Produce strategic system guidance from project rules and documentation.
npx skills add https://github.com/jangtrinh/demo-Lam --skill ck-ask-jangtrinh
Please help me install this Agent Skill. Skill: ck:ask Source: https://github.com/jangtrinh/demo-Lam/tree/main/.claude/skills/ask Command: npx skills add https://github.com/jangtrinh/demo-Lam --skill ck-ask-jangtrinh
It helps you turn a technical or architectural question into clear, high-level guidance tailored to the project’s existing workflows, constraints, and documentation.
Use case example: ask how to structure a maintainable feature workflow under current orchestration rules, with attention to scalability trade-offs and risks.
Ask for guidance by running ck:ask with your question, referencing the relevant architectural challenge and expected constraints.
High-intent search queries and answers about installing and using this skill.
Architectural consultation resolves technology selection and scalability planning by synthesizing project rules and documentation into strategic system guidance. It produces actionable analysis, design recommendations, and phased implementation strategies without writing implementation code.
Risk trade-off analysis in systems design applies YAGNI, KISS, and DRY principles to evaluate architectural constraints. It generates context-aware decisioning that grounds recommendations in project-specific documentation to avoid guesswork.
Workflow design under existing orchestration rules is supported by producing high-level guidance tailored to current project constraints. It synthesizes perspectives from systems design and technology strategy to structure maintainable feature workflows.
Implementation code is not provided; the output format is consultation-only. It delivers strategy-first results including design recommendations, technology guidance, and a phased implementation strategy, leaving actual code generation to downstream processes.
Structuring a maintainable feature workflow requires synthesizing technology strategy and scalability perspectives against project constraints. It yields clear, high-level guidance that addresses scalability trade-offs and risks without starting implementation.
rpelizzaMaps project-specific domain logic and architectural constraints for AI agents.
mietheGenerate PRDs and phased implementation plans with subagent assignments.
mchien15Answer architectural questions with structured recommendations from four specialized advisors.
LschulzesEvaluate UI code against Web Interface Guidelines to detect deviations.
