Blockchain

Detect and track design token drift between Figma design systems and code implementations - report-only skill that identifies inconsistencies and creates wrangler issues for resolution

Complete asset management feature for Polkadot dApps using the Assets pallet. Use when user needs fungible token/asset functionality including creating custom tokens, minting tokens to accounts, transferring tokens between accounts, destroying tokens, viewing portfolios, or managing token metadata. Generates production-ready code (~2,200 lines across 15 files) with full lifecycle support (create→mint→transfer→destroy), real-time fee estimation, transaction tracking, and user-friendly error messages. Works with template infrastructure (WalletContext, ConnectionContext, TransactionContext, balance utilities, shared components). Load when user mentions assets, tokens, fungible tokens, token creation, minting, portfolio, or asset pallet.

Define effect types used by morphisms. Creates the effect algebra includingIO, error types, state, and reader effects. Use when: defining error types,specifying effect semantics, building the monad foundation.

Intelligent command verification for documentation. Discovers all commands in markdown files, validates them using git diff-based cache invalidation, and ensures documentation accuracy with zero token cost after initial setup. Use when asked to verify commands, check documentation, or validate command references.

Pipeline contract enforcement for ZINC-Fusion-V15 soybean oil forecasting system. Use when working on any ZINC-Fusion-V15 task involving schema definitions, training pipelines, L0 specialists, data ingestion, MLflow/Dagster configuration, or debugging contract drift. Triggers on mentions of fusion.db, specialist models, horizon encoding, quantile outputs, OOF predictions, or any ZINC-Fusion development work.

Use when implementing Language Server Protocol features - diagnostics, completions, hover, go-to-definition, and editor integration

TOON (Token-Oriented Object Notation) encoding for LLM-efficient data representation. 30-60% token savings vs JSON for structured data.

Create and manage high-quality custom instruction files for GitHub Copilot. Use when you need to define new project-specific guidelines, workflows, or coding standards in the instructions/ directory.

Provides fast, case-insensitive text search across task titles, descriptions, and tags with debounced input, relevance ranking, and highlighted matching text. Uses AND logic for multi-token queries and limits results to top 50 for performance.

Creates unique web designs with brand identity, color palettes, typography, and modern UI/UX patterns. Use for brand identity development, visual design systems, layout composition, and responsive web design. Activate on "web design", "brand identity", "color palette", "UI design", "visual design", "layout". NOT for typography details (use typography-expert), color theory deep-dives (use color-theory-expert), design system tokens (use design-system-creator), or code implementation without design direction.

This skill should be used when creating or updating PROJECT.md files, planning sprints, defining project goals, or managing project scope. It provides templates and best practices for PROJECT.md-first development.

Design system intelligence. Search AntD, Material-UI, Figma, Bootstrap, Tailwind specs. Generate compliant CSS code. Audit for violations. Components, colors, typography, spacing, tokens. Actions: search, generate, audit, review, fix, implement, migrate. Projects: React, Vue, web apps, dashboards, admin panels.

Formalize domain as a category. Defines objects, morphisms, composition,identity, and laws from spec artifacts. Use when: building categorystructure, formalizing domain, preparing for verification.

Token-efficient codebase exploration using MCP servers (Serena, Context7, JetBrains, Claude-mem). Reduces token usage by 80-90% through structured queries. Use ALWAYS before reading files to minimize context window usage.

Master blockchain fundamentals including consensus, cryptography, and distributed systems

Analyzes iron condor credit spreads with OTM put and call spreads for range-bound trading. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting sideways price action, want to collect premium in high IV, analyzing range-bound opportunities, or implementing neutral income strategies on stocks with defined trading ranges.

Generate critical analyses of Univrs.io ecosystem releases. Use when critiquing DOL, VUDO, Spirit, ENR, CryptoSaint, learn.univrs.io, or vudo.univrs.io changes. Invoked via /critique to ask "Who benefits from this machine?"

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.