Select an agStack backend profile and write stack.json plus an ADR.
npx skills add https://github.com/anicdh/agstack --skill tech-stack-consult
Please help me install this Agent Skill. Skill: tech-stack-consult Source: https://github.com/anicdh/agstack/tree/main/.claude/skills/tech-stack-consult Command: npx skills add https://github.com/anicdh/agstack --skill tech-stack-consult
Guides teams and engineers to select the optimal agStack backend profile before scaffolding, preventing misalignment and wasted work.
Answer the five questions in order to determine the best backend stack, then proceed to confirm and run /setup.
High-intent search queries and answers about installing and using this skill.
To choose the best backend stack before scaffolding, teams answer five structured questions evaluating workload, traffic, deployment, and real-time needs. This deterministic mapping process selects the optimal profile and writes the configuration to stack.json to prevent misalignment.
A NestJS and Rust architecture is recommended when the five-question decision flow identifies high traffic, specific language skills, and real-time needs that warrant a hybrid profile. The process deterministically maps these workload and deployment constraints to the nestjs-rust profile.
Documenting tech stack rationale is handled by generating an Architecture Decision Record at docs/decisions/000-tech-stack.md. This ADR captures the governance and reasoning behind the selected profile, ensuring future reference and alignment after the stack.json is written.
No, the backend stack selection process does not scaffold or write any application code. It strictly enforces deterministic rules to output a stack.json configuration file and an ADR, leaving the actual scaffolding to subsequent setup steps.
Go or Python-only backend profiles are determined by answering five questions about workload, traffic, team skills, deployment constraints, and real-time needs. The evaluation enforces deterministic rules to map these specific project requirements to the correct profile.
The decision flow is specifically designed to select the optimal backend profile for agStack projects before scaffolding. It writes configurations to .agstack/stack.json and generates an ADR, tailoring the deterministic workflow and output paths to the agStack ecosystem.
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