Skill UI

Converts requirements into precise, dependency-aware implementation plans. Creates detailed checklists, defines milestones, and maps critical paths for development teams. Ensures tasks are atomic and verifiable before coding begins, bridging the gap between requirements and execution.

This framework provides a comprehensive, structured approach for making critical architectural decisions. It guides users through requirements analysis, detailed trade-off evaluation, and documenting decisions using Architecture Decision Records (ADRs). It is essential when analyzing or designing complex system architectures to ensure simplicity, robustness, and maintainability.

This skill helps clarify ambiguous requirements before starting work. It involves identifying unclear objectives, scope, or constraints, then asking targeted questions to avoid errors. Use it when task details are insufficient to proceed safely or when serious doubts arise regarding the request.

Implement centralized audit logging for compliance and security monitoring. Configure log retention, tamper-proof storage, and SIEM integration to build audit trails for regulatory requirements like SOC 2 and HIPAA. Includes rsyslog, journald, and Python logging configurations.

This tool automates compliance validation against industry standards including CIS AWS Foundations, PCI-DSS, HIPAA, and SOC 2 benchmarks. It helps validate AWS configurations, prepare for audits, and maintain continuous compliance monitoring. Users can generate reports and check specific regulatory requirements efficiently.

Orchestrate end-to-end backend feature development from requirements and architecture through implementation, testing, and production rollout with feature flags, canary releases, and monitoring.

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 skill provides a template for creating project-specific guidelines based on production applications. It includes architecture overviews, file structures, code patterns, testing requirements, and deployment workflows. Ideal for standardizing development practices across teams using technologies like Next.js, FastAPI, and AI integrations.

This skill creates a new development track (feature, bug, chore, or refactor) with a detailed specification and phased implementation plan. It guides users through interactive specification gathering, validates requirements, generates structured markdown specifications, and outlines implementation phases with verification steps. Ideal for project management and software development workflows within the Conductor system.

Secure Docker images and runtime configurations by implementing best practices like non-root users, read-only filesystems, and capability dropping. Includes Kubernetes security contexts and image scanning guidance to meet defense-in-depth requirements. Helps reduce attack surface and ensure compliance with security standards.

This skill allows you to delegate bounded coding tasks to the GitHub Copilot CLI while retaining review and landing responsibility. You write a brief, dispatch the task via a relay script, wait for completion, review the generated diff against your requirements, and finally commit the changes. It requires the Copilot CLI installed and authenticated, along with Node.js and Git. This approach ensures human oversight in the coding process, preventing silent failures and maintaining control over code quality.

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.