an independent axis, mandatory review for draft models, provider switching for independent reviews, budgets, delegation flow, and cost/quality of small workers.
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ellmos-ai/skills☆ 8Updated Oct 19, 2026
多模型编排与模型切换策略。基于评分的模型选择、跨 Agent 委派(Gemini、Codex、Ollama)、Advisor 配对、升级触发器、权限矩阵与成本效率优化。
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ellmos-ai/skills☆ 8Updated Oct 19, 2026
Многомодельная оркестрация и стратегия переключения моделей. Выбор моделей на основе оценки (score), делегирование между агентами (Gemini, Codex, Ollama), связывание с advisor, триггеры эскалации, матрица разрешений и оптимизация затрат.
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ellmos-ai/skills☆ 8Updated Oct 19, 2026
Rollenbasierte Multi-Modell-Strategie. Modellkatalog liegt in einer lokalen Konfigurationsdatei statt im Skill-Text -- Rollen (Denker/Entscheider, Dauer-Worker, Entwurfsgenerator, Reviewer/Abnahme, Eskalation), Reasoning-Effort als eigene Achse, Abnahmepflicht für Entwurfsmodelle, Anbieterwechsel für unabhängige Reviews, Kontingente, Delegationsablauf und Kosten/Qualität kleiner Worker.
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ellmos-ai/skills☆ 8Updated Oct 19, 2026
リソース適正サイジング、タグ付け戦略、リザーブドインスタンス、支出分析を通じてクラウドコストを最適化します。クラウド費用削減、インフラコスト分析、コストガバナンスポリシー実装時に使用します。
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amurata/cc-tools☆ 6Updated Nov 28, 2025
Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.
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amurata/cc-tools☆ 6Updated Nov 28, 2025
Use when working with Aws Cost Optimization — aWS native cost optimization using Compute Optimizer, Trusted Advisor cost checks, Savings Plan analysis, Cost Explorer, and resource rightsizing. Covers EC2 rightsizing, idle resource detection, Savings Plan and Reserved Instance recommendations, and cost anomaly detection. Use when optimizing AWS infrastructure costs with native AWS tools.
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cloudthinker-ai/CloudSkills☆ 6Updated Apr 5, 2026
Expert en optimisation des coûts cloud (AWS cost, reserved instances, spot, rightsizing, FinOps)
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ziri22/agency-roster☆ 6Updated Jul 1, 2026
Expert en cloud v2 (AWS, GCP, Azure, multi-cloud, optimisation coûts, contexte DZ)
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ziri22/agency-roster☆ 6Updated Jul 1, 2026
Expert en infrastructure AWS (EC2, S3, Lambda, ECS, RDS, CloudFormation, cost optimization)
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ziri22/agency-roster☆ 6Updated Jul 1, 2026
Expert en infrastructure Azure (AKS, Functions, Cosmos DB, AD, ARM templates, cost optimization)
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ziri22/agency-roster☆ 6Updated Jul 1, 2026
Expert en optimisation des coûts d'agents IA (sélection modèle, caching, compression prompts, budgeting tokens)
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ziri22/agency-roster☆ 6Updated Jul 1, 2026
Warehouse cost reduction, auto-scaling, query optimization, and lifecycle policies for data infrastructure. Activate on: data cost, warehouse credits, cost reduction, auto-scaling, lifecycle policy, cold storage, cost monitoring, resource optimization. NOT for: query performance tuning (use data-warehouse-optimizer), batch job optimization (use batch-processing-optimizer).
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curiositech/port-daddy☆ 3Updated Oct 19, 2026
Tracks cumulative LLM costs across DAG execution and makes real-time decisions to stay within budget. Downgrades models, skips optional nodes, or stops early when cost exceeds thresholds. Use when managing execution budgets, analyzing cost breakdowns, or optimizing model routing for cost. Activate on "cost budget", "too expensive", "reduce cost", "cost optimization", "model downgrade", "budget exceeded". NOT for LLM model selection logic (use llm-router), pricing comparisons across providers, or billing/invoicing.
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curiositech/port-daddy☆ 3Updated Oct 19, 2026