Blockchain

Expert guidance for OpenSSL operations including certificate generation, key management, CSR creation, certificate verification, encryption, and PKI operations. Use this when working with SSL/TLS certificates, cryptographic keys, or PKI infrastructure.

Maps data flows from UI components to the database, including the Design Token system.

Master AI, machine learning, LLMs, prompt engineering, and blockchain development. Use when building AI applications, working with LLMs, or developing smart contracts.

Fast semantic code navigation via LSP. Load FIRST before ANY code task - even 'simple' ones. Trigger scenarios: (1) fixing lint/type/pyright/mypy warnings or errors, (2) fixing reportAny/reportUnknownType/Any type errors, (3) adding type annotations, (4) refactoring or modifying code, (5) finding where a function/class/symbol is defined, (6) finding where a symbol is used/referenced/imported, (7) understanding what a function calls or what calls it, (8) exploring unfamiliar code or understanding architecture, (9) renaming symbols across codebase, (10) finding interface/protocol implementations, (11) ANY task where you'd use ripgrep to find code or read-file to view a function. Use `leta show SYMBOL` instead of read-file, `leta refs SYMBOL` instead of ripgrep for usages, `leta grep PATTERN` instead of ripgrep for definitions, `leta files` instead of list-directory.

Design tokens system using CSS Custom Properties for consistent styling. Use for creating color palettes, spacing scales, typography systems, and theming (dark/light mode). Triggers on requests for design tokens, CSS variables, theming, color systems, spacing scales, or consistent styling.

Verify code maps against type definitions. Catches type mismatches, wrongarguments, and missing imports BEFORE generating actual code. This is thefast-feedback loop that prevents broken code generation.

Guide for using code execution capabilities to perform parallel batch processing, conditional filtering, and data aggregation. This skill should be used when agents need to analyze multiple files efficiently, validate large result sets, aggregate data from multiple sources, or reduce token consumption through execution-based filtering. Provides reusable templates for quota-aware workflows, error handling patterns, and token-efficient data processing.

This skill builds complete authentication flows (JWT, OAuth, session-based) with security best practices.Supports Python (FastAPI, Flask), Node.js/Bun (Hono, Express), and includes registration, login, logout, refresh tokens, password reset.Implements bcrypt/argon2 hashing, JWT signing/verification, session management, CSRF protection, rate limiting.Activate when user says "add authentication", "build login", "JWT auth", "OAuth integration", or needs secure auth.Output: Complete auth system with endpoints, middleware, security, tests, and documentation.

Build with OpenAI's stateless APIs - Chat Completions (GPT-5, GPT-4o), Embeddings, Images (DALL-E 3), Audio (Whisper + TTS), and Moderation. Includes Node.js SDK and fetch-based approaches for Cloudflare Workers.Use when: implementing chat completions with GPT-5/GPT-4o, streaming responses with SSE, using function calling/tools, creating structured outputs with JSON schemas, generating embeddings for RAG (text-embedding-3-small/large), generating images with DALL-E 3, editing images with GPT-Image-1, transcribing audio with Whisper, synthesizing speech with TTS (11 voices), moderating content (11 safety categories), or troubleshooting rate limits (429), invalid API keys (401), function calling failures, streaming parse errors, embeddings dimension mismatches, or token limit exceeded.

Compare specific named alternatives by mapping what you gain and lose with each choice across user-defined dimensions. Use when: (1) asked "which option should I choose" between 2-5 specific alternatives like technical approaches or vendor choices, (2) each alternative has distinct advantages and disadvantages that need explicit comparison, (3) the decision depends on which trade-offs the user is willing to accept, (4) presenting options without making the recommendation, letting trade-off clarity guide the choice

Target configuration for code generation. Defines deployment choices:API style, persistence, events, topology, language, standardization.Use when: starting new system, changing deployment targets, understandinggeneration options. These are CHOICES, not categorical structure.

This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.

Expert guidance for Drizzle ORM including schema definition, queries, relations, migrations, TypeScript integration with SQLite/PostgreSQL, and Drizzle Studio. Use this when working with type-safe database operations, schema management, or ORM queries.

Detect and mask PII (names, emails, phones, SSN, addresses) in text and CSV files. Multiple masking strategies with reversible tokenization option.

This skill should be used when working with TypeScript code, including type definitions, type inference, generics, utility types, and TypeScript configuration. Provides comprehensive knowledge of TypeScript patterns, best practices, and advanced type system features.

Use this skill for multi-step development tasks. Latent Chain Mode reduces token usage by 70-80% through hidden-state reasoning with 4-phase workflow: analysis → plan → impl → review.

[Aesthetics] Defines temporal aesthetics: speed, acceleration habits, tempo, static vs dynamic balance, motion weight and inertia. Produces Motion Bible as Memo nodes in Brain canvas.

Create route definitions for HTTP endpoints. Use when wiring controllers and middleware to HTTP routes. Triggers on "create routes", "router for", "route definitions".

Design and implement database schemas using SQLModel with sync and async patterns. Use this skill when creating database models, setting up Neon PostgreSQL connections, defining relationships (one-to-many, many-to-many), implementing FastAPI dependency injection, or migrating schemas. Covers both sync Session and async AsyncSession patterns.

Copilot agent that assists with requirements analysis, user story creation, specification definition, and acceptance criteria definitionTrigger terms: requirements, EARS format, user stories, functional requirements, non-functional requirements, SRS, requirement analysis, specification, acceptance criteria, requirement validationUse when: User requests involve requirements analyst tasks.