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LanternOps

Official

@lanternops

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12Published Skills

Offers specialized engineering oversight, testing, and diagnostic infrastructure for Breeze RMM environments and GitHub-integrated development lifecycles.

Skills Distribution
DomainDeveloper To...Quality Assurance .. (40%)Infrastructure Pro.. (30%)System Diagnostics.. (30%)

Agent Skills by LanternOps

Showing 12 vetted skills indexed across 1 GitHub repositories.

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breeze-helper

Explain Breeze Helper architecture and IPC for debugging and extension.

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Advanced
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gh-queue

Coordinates GitHub PRs, Discussions, Issues into a unified backlog queue using gh CLI and GraphQL.

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Intermediate
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worktree-stack

Provision isolated Breeze stacks with pg, Redis, API, web, portal, and Caddy per git worktree.

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Intermediate
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agent-log-debugging

Query Breeze agent diagnostic logs from Postgres to identify connectivity and error issues.

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Intermediate
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agent-info

Document Breeze RMM Go agent architecture, commands, configuration, and data flows.

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Intermediate
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issue-to-pr

Automate a GitHub issue from claim to reviewed open PR.

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Advanced
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breeze-testing

Codify test-writing conventions and coverage requirements for Breeze RMM projects.

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Intermediate
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feature-testing

Automates UI, API, and agent feature verification using Playwright MCP and diagnostic logs.

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Advanced
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e2e-coverage

Verify end-to-end Breeze RMM coverage across UI, API, and agent layers using delta testing.

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Advanced
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ui-qa-sweep

Run Playwright UI regression sweeps across Breeze MSP workflows and file GitHub issues.

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Advanced
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security-review

Audit Breeze RMM codebase security for hardening gaps and vulnerabilities.

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ai-agent

Summarize Breeze RMM AI Agent architecture, MCP tooling, streaming chat, and guardrails.

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Advanced

Frequently Asked Questions About LanternOps

FAQPage Schema
What specific tasks does LanternOps enable for engineering teams?

LanternOps enables unified backlog management for GitHub issues and PRs, isolated environment provisioning via git worktrees, and comprehensive regression testing. It facilitates deep diagnostic log analysis for RMM agents and provides structured security auditing for hardening codebase vulnerabilities.

Which personas benefit most from these technical capabilities?

These capabilities are designed for DevOps engineers, QA specialists, and RMM platform developers. The stack is specifically optimized for teams managing complex Breeze RMM architectures who require granular control over testing, environment isolation, and issue-to-PR lifecycle management.

What are the core prerequisites for implementing these testing and diagnostic capabilities?

Implementation requires an existing Breeze RMM environment, a GitHub repository structure, and local installation of Playwright for UI verification. Users must also have Postgres access for log querying and familiarity with git worktree configurations to support the isolated stack provisioning.