Generate evidence-based technical decision proposals from codebase, web, and industry sources.
npx skills add https://github.com/Verbalist/agentic-workshop-1 --skill proposal
Please help me install this Agent Skill. Skill: proposal Source: https://github.com/Verbalist/agentic-workshop-1/tree/main/skills/sdlc/proposal Command: npx skills add https://github.com/Verbalist/agentic-workshop-1 --skill proposal
Facilitates rigorous, evidence-based proposals for evaluating technical decisions by requiring proofs from code analysis, web sources, and industry opinions, reducing risk and bias across teams.
Draft a proposal for a subject, gather codebase proofs, web sources, and industry opinions, then summarize findings and plan next steps.
High-intent search queries and answers about installing and using this skill.
An evidence-based technical decision proposal requires rigorous proofs from codebase analysis, web sources, and industry opinions to evaluate architecture choices, dependency changes, and migrations, reducing risk and bias.
Draft a proposal for the subject, gather codebase proofs, web sources, and industry opinions, then evaluate maintainability, bus factor, funding implications, and long-term risks to plan next steps.
Yes. The structured workflow guides requirements, proposal, design, classification, planning, and implementation, making it scalable for build-vs-buy evaluations and new technology choices across SDLC stages.
Assess long-term risks by evaluating maintainability, bus factor considerations, funding implications, and potential future changes, supported by web research and industry opinions during the decision proposal process.
Yes. While it guides a structured workflow from requirements to implementation, it also supports standalone usage for drafting proposals and gathering evidence for specific technical decisions.
Industry opinions are required alongside codebase proofs and web sources to reduce bias, but they must be balanced with maintainability assessments and bus factor considerations to ensure long-term risk analyses remain objective.
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