Coordinate a structured spike workflow to document architectural unknowns before deployment.
npx skills add https://github.com/cuongnm-dev/team-ai-config --skill spike-cuongnm-dev
Please help me install this Agent Skill. Skill: spike Source: https://github.com/cuongnm-dev/team-ai-config/tree/main/cursor/skills/spike Command: npx skills add https://github.com/cuongnm-dev/team-ai-config --skill spike-cuongnm-dev
Spike workflow to identify and document unknowns in system architecture before deployment, ensuring informed technical decisions.
Provide a complete spike scenario with upfront inputs and produce a final spike document.
High-intent search queries and answers about installing and using this skill.
To investigate technical unknowns, you can orchestrate a structured spike workflow that coordinates upfront data collection, SA architectural investigation, and PoC feasibility analysis to produce a final spike document with recommendations.
The best way to document architectural decisions is to generate a formalized spike document that ensures decision criteria, risk assessment, and clear next steps are recorded for engineering teams.
You validate proof-of-concept feasibility by integrating an optional PoC phase within a spike workflow, allowing tech leads to analyze technical viability before producing final recommendations.
You need a spike workflow for architectural investigation when you must identify and document unknowns in system architecture before deployment, ensuring informed technical decisions and reducing risks during architecture reviews.
Yes, you can use this spike workflow for PM planning and technical decision-making processes because it formalizes decision criteria and produces a final document with clear next steps across MCP-enabled environments.
Without formalized decision criteria, a spike investigation lacks structured risk assessment and clear next steps, which prevents engineering teams from making informed technical decisions before deployment.
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