Blockchain

Calculate cryptographic hashes (MD5, SHA1, SHA256, SHA512) for text and files. Compare hashes, verify integrity, and batch process directories.

Design and implement domain entities, DTOs, and data transfer objects following the project's domain-driven design patterns. Use this skill when creating or modifying domain entity classes in shared/domain/, DTO classes in features/{feature}/dto/, entity mappers in shared/mapper/, or shared type interfaces in packages/shared/types/src/dto/. This includes implementing the static factory pattern (Entity.create()), writing DTO validation decorators (class-validator), creating response DTOs with static from() methods, and defining shared interfaces that API DTOs must implement. Apply when working with @imkdw-dev/types package interfaces, ArticleContent value objects, or any file ending in .dto.ts, domain entities, or mapper classes.

Build video conferencing integrations using Digital Samba's API and SDK. Use when creating meeting rooms, embedding video calls, generating participant tokens, managing recordings, or integrating real-time collaboration features. Triggers include "Digital Samba", "video conferencing API", "embed video calls", "meeting room integration", "WebRTC iframe", "participant tokens".

Apply when implementing API authentication: JWT tokens, session management, API keys, and auth middleware. Follows JWT Best Current Practices (RFC 8725).

Node.js platform functions for the East language. Use when writing East programs that need Console I/O, FileSystem operations, HTTP Fetch requests, Cryptography, Time operations, Path manipulation, Random number generation, or Testing. Triggers for: (1) Writing East programs with @elaraai/east-node-std, (2) Using platform functions like Console.log, FileSystem.readFile, Fetch.get, Crypto.uuid, Time.now, Path.join, Random.normal, (3) Testing East code with describeEast and Assert.

Conduct systematic trade study analyses using the DAU 9-Step Trade Study Process. Guides engineers through problem definition, root cause analysis (5 Whys, Fishbone), data collection from alternatives and datasheets, normalization calculations, weighted scoring, sensitivity analysis, and professional report generation with visualizations and decision matrices. Use when evaluating alternatives, comparing solutions, conducting trade-offs, or making engineering decisions.

Provides comprehensive project folder structure design guidelines and best practices. Defines standard directory organizations for diverse project types including monorepos, web frameworks, backend services, libraries, and extensions. Ensures scalable, maintainable architecture through consistent file organization patterns. Specializes in separation of concerns, modular architecture, and tooling integration.Use when: designing new project structures, organizing monorepo workspaces with tools like Turborepo/Nx, structuring NestJS backend projects, organizing React/Next.js frontend applications, designing Go service architectures, creating NPM package structures, organizing VSCode extension projects, structuring Chrome extension codebases, planning directory hierarchies, migrating legacy project structures, or establishing code organization conventions for teams.

Resonant state mapping and stability checks for Dense-State Logic v1, including phase-wrapped token mapping, telemetry-biased resonance scoring, and intent integrity drift verification. Use when implementing or validating temporal formalism, resonance gating, or dense state kernels.

Managing context window, token optimization, summarization strategies for long conversations.

Defines accessibility requirements for UI elements including semantic markup, ARIA attributes, focus management, and screen reader support. Updates the "アクセシビリティ" section in screen spec.md.

Security fix patterns for cryptographic vulnerabilities (weak algorithms, insecure randomness, TLS issues). Provides language-specific secure implementations.

"Use Gemini CLI when processing images, PDFs, large files, needing 1M+ token context, or requiring Gemini's strong reasoning and fine-grained domain knowledge.

Frontend-backend API contracts, routes, clients, and type definitions.Handles API endpoint definitions, request/response types, route configuration, and cross-stack integration.Use when working with API endpoints, request/response types, route definitions, or frontend-backend integration,or when user mentions API design, adding endpoints, type mismatches, API contracts, REST endpoints,client integration, "404 Not Found" errors, "Type error" in API calls, or route configuration issues.

Enforces Head Shakers Cloudinary media conventions when working with image uploads, URL generation, transformations, social sharing images, and photo management components. This skill covers the complete media workflow including CloudinaryService operations, URL utilities, CldImage/CldUploadWidget components, path organization, type definitions, and Sentry integration.

Use this skill when creating or refining Claude Code skill definitions. Skills are model-invoked capabilities that Claude activates autonomously based on context. Helps design focused skills with discovery-optimized descriptions, proper directory structures, and supporting resources. Automatically invoked when user requests "create a skill", "make a capability", "add autonomous behavior", or mentions skill development. Ensures skills follow Anthropic specifications with clear activation triggers.

IntelliFill authentication flow patterns using Supabase Auth, JWT tokens, and backend auth mode

Add bot protection with Turnstile (CAPTCHA alternative). Use when: protecting forms, securing login/signup, preventing spam, migrating from reCAPTCHA, integrating with React/Next.js/Hono, implementing E2E tests, or debugging CSP errors, token validation failures, or error codes 100*/300*/600*.

LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.

Build RAG systems, semantic search, and document clustering with Gemini embeddings API (gemini-embedding-001). Generate 768-3072 dimension embeddings for vector search, integrate with Cloudflare Vectorize, and use 8 task types (RETRIEVAL_QUERY, RETRIEVAL_DOCUMENT, SEMANTIC_SIMILARITY) for optimized retrieval.Use when: implementing vector search with Google embeddings, building retrieval-augmented generation systems, creating semantic search features, clustering documents by meaning, integrating embeddings with Cloudflare Vectorize, optimizing dimension sizes (128-3072), or troubleshooting dimension mismatch errors, incorrect task type selections, rate limit issues (100 RPM free tier), vector normalization mistakes, or text truncation errors (2,048 token limit).

Apply Domain-Driven Design patterns. Use when modeling complex business domains, defining bounded contexts, or designing aggregates. Covers entities, value objects, and repositories.