Browse Skills

authentication-flows.md

2

1 export authentication-flows

2 from "daishiman/AIWorkflowOrchestrator"

3 API Key、JWT、OAuth 2.0、mTLS などの認証方式を比較し、適切なフロー設計と実装方針を整理するスキル。方式選定、トークン管理、署名戦略、セキュリティ対策を一貫して設計します。Anchors:• Web Application Security / 適用: 脅威整理 / 目的: 認証フローのリスク把握• OWASP Authentication Cheat Sheet / 適用: 実装ベストプラクティス / 目的: 安全な実装指針• RFC 6749 & RFC 7519 / 適用: OAuth/JWT仕様 / 目的: 標準準拠の設計Trigger:Use when selecting authentication flows (API Key/JWT/OAuth/mTLS), designing token strategy, or validating auth configuration.

2026-01-05

tdd-principles.md

2

1 export tdd-principles

2 from "daishiman/AIWorkflowOrchestrator"

3 テストファーストで仕様を定義し、Red-Green-Refactorを小さなステップで回すためのスキル。設計の創発とレガシー対応まで含めて、テスト駆動開発の実務判断を支援する。Anchors:• Test-Driven Development: By Example / 適用: TDDサイクル / 目的: 仕様の明確化• xUnit Test Patterns / 適用: テスト設計 / 目的: 表現の一貫性• Working Effectively with Legacy Code / 適用: レガシー適用 / 目的: 安全な変更Trigger:Use when planning or executing test-driven development, defining test-first strategy, or reviewing red-green-refactor quality.TDD, test-first, red-green-refactor, small steps, refactoring

2026-01-05

modeling-nosql-data.md

2

1 export modeling-nosql-data

2 from "jeremylongshore/claude-code-plugins-nixtla"

3 This skill enables Claude to design NoSQL data models. It activates when the user requests assistance with NoSQL database design, including schema creation, data modeling for MongoDB or DynamoDB, or defining document structures. Use this skill when the user mentions "NoSQL data model", "design MongoDB schema", "create DynamoDB table", or similar phrases related to NoSQL database architecture. It assists in understanding NoSQL modeling principles like embedding vs. referencing, access pattern optimization, and sharding key selection.

2026-01-05

command-development.md

2

1 export command-development

2 from "OshanKHZ/oshankhz-claude-code"

3 This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.

2026-01-05

background-jobs-designer.md

2

1 export background-jobs-designer

2 from "patricio0312rev/skillset"

3 Designs background job processing systems with queue integration (BullMQ/Celery), job definitions, retry policies, exponential backoff, idempotent execution, and monitoring hooks. Use when implementing "background jobs", "task queues", "async processing", or "job workers".

2026-01-05

command-naming-conventions.md

2

1 export command-naming-conventions

2 from "daishiman/AIWorkflowOrchestrator"

3 コマンド命名規則（動詞ベース命名/kebab-case/名前空間/発見可能性）を整理し、一貫した命名設計と見直しを支援するスキル。命名ルール、チェックリスト運用、検証手順を一貫して整理する。Anchors:• The Pragmatic Programmer (Andrew Hunt, David Thomas) / 適用: 命名規則の一貫性 / 目的: 実践的な命名の安定化• Clean Code (Robert C. Martin) / 適用: 意図が伝わる命名 / 目的: 自己説明性の向上Trigger:Use when defining command naming conventions, reviewing naming consistency, or designing namespace structures.command naming, kebab-case, verb-based naming, namespace design, discoverability

2026-01-05

validating-performance-budgets.md

2

1 export validating-performance-budgets

2 from "jeremylongshore/claude-code-plugins-nixtla"

3 This skill enables Claude to validate application performance against defined budgets. It's useful for identifying performance regressions early in the development lifecycle. The skill is triggered when the user mentions "performance budget", "validate budget", "performance regression", or requests a check against performance metrics like "page load times", "bundle sizes", "API response times", or "Lighthouse scores". The plugin validates against predefined thresholds and alerts on violations. It is especially helpful in CI/CD pipelines to prevent performance degradation in production.

2026-01-05

mcp-server-patterns.md

2

1 export mcp-server-patterns

2 from "daishiman/AIWorkflowOrchestrator"

3 MCPサーバー設計パターンとアーキテクチャベストプラクティス。ツール組織化、エラーハンドリング、状態管理、サーバーライフサイクル管理の実証済みパターンを提供。Anchors:• Clean Architecture / 適用: サーバー構造と依存関係管理 / 目的: テスト可能で保守性の高いコード• Domain-Driven Design / 適用: ツールドメインモデリングと境界付きコンテキスト / 目的: 機能別ツール組織化• Pragmatic Programmer / 適用: エラーハンドリングと回復性パターン / 目的: 堅牢なサーバー構築Trigger:Use when designing MCP server architecture, organizing tool definitions, implementing error handling patterns, managing server state, structuring MCP server projects, or refactoring existing MCP servers.

