vllnt/vstack
Evidence-led engineering workflows to plan, build, review, and ship software with AI agents. Part of the vllnt universe: open, sovereign tools for freedom by design (vllnt.com).
Draft or review framework-independent landing-page structure and conversion copy for one primary action.
Establish and verify a minimal project baseline from applicable stack and package preferences.
Build and iterate a focused local prototype using observed behavior and human product decisions.
Deliver a scoped issue through a verified pull request and authorized merge to its target branch.
Review a pull request, coordinate authorized repairs and verification, then merge it when permitted.
Explain a real subject with a simple verified mental model and clear limits.
Sharpen an artifact or decision through focused evidence-based questions and concrete alternatives.
Simplify code and comments while preserving observable contracts and affected consumers.
Adapt an existing repository to applicable stack preferences through small verified stages.
Improve an interface’s hierarchy, consistency, responsiveness, and accessibility while preserving journeys.
Diagnose a reported failure, isolate its cause, and apply authorized repairs with regression evidence.
Triage GitHub issues into an evidence-backed, atomic, actionable backlog and apply authorized changes.
Create, maintain, synchronize, or report a traceable roadmap that preserves direction and history.
Manage user, project, and nested instructions while preserving scope, precedence, and effective behavior.
Create, review, update, organize, or retire portable agent skills around a clear outcome and evidence.
Create, update, locate, or audit an evidence-backed project vision anchor and decision test.
Assess a codebase and prepare a source-backed, deduplicated issue backlog for human review.
Maintain a read-only planning session that returns an actionable plan without local or remote side effects.
Assess an interface for evidence-backed usability, responsiveness, consistency, and accessibility findings without changing it.
Load at each session start to keep human collaboration proactive, concise, autonomous, and decision-ready.
Load at each session start to coordinate goal-driven work, useful delegation, convergence, and decisions.
Load at each session start to apply Vstack’s evidence-led, minimal reasoning principles throughout the work.