livepilot-release

Validates cross-file version consistency and metadata integrity for LivePilot production releases.

57|7|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/dreamrec/LivePilot --skill livepilot-release
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: livepilot-release
Source: https://github.com/dreamrec/LivePilot/tree/main/livepilot/skills/livepilot-release
Command: npx skills add https://github.com/dreamrec/LivePilot --skill livepilot-release

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytest, and includes scripts (resource) components.

What problem does it solve?

This Skill prevents human error during the release process by ensuring that version strings, tool counts, and documentation across the entire LivePilot ecosystem remain perfectly synchronized.

Core Features & Use Cases

  • Version Synchronization: Validates version consistency across package manifests, Python modules, Max for Live devices, and documentation headers.
  • Metadata Integrity: Automatically verifies that tool counts and domain lists are accurate across the codebase and documentation.
  • Release Readiness: Provides a comprehensive checklist and automated verification commands to ensure all artifacts, including MCPB bundles and plugin caches, are correctly prepared before a push or publish.

Quick Start

Run the livepilot-release skill to verify that all version strings and tool counts are synchronized before initiating a new release.

Frequently Asked Questions about livepilot-release

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I ensure version consistency across JSON manifests and Python scripts before a release?

To ensure version consistency before a release, you can run automated validation scripts that cross-check version strings, tool counts, and domain lists across JSON manifests, Python modules, and documentation.

What is the best way to validate metadata integrity for an agentic production system?

Validating metadata integrity for an agentic production system involves automatically verifying that tool counts and domain lists match accurately across the codebase and documentation files using dedicated synchronization scripts.

How do I verify release readiness for MCPB bundles and plugin caches?

You can verify release readiness by running a comprehensive checklist and automated verification commands that confirm all artifacts, including MCPB bundles and plugin caches, are correctly prepared before pushing.

Does the release validation process require running test suites?

Yes, confirming a valid release state requires executing internal sync scripts and test suites, specifically using pytest, to ensure the current registry matches the prepared release artifacts.

Can I synchronize version strings across Max for Live devices and documentation headers automatically?

Yes, automated version synchronization validates that version strings remain perfectly synchronized across package manifests, Python modules, Max for Live devices, and documentation headers.

Why does my release validation fail when tool counts differ between code and documentation?

Release validation fails on mismatched tool counts because the system enforces strict metadata accuracy, ensuring that tool counts and domain lists in documentation precisely match the current codebase registry.