2026-01-05

datadog-entity-generator.md

2

1 export datadog-entity-generator

2 from "zircote/.claude"

3 Generate exhaustively complete and accurate Datadog Software Catalog entity YAML files (v3 schema) by examining project source code and interviewing engineers. Use when engineers need to create or update entity.datadog.yaml files for services, datastores, queues, APIs, or systems. Triggers include: "create entity yaml", "generate service catalog entry", "document this project in datadog", "create service definition", "add to software catalog", or any request involving Datadog entity/service documentation. Supports all v3 entity kinds: service, datastore, queue, api, system. Fetches existing Datadog data via API. Validates against official JSON schema. Merges with existing definitions. Outputs to .datadog/ directory.

2026-01-05

structured-logging.md

2

1 export structured-logging

2 from "daishiman/AIWorkflowOrchestrator"

3 構造化ログのスキーマ設計、ログレベル設計、PIIマスキング、JSONログ実装を支援するスキル。ログ要件整理から検証までを一貫して整理する。Anchors:• Observability Engineering / 適用: ログ設計 / 目的: 可観測性向上• 12-Factor App / 適用: 構造化ログ / 目的: JSONログ標準化Trigger:Use when designing JSON log schemas, defining log levels, applying PII masking, or improving observability.structured logging, json logs, log schema, log levels, pii masking

2026-01-05

creating-ansible-playbooks.md

2

1 export creating-ansible-playbooks

2 from "jeremylongshore/claude-code-plugins-nixtla"

3 This skill creates Ansible playbooks for automating configuration management tasks. It generates production-ready, multi-platform playbooks based on user-defined requirements, incorporating best practices and a security-first approach. Use this skill when you need to automate server configurations, software deployments, or infrastructure management using Ansible. Trigger this skill by requesting "Ansible playbook," specifying configuration details, or asking for automation of a particular setup.

2026-01-05

session-management.md

2

1 export session-management

2 from "daishiman/AIWorkflowOrchestrator"

3 Claude Codeセッションの状態管理、コンテキスト保持、会話履歴の効率的な運用を支援するスキル。長時間セッションでのコンテキスト消費最適化、セッション再開時の状態復元、マルチタスク切り替え時の状態保存・復元を提供する。Anchors:• The Pragmatic Programmer (Hunt & Thomas) / 適用: 状態管理の原則 / 目的: 効率的なセッション運用• Domain-Driven Design (Evans) / 適用: コンテキスト境界 / 目的: 適切な状態分離• Clean Architecture (Martin) / 適用: 依存関係管理 / 目的: セッション間の独立性確保Trigger:Use when managing Claude Code sessions, preserving context across interactions, or optimizing token usage in long conversations.session management, context preservation, token optimization, session state, conversation history

2026-01-05

orchestrating-test-workflows.md

2

1 export orchestrating-test-workflows

2 from "jeremylongshore/claude-code-plugins-nixtla"

3 This skill enables Claude to orchestrate complex test workflows using the test-orchestrator plugin. It allows Claude to define test execution graphs with dependencies, execute tests in parallel, and intelligently select tests to run based on code changes. Use this skill when a user requests test orchestration, dependency management for tests, parallel test execution, smart test selection, or CI/CD integration for testing. Trigger terms include "orchestrate tests", "test workflow", "parallel testing", "smart test selection", "test dependencies", and "/orchestrate".

2026-01-05

ubiquitous-language.md

2

1 export ubiquitous-language

2 from "daishiman/AIWorkflowOrchestrator"

3 ドメイン駆動設計におけるユビキタス言語の確立と適用を専門とするスキル。ドメインエキスパートと開発者が共有する厳密な語彙体系を構築し、コミュニケーションの齟齬を防ぐ。Anchors:• Domain-Driven Design (Eric Evans) / 適用: ユビキタス言語の原則と実践 / 目的: コードとドメインの一貫性確保• Bounded Context / 適用: コンテキスト境界での用語の意味の違いを管理 / 目的: 用語の曖昧さ排除Trigger:Use when establishing domain terminology, creating glossaries, aligning business and technical vocabulary,extracting terms from requirements, defining ubiquitous language for DDD projects,resolving naming conflicts in code, or maintaining domain vocabulary consistency.

2026-01-05

progressive-disclosure.md

2

1 export progressive-disclosure

2 from "daishiman/AIWorkflowOrchestrator"

3 3層開示モデル（メタデータ→本文→リソース）による段階的な情報提供で、トークン効率と知識スケーラビリティを両立。スキル発動信頼性を最大化し、必要な時に必要な知識だけをロードします。Anchors:• The Pragmatic Programmer (Andrew Hunt, David Thomas) / 適用: 段階的な情報開示と実践的改善 / 目的: トークン効率を維持しながら深い知識を提供• Progressive Disclosure (Jakob Nielsen) / 適用: 認知負荷の最小化 / 目的: UX設計原則のスキルメタデータへの応用• Information Architecture (Louis Rosenfeld) / 適用: 階層的知識組織化 / 目的: 遅延読み込みとインデックス駆動設計Trigger:Use when designing skill metadata, optimizing token usage, implementing progressive disclosure patterns, improving skill activation reliability, organizing knowledge hierarchically, reducing context window consumption, or creating scalable documentation structures.

