claudecodex

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).

0 on GitHubby vllntv0.1.0-canary.9MITupdated 10 days agoProductivity
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Plugin vstack from marketplace vllnt in vllnt/stack. Commands read from the repo's manifest — 9 days ago.

What it installs

Skills (29)

  • build-landing-page

    Draft or review framework-independent landing-page structure and conversion copy for one primary action.

  • build-prototype

    Build and iterate a focused local prototype using observed behavior and human product decisions.

  • deliver-issue

    Deliver a scoped issue through a verified pull request and authorized merge to its target branch.

  • deliver-pull-request

    Review a pull request, coordinate authorized repairs and verification, then merge it when permitted.

  • explain-subject

    Explain a real subject with a simple verified mental model and clear limits.

  • explore-decisions

    Sharpen an artifact or decision through focused evidence-based questions and concrete alternatives.

  • improve-code

    Simplify code and comments while preserving observable contracts and affected consumers.

  • improve-codebase

    Directly refactor source code and data paths toward measured reduction and efficiency while preserving behavior.

  • improve-dx

    Speed up verified work for developers and agents by improving native build, lint, script, and CI workflows without weakening checks.

  • improve-machine-privacy

    Audit the current machine on any OS for privacy leaks in identifiers, network traffic, telemetry, permissions, sharing, browsers, and file metadata, list every recommendation with its benefit, risk, and undo, then apply and verify only user-selected changes.

  • improve-machine-security

    Audit the current machine on any OS for weak security settings, hidden or dormant processes, network exposure, and account risks, offer an approved local network check, then apply and verify only user-selected fixes.

  • improve-project

    Adapt an existing repository to applicable stack preferences through small verified stages.

  • improve-session

    Refocus a session at any point on its requested outcome, grounded decisions, simplicity, required quality, and efficient execution.

  • improve-tests

    Improve a whole test suite by consolidating cross-file duplication and reducing execution cost while preserving coverage and defect detection.

  • improve-ui

    Improve an interface’s hierarchy, consistency, responsiveness, and accessibility while preserving journeys.

  • init-project

    Start a new project from answers, then install and verify it (@vllnt stack or a minimal baseline on another stack).

  • manage-defects

    Diagnose a reported failure, isolate its cause, and apply authorized repairs with regression evidence.

  • manage-issues

    Triage GitHub issues into an evidence-backed, atomic, actionable backlog and apply authorized changes.

  • manage-roadmap

    Create, maintain, synchronize, or report a traceable roadmap that preserves direction and history.

  • manage-rules

    Manage user, project, and nested instructions while preserving scope, precedence, and effective behavior.

  • manage-skills

    Create, review, update, organize, or retire portable agent skills around a clear outcome and evidence.

  • manage-vision

    Create, update, locate, or audit an evidence-backed project vision anchor and decision test.

  • plan-issues

    Assess a codebase and prepare a source-backed, deduplicated issue backlog for human review.

  • plan-work

    Maintain a read-only planning session that returns an actionable plan without local or remote side effects.

  • review-pull-request-qa

    Test a pull request in a full local or preview environment and return candidate-bound backend, frontend, and end-to-end QA evidence.

  • review-ui

    Assess an interface for evidence-backed usability, responsiveness, consistency, and accessibility findings without changing it.

  • vllnt-collaboration-principles

    Load at each session start to keep human collaboration proactive, concise, autonomous, and decision-ready.

  • vllnt-orchestration-principles

    Load at each session start to coordinate goal-driven work, useful delegation, convergence, and decisions.

  • vllnt-thinking-principles

    Load at each session start to apply Vstack’s evidence-led, minimal reasoning principles throughout the work.

View source on GitHub vllnt.com

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