Blockchain

Enforces functional TypeScript patterns with Effect ecosystem. Use when (1) writing TypeScript functions or modules, (2) defining types or schemas, (3) handling errors or async operations, (4) structuring files with section separators, or (5) creating factories, dispatch tables, or Effect pipelines.

Enforce governance, approvals, and safety boundaries for autonomous actions; use when asked to define or apply guardrails.

Defines unit testing standards for the Sigil project. Applies when writing tests, reviewing test code, creating fixtures or mocks, or answering questions about testing conventions. Covers test structure, fixtures, mocks, assertions, table tests, and type safety in tests.

This skill should be used when the GM needs to handle Daggerheart combat, including action roll resolution, Hope/Fear token economy, spotlight flow, damage tracking, reaction rolls, and managing combat encounters. Provides action outcome tables, encounter tracking templates, and condition references.

Analyzes long call butterfly spreads with 3 strikes and 4 legs for neutral outlook. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting minimal price movement, want low-cost defined-risk strategy, analyzing pinning opportunities, or evaluating tight-range neutral positions on stocks near technical levels.

Enforces Head Shakers database schema conventions when creating or modifying Drizzle ORM table definitions, including constraints, indexes, relations, and column patterns. This skill should be used proactively whenever working with schema files to ensure consistent schema design for PostgreSQL with Neon serverless.

[Code Quality] Establishes test coverage requirements before refactoring. Use to identify missing tests, create minimal safety net tests, and define verification strategy for behavior preservation.

Deploy Feels Protocol programs to Solana devnet and mainnet using authenticated RPC endpoints with environment-based configuration and verification

Build and maintain design systems. Use when creating component libraries, design tokens, or style guides. Covers atomic design and tokens.

Generates SHANNON_INDEX for 94% token reduction (58K → 3K tokens). Compresses large codebases into structured summaries with Quick Stats, Tech Stack, Core Modules, Dependencies, Recent Changes, and Key Patterns. Enables fast agent onboarding, efficient multi-agent coordination, and instant context switching. Use when: starting project analysis, onboarding new agents, coordinating waves, switching between codebases, or when context window efficiency is critical.

5-check quantitative validation ensuring 90% confidence before implementation. Prevents wrong-direction work through systematic verification: duplicate check (25%), architecture compliance (25%), official docs (20%), working OSS (15%), root cause (15%). Thresholds: ≥90% proceed, ≥70% clarify, <70% STOP. Proven 25-250x token ROI from SuperClaude.

Manifest schema definitions for all LeanOS artifacts. Reference skill forvalidating manifest structure, understanding artifact formats, checkingcross-references. Use when: validating outputs, debugging schema issues,understanding data flow between skills.

MoAI-ADK's foundational principles - TRUST 5, SPEC-First TDD, delegation patterns, token optimization, progressive disclosure, modular architecture, agent catalog, command reference, and execution rules for building AI-powered development workflows

Master NFT development with token standards, metadata, marketplaces, and on-chain art

Token-efficient library API documentation fetcher using Context7 MCP with 77% token savings. Fetches code examples, API references, and usage patterns for published libraries (React, Next.js, Prisma, etc). Use when users ask "how do I use X library", need code examples, want API syntax, or are learning a framework's official API. Triggers: "Show me React hooks", "Prisma query syntax", "Next.js routing API". NOT for exploring repo internals/source code (use researching-with-deepwiki) or local files.

Use when GitHub issue lacks scope, has ambiguities, or needs technical definition - researches codebase, identifies gaps, presents options with recommendations, updates issue description (project, gitignored)

Defines behavior protocol for spawned worker agents. Injected into worker prompts. Covers startup, progress reporting, exit conditions, and handover preparation.

Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens. | Sử dụng khi: AI, LLM, vision, embedding, phân tích hình ảnh, Gemini API.

Generate ROS 2 custom message (.msg) and service (.srv) interface definitions for educational content. This skill should be used when creating lessons that teach interface design, writing exercises involving custom data types, or generating worked examples for robotics communication protocols.

Dynamically scale model token budgets using resource telemetry, prompt size, and profile presets. Use when token limits must adapt to hardware constraints, per-request size, or safe/fast/quality modes.