2026-01-05

testing-guidelines.md

2

1 export testing-guidelines

2 from "tumma72/GMailArchiver"

3 Pytest testing patterns, fixtures, mocking, and coverage for GMailArchiver. Use when writing unit tests, integration tests, creating fixtures, mocking Gmail API, or checking coverage. Triggers on: test, pytest, fixture, mock, coverage, conftest, assert, unit test, integration test.

2026-01-05

requirements-engineering.md

2

1 export requirements-engineering

2 from "daishiman/AIWorkflowOrchestrator"

3 カール・ウィーガーズの要求工学とIEEE 830に基づき、ステークホルダーニーズを抽出し、検証可能な要件に落とし込むための体系的なスキル。スコープ定義、要件抽出、仕様化、品質検証、合意形成までの一貫プロセスを提供する。Anchors:• 『Software Requirements』（Karl Wiegers） / 適用: 要件工学 / 目的: 品質要件の明確化• IEEE 830 / 適用: 要件仕様の構造 / 目的: 一貫したドキュメント化• ISO/IEC 25010 / 適用: 非機能要件分類 / 目的: 品質特性の網羅Trigger:Use when defining system requirements, eliciting stakeholder needs, validating requirement quality, or drafting requirements documents.

2026-01-05

homebrew-cask-authoring.md

2

1 export homebrew-cask-authoring

2 from "connorads/dotfiles"

3 Create, update, validate, and submit Homebrew Casks. Use when the user mentions Homebrew cask/cask, Homebrew/homebrew-cask, adding a new cask, updating a cask, cask token naming, sha256, url verified:, livecheck, zap/uninstall, or when asked to run brew style/audit for a cask.

2026-01-05

optimizing-prompts.md

2

1 export optimizing-prompts

2 from "jeremylongshore/claude-code-plugins-nixtla"

3 This skill optimizes prompts for Large Language Models (LLMs) to reduce token usage, lower costs, and improve performance. It analyzes the prompt, identifies areas for simplification and redundancy removal, and rewrites the prompt to be more concise and effective. It is used when the user wants to reduce LLM costs, improve response speed, or enhance the quality of LLM outputs by optimizing the prompt. Trigger terms include "optimize prompt", "reduce LLM cost", "improve prompt performance", "rewrite prompt", "prompt optimization".

2026-01-05

api-designer.md

2

1 export api-designer

2 from "daffy0208/ai-dev-standards"

3 Design REST and GraphQL APIs. Use when creating backend APIs, defining API contracts, or integrating third-party services. Covers endpoint design, authentication, versioning, documentation, and best practices.

2026-01-05

business-analysis.md

1

1 export business-analysis

2 from "Mharbulous/Listbot.ca"

3 Business analysis skill for requirements gathering, market research, strategic analysis, and project brief creation. Use when users need to (1) Create comprehensive project briefs, (2) Conduct market or competitive analysis, (3) Facilitate brainstorming sessions, (4) Define problems and validate assumptions, (5) Elicit requirements through structured questioning, (6) Create user personas, or (7) Analyze project feasibility and scope

2026-01-05

developing-openai-agents-sdk-agents.md

1

1 export developing-openai-agents-sdk-agents

2 from "mikekelly/developing-openai-agents-sdk-agents"

3 Build, create, debug, review, implement, and optimize agentic AI applications using the OpenAI Agents SDK for TypeScript. Use when creating new agents, defining tools, implementing handoffs between agents, adding guardrails, debugging agent behavior, reviewing agent code, or orchestrating multi-agent systems with the @openai/agents package.

2026-01-05

github-access.md

1

1 export github-access

2 from "lefant/claude-code-plugins"

3 Access GitHub repositories programmatically using gh CLI or REST API. Use this skill when needing to interact with GitHub issues, pull requests, workflows, discussions, or actions. The skill automatically adapts based on available tools (gh CLI or curl) and requires GH_TOKEN for authentication.

2026-01-05

issue-writing.md

1

1 export issue-writing

2 from "jclfocused/claude-agents"

3 Use this skill when writing, reviewing, or discussing issue descriptions, acceptance criteria, or task breakdowns. Ensures consistent, high-quality issue structure that any developer or AI can pick up and execute. Triggers when drafting issues, defining requirements, or when users ask "how should I write this issue?" or "what should the acceptance criteria be?"

2026-01-05