skill-discovery-chaining
Discover relevant skills for tasks, analyze skill compatibility, chain skills together, handle skill failures, and optimize skill sequences
Discover Blockchain skills, compare source repositories and read the instructions for each workflow.
Discover relevant skills for tasks, analyze skill compatibility, chain skills together, handle skill failures, and optimize skill sequences
Use when transitioning AI pilots to enterprise deployment. Use after successful pilot. Produces scaling plan, readiness assessment, and rollout strategy.
Use when performing Terraform state surgery - state mv, import, rm operations. Requires extra safety measures.
Implement carbon-aware computing, energy-efficient AI inference, and ESG-compliant infrastructure to reduce carbon footprint while maintaining performance and meeting sustainability regulations.
Use when working with AWS CLI, credentials, S3, EC2, Lambda, or other AWS services. Contains account config and IAM guidance.
See the main Cloud Cost Models skill for comprehensive coverage of cost modeling and pricing strategies.
Use when detecting infrastructure drift between Terraform state and actual AWS resources. Identifies out-of-band changes.
See the main Infrastructure Sizing skill for comprehensive coverage of right-sizing and autoscaling strategies.
Strategies for reducing cloud storage costs and minimizing expensive data transfer (egress) fees.
Designing and implementing multi-cloud IoT infrastructure for redundancy, compliance, and optimization
Handling the complete lifecycle of IoT devices from registration to decommissioning, including device twins, OTA updates, provisioning, and AWS IoT Core integration.
Distributing video content globally using Content Delivery Networks (CDNs) like CloudFront and Cloudflare for fast, reliable delivery with optimization strategies and caching.
Execute amplihack work on remote Azure VMs with automatic region and resource selection
Use when analyzing terraform/tofu plan output for risks, security issues, and potential service disruptions. Required before any apply operation.
Use when managing AI/ML models in production. Use after model deployed. Produces model registry entries, drift detection schedules, retraining triggers, and version management workflows.
Infrastructure: Docker, Kubernetes, Terraform, AWS/GCP, IaC, containerization.
Polibaseの開発ワークフローとパターンを説明します。Docker-first開発、環境変数管理、新機能追加手順など、日常的な開発作業のベストプラクティスをカバーします。
Bronze Layer(LLM抽出ログ層)とGold Layer(確定データ層)の2層アーキテクチャ設計。LLM抽出結果の履歴管理と人間修正の保護を実現。抽出処理の実装、ExtractionLogの使用、is_manually_verifiedフラグの扱いに関するガイダ...
Polibaseのプロジェクト規約とベストプラクティスを説明します。Pre-commit hooks遵守、CI/CD運用、中間ファイル管理、知識蓄積層の活用など、開発時に守るべきルールとガイドラインをカバーします。
Provides quick reference for BI Dashboard (Plotly Dash) commands and operations. Activates when user asks how to run, test, or verify the BI Dashboard. Includes startup, shutdown, verification, and troubleshoot...
Provides quick reference for all Sagebase CLI commands and Docker operations. Activates when user asks how to run application, test, format code, manage database, or execute any Sagebase operation. Includes jus...
Verifies code follows Clean Architecture principles in Polibase. Activates when creating or modifying src/domain, src/application, src/infrastructure, or src/interfaces files. Checks dependency rules, entity in...
実装計画を作成する際にtmp/配下にファイルを配置するようガイドします。docs/への不要なドキュメント生成を防ぎ、一時的な計画ファイルを適切に管理します。
ローカルGitブランチを分析し、安全にクリーンアップします。マージ状態、古さ、リモート追跡状況によってブランチを分類し、削除すべきブランチを特定します。ユーザーが「ブランチを整理」「古いブランチを削除」と依頼した...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.