Use when facing a powerful enemy dependent on long supply lines. Based on Deng Duwei's advice during the Seven States Rebellion, employs fortified defense, allied distraction, and mobile forces to cut supply routes and starve the enemy into defeat.
Use when building secret alliances against a central authority while maintaining deniability. Covers verbal-only communication, shared grievance framing, self-interest appeals, and network expansion through confirmed allies.
Use when organizing coordinated attacks from multiple departure points against a common enemy. Assigns commanders (大将军, 车骑将军, etc.) to independent columns that report results separately for performance-based rewards.
Use when defending against cavalry in open terrain with no natural cover. Deploys armored wagons (武刚车) in a circular formation to create a mobile fortification, enabling cavalry sorties and counterattack when conditions shift.
Use when advising rulers without direct confrontation. Presents options rather than demands (开陈其端令人主自择), times proposals for private audiences, and allows superiors to feel ownership of decisions.
Use when planning multi-column campaigns against distant targets like the Nanyue conquest. Maps multiple approach routes, assigns forces by type (regular, conscript, naval), sets convergence points, and accepts partial column failure.
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.
Transform a workflow description into affordance tables showing UI and Code affordances with their wiring. Use to map existing systems or design new ones from shaped parts.
Core building blocks of Suricata signatures and multi-condition DPI logic
Use when erlang's concurrency model including lightweight processes, message passing, process links and monitors, error handling patterns, selective receive, and building massively concurrent systems on the BEAM VM.
Strategy for solving constraint optimization problems on spatial maps. Use when you need to place items on a grid/map to maximize some objective while satisfying constraints.
World-class Java and Spring Boot development skill for enterprise applications, microservices, and cloud-native systems. Expertise in Spring Framework, Spring Boot 3.x, Spring Cloud, JPA/Hibernate, and reactive programming with WebFlux. Includes project scaffolding, dependency management, security implementation, and performance optimization.
Guide for translating Python classes, inheritance, and object-oriented patterns to Scala. Use when converting Python code with classes, dataclasses, abstract classes, inheritance, properties, static methods, class methods, or design patterns.
Selecting MPC prediction horizon and cost matrices for web handling.
Linearizing nonlinear dynamics around operating points for control design.
Standard software engineering workflow for requirement analysis, technical design, and task planning. Use this skill when developing new features, complex architecture designs, multi-module integrations, or projects involving database/UI design.
Guide for implementing features in ClaudeBar following architecture-first design, TDD, rich domain models, and Swift 6.2 patterns. Use this skill when: (1) Adding new functionality to the app (2) Creating domain models that follow user's mental model (3) Building SwiftUI views that consume domain models directly (4) User asks "how do I implement X" or "add feature Y" (5) Implementing any feature that spans Domain, Infrastructure, and App layers
Domain-Driven Development workflow specialist using ANALYZE-PRESERVE-IMPROVE cycle for behavior-preserving code transformation. Use when refactoring legacy code or reducing technical debt safely.
Visual design system patterns for AI Agency projects covering color palettes, typography, spacing, layout, and component design tokens. Enforces brand visual consistency and eliminates AI-generated design anti-patterns.
Self-research workflow for optimizing moai-adk components through binary eval experimentation loops. Adapted from autoresearch pattern with 5-layer safety architecture.
Enforce consistent struct design conventions across sdk/cosmos crates. Validates visibility modifiers, field privacy, #[non_exhaustive] usage, and construction API patterns (`Default`/`new` with `with_*` setters, or optional separate builders with `builder()`/`build()`), and construction correctness on public structs. Can auto-fix violations or report them as errors.
[EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for parallel multi-agent execution.
Pause for review every N tasks - selective autonomy pattern
Migrate codebase from try/catch or Promise-based error handling to better-result. Use when adopting Result types, converting thrown exceptions to typed errors, or refactoring existing error handling to railway-oriented programming.
