Compares sibling command classes for consistent structure, documentation, testing, and exit-status conventions under the Base architecture. Use for cross-command audits.
Create visualize finance logic diagrams (e.g., Draw.io XML) to explain complex finance transmission chains or finance logic flows.
TypeScript strict patterns and best practices. Trigger: When writing TypeScript code - types, interfaces, generics.
Use when implementing a new Kuvio component for the Alkaa Design System after design spec and structure decisions are finalized
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.
Test-Driven Development workflow principles. RED-GREEN-REFACTOR cycle.
Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.
Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting.
Nostr protocol implementation patterns in Quartz (AmethystMultiplatform's KMP Nostr library). Use when working with: (1) Nostr events (creating, parsing, signing), (2) Event kinds and tags, (3) NIP implementations (57 NIPs in quartz/), (4) Event builders and TagArrayBuilder DSL, (5) Nostr cryptography (secp256k1, NIP-44 encryption), (6) Relay communication patterns, (7) Bech32 encoding (npub, nsec, note, nevent). Complements nostr-protocol agent (NIP specs) - this skill provides Quartz codebase patterns and implementation details.
Implement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA patterns, building for screen readers, or ensuring inclusive user experiences.
BuildingAI monorepo project structure and architecture guide. Use when AI needs to understand project organization, locate files, understand package relationships, find where specific functionality is implemented, or navigate the codebase structure. Essential for any development task that requires understanding the project layout, import patterns, module organization, or cross-package dependencies.
HASH error handling patterns using error-stack crate. Use when working with Result types, Report types, defining custom errors, propagating errors with change_context, adding context with attach, implementing Error trait, or documenting error conditions in Rust code.
Design the domain model for the Stitch SDK. Use when mapping MCP tools to domain classes and bindings in domain-map.json. This is Stage 2 of the generation pipeline.
Architecture standard for building robust, type-safe TypeScript services using the "Spec and Handler" pattern. Use when building CLIs, libraries, or complex business logic.
Generate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, create C4 diagrams, or generate context/container/component/deployment diagrams. Triggers include "architecture diagram", "C4 diagram", "system context", "container diagram", "component diagram", "deployment diagram", "document architecture", "visualize architecture".
Use when working with *.excalidraw or *.excalidraw.json files, user mentions diagrams/flowcharts, or requests architecture visualization - delegates all Excalidraw operations to subagents to prevent context exhaustion from verbose JSON (single files: 4k-22k tokens, can exceed read limits)
Comprehensive guide to Antigravity Manager architecture, workflows, and development. Use this to understand how to work on the project.
Find one insight that eliminates multiple components - "if this is true, we don't need X, Y, or Z"
Continuous learning system that extracts reusable knowledge from work sessions. Triggers: (1) /claudeception command, (2) 'save this as a skill' or 'extract a skill from this', (3) 'what did we learn?', (4) after non-obvious debugging or trial-and-error discovery. Creates new skills when valuable reusable knowledge is identified. Integrates with Open Brain to prevent duplicates.
Vendor-agnostic lab automation framework. Use when controlling multiple equipment types (Hamilton, Tecan, Opentrons, plate readers, pumps) or needing unified programming across different vendors. Best for complex workflows, multi-vendor setups, simulation. For Opentrons-only protocols with official API, opentrons-integration may be simpler.
Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.
