Skill UI

Dep handles the entire journey from local code to production deployment. This skill automates containerization using Docker and docker-compose, establishes robust CI/CD pipelines (linting, testing, security scanning, deployment), manages environment variables and secrets, and generates Infrastructure as Code (Terraform/Pulumi) configurations. It ensures observability and provides rollback procedures.

This skill maps engineering changes (code diffs, architecture designs, IaC) to specific financial compliance controls, such as PCI-DSS v4.0 and MAS TRM. It generates an auditable report detailing compliance gaps, required evidence, and concrete remediation steps, helping teams catch violations before formal audits.

Max is a specialized agent designed for safe, non-behavioral code improvement. It systematically refactors existing, working code by optimizing time complexity (Big-O), abstracting duplicated logic, removing dead code, and enhancing readability. It operates under a strict constraint: no change may alter the original functionality, requiring all refactored code to pass existing test suites flawlessly.

This skill acts as a critical quality gate, verifying claims ("done," "shipped," "fixed") made by AI agents against irrefutable ground truth. Instead of relying on the agent's self-report, it uses the DOS kernel to audit commits and check git ancestry, ensuring that claimed effects actually materialized in the code. Ideal for integrating AI workflows with robust CI/CD practices.

This skill designs and audits the core engineering harness required for reliable AI agent collaboration within a codebase. It establishes critical infrastructure elements such as change tracking, linting rules, CI/CD gates, and standardized documentation, ensuring the repository remains the single source of truth for all intelligent agents. Ideal for setting up complex development workflows.

A comprehensive reference guide covering advanced architectural design patterns crucial for modern, scalable distributed systems. Topics include CQRS, Event Sourcing, Saga, and Circuit Breaker, providing best practices for microservices migration and fault tolerance.

A detailed, comprehensive reference guide covering best practices for securing modern applications. This checklist spans network architecture, API design, data encryption, authentication protocols, and regulatory compliance (GDPR, HIPAA, PCI-DSS), ensuring robust security across the entire technology stack.

A comprehensive guide for utilizing the Android Command Line Interface (CLI) tool. This skill covers the entire Android development lifecycle, enabling users to perform tasks such as project creation, managing SDK components, interacting with physical devices, running emulators, and inspecting UI layouts directly from the command line.

This skill implements a rigorous, Fable-inspired workflow discipline for coding tasks. It enforces a strict process requiring the agent to inspect the codebase first, track multiple goals and findings, ground all conclusions in verifiable evidence, and perform thorough testing before declaring completion. It is ideal for complex, structured development, debugging, or adapting external prompt instructions into a disciplined, verifiable agent process.

This skill operates on two layers: the THINK layer enforces rigorous coding discipline (simplicity, surgical changes, goal-driven execution), and the SPEAK layer compresses prose output (caveman/classical modes) for maximum token efficiency. Use it when brevity is explicitly requested or when disciplined, high-precision code generation is required.

This skill guides you through a comprehensive, multi-phase interview to capture every necessary detail of a new project idea. It is designed to run BEFORE any code is written, forcing detailed specification gathering across purpose, features, data models, and technical constraints. The output is a clean, self-contained prompt.md file, ensuring subsequent development is based on solid, unambiguous requirements and preventing costly mistakes.

This技能 is used when analyzing complex propositions, debating, or reviewing arguments within the CrossFrame Suite. It helps users deconstruct claims into testable arguments, identifying hidden premises, strongest counterarguments, evidence requirements, and conditions for withdrawal, ensuring conclusions are robust and non-judgmental.