Business

Generate custom Claude Code slash commands through intelligent 5-7 question flow. Creates powerful commands for business research, content analysis, healthcare compliance, API integration, documentation automation, and workflow optimization. Outputs organized commands to generated-commands/ with validation and installation guidance.

Analyzes social media campaign performance across platforms with engagement metrics, ROI calculations, and audience insights for data-driven marketing decisions

Build, sign, and prepare Android APK and AAB for release. Handles version bumping, building, zipalign (APK), and signing with JKS keystore. Outputs DecentPaste_x.x.x.apk for GitHub releases and signed AAB for Play Console.

Implements authentication and payment features using Clerk, Supabase Auth, or Stripe. Use when user mentions ログイン, 認証, auth, authentication, Clerk, Supabase, 決済, payment, Stripe, 課金, サブスクリプション. Do NOT load for: 一般的なUI作成, データベース設計, 非認証機能.

Sets up deployment, analytics, and health monitoring for projects. Use when user mentions デプロイ, deploy, Vercel, Netlify, 公開, アナリティクス, analytics, GA, Google Analytics, 環境診断, health check. Do NOT load for: 実装作業, ローカル開発, レビュー, セットアップ.

Functional Core, Imperative Shell: isolate deterministic logic from side effects for testability. Triggers: functional core, imperative shell, pure functions, testability Use when: business logic is entangled with I/O or tests are brittle DO NOT use when: simple scripting without complex logic.

Spatial indexing and retrieval system for finding information within memory palaces using multi-modal search. Triggers: knowledge search, find information, locate concept, recall, spatial query, cross-reference, discovery, memory retrieval, pr review search, past decisions, review patterns Use when: searching for stored knowledge, cross-referencing concepts, discovering connections, retrieving from palaces, finding past PR decisions DO NOT use when: creating new palace structures - use memory-palace-architect. DO NOT use when: processing new external resources - use knowledge-intake. Consult this skill when searching or navigating stored knowledge.

Session-aware usage logging for audit trails, cost tracking, and analytics with JSONL format. Triggers: usage logging, audit trails, cost tracking, session logging, analytics, structured logging, JSONL Use when: implementing audit trails, tracking costs, collecting usage analytics, managing session logging DO NOT use when: simple operations without logging needs. Consult this skill when implementing usage logging and audit trails.

Employ the Hexagonal (Ports & Adapters) pattern to decouple domain logic from infrastructure, maximizing flexibility and testability. Triggers: hexagonal architecture, ports and adapters, infrastructure independence, dependency inversion, clean architecture, domain isolation, adapter pattern, infrastructure abstraction, database independence, framework independence Use when: designing systems with strong business logic separation, anticipating infrastructure changes, needing easy mocking for tests, building portable domain code DO NOT use when: selecting from multiple paradigms - use architecture-paradigms first. DO NOT use when: building simple CRUD apps without complex domain logic. Consult this skill when implementing hexagonal patterns or migrating to port-based design.

Decompose systems into a suite of small, independently deployable services aligned to specific business capabilities. Triggers: microservices, service decomposition, independent deployment, team autonomy, distributed system, API gateway, service mesh, bounded contexts, polyglot persistence Use when: teams need high autonomy and independent releases, different capabilities have distinct scaling needs, strong DevOps/SRE maturity exists, polyglot tech stacks needed DO NOT use when: selecting from multiple paradigms - use architecture-paradigms first. DO NOT use when: small team with low organizational complexity. DO NOT use when: lack of DevOps maturity or limited platform engineering resources. DO NOT use when: strong transactional consistency required across operations. Consult this skill when designing or evolving microservices architectures.

Competence in data analytics and machine learning, enabling developers to build data-driven features and integrate AI/ML capabilities.

Creates compressed ZIP backups of libraries directory. Backs up library.yaml, transcripts, and roughcuts (not video files). This skill can also be useful when you need to restore a library.

Generate images using Nano Banana Pro (Gemini 3 Pro Preview). Use when creating app icons, logos, UI graphics, marketing banners, social media images, illustrations, diagrams, or any visual assets. Supports reference images for style transfer and character consistency. Triggers include phrases like 'generate an image', 'create a graphic', 'make an icon', 'design a logo', 'create a banner', 'same style as', 'keep the style', or any request needing visual content.

Write focused tests for core user flows and critical paths with clear test names, behavior-focused assertions, mocked external dependencies, and fast execution, deferring edge case testing until explicitly required. Use this skill when creating or modifying test files, writing unit tests, integration tests, or test cases for any feature. Apply when writing test files (test/, __tests__/, spec/, .test.js, .spec.ts, test_*.py), implementing tests for core user workflows, testing critical business logic, mocking external dependencies (databases, APIs, file systems), writing descriptive test names, creating fast-running unit tests, or adding tests at logical completion points of feature development. Use for any task involving test creation, test coverage, test strategy, or test-driven development.

Implement comprehensive validation with server-side enforcement, client-side UX feedback, early failure, specific error messages, allowlists over blocklists, type checking, input sanitization, and consistent validation across all entry points. Use this skill when implementing validation logic in forms, API endpoints, data models, user inputs, or any data processing. Apply when validating form inputs, API request parameters, database model fields, implementing client-side validation for user experience, enforcing server-side validation for security, sanitizing user input to prevent injection attacks, checking data types and formats, validating business rules, or providing field-specific error messages. Use for any task involving input validation, data integrity checks, security validation, or user input processing.

Use when implementing Stripe webhook endpoints and getting 'Raw body not available' or signature verification errors - provides raw body parsing solutions and subscription period field fixes across frameworks

Apply rigorous test-driven development methodology following the Red-Green-Refactor cycle (write failing test, implement minimal code to pass, refactor while staying green) that ensures tests genuinely verify behavior by requiring observed failure before implementation, preventing untested code and false-positive tests. Use this skill when implementing any new feature or functionality in any programming language, when fixing bugs or resolving defects in existing code, when refactoring code to improve design while preserving behavior, when adding new methods, functions, classes, or modules to a codebase, when modifying existing behavior or business logic, when writing code in any file that will be executed in production environments, when creating API endpoints, service methods, or controller actions, when implementing data validation, transformation, or processing logic, when building user interface components with testable behavior, when writing algorithms, calculations, or business rules, when integrating w

Generate safe, read-only PostgreSQL queries from natural language. Use when users need to query blog_small, ecommerce_medium, or saas_crm_large databases. Supports query generation, execution, and result analysis with confidence scoring.

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.