What is the primary purpose of the OctoMesh Debugging Agent?

It is designed to assist developers in investigating bugs, diagnosing model failures, and managing database states within the OctoMesh platform.

Can I use it to back up my local environment?

Yes, it includes tools for Docker volume snapshots, allowing you to create named backups before making risky changes and restore them if needed.

Does this skill require external tools?

Yes, it requires the octo-devtools skill, a configured MongoDB MCP server, and should be run from the OctoMesh monorepo workspace root.

How does it optimize the build process?

It follows a selective build strategy, rebuilding only the necessary components from a changed repository downward through the dependency chain to save time.

How does it help with CK model failures?

It identifies orphaned version references and model states (like ResolveFailed) by querying the CkModel collection and analyzing dependency chains.

OctoMesh Debugging Agent

Name: OctoMesh Debugging Agent
Author: meshmakers

bymeshmakers

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分析と監視

Diagnoses OctoMesh platform issues by investigating MongoDB state, CK models, build failures, and NuGet dependency chains.

The OctoMesh Debugging Agent is a specialized skill for Claude Code designed to help developers troubleshoot complex issues within the OctoMesh ecosystem. It provides deep platform knowledge to resolve Construction Kit (CK) model failures, inspect multi-tenant MongoDB databases, manage Docker volume backups for safe experimentation, and perform selective builds to isolate issues. This skill acts as an expert assistant for developers needing to understand why a service won't start, why a model is in a 'ResolveFailed' state, or how to navigate the intricate DebugL NuGet dependency chain.

主な機能

01Direct MongoDB diagnostic queries for tenant databases using specialized MCP tools.

02Integrated log analysis and service health monitoring for OctoMesh microservices.

03Selective build strategy optimization to minimize iteration time across the dependency chain.

04Docker volume snapshot management (backup/restore) for safe infrastructure testing.

05Deep diagnosis of Construction Kit (CK) model 'ResolveFailed' states and versioning issues.

060 GitHub stars

ユースケース

01Restoring database state from a Docker volume backup after a failed experiment.

02Investigating 'ResolveFailed' errors in tenant models after a version bump.

03Performing a selective build of specific services to isolate a runtime bug.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add meshmakers/octo-claude-skills octo-agent

For use in Claude.ai and ChatGPT

主な機能

01Direct MongoDB diagnostic queries for tenant databases using specialized MCP tools.

02Integrated log analysis and service health monitoring for OctoMesh microservices.

03Selective build strategy optimization to minimize iteration time across the dependency chain.

04Docker volume snapshot management (backup/restore) for safe infrastructure testing.

05Deep diagnosis of Construction Kit (CK) model 'ResolveFailed' states and versioning issues.

060 GitHub stars

ユースケース

01Restoring database state from a Docker volume backup after a failed experiment.

02Investigating 'ResolveFailed' errors in tenant models after a version bump.

03Performing a selective build of specific services to isolate a runtime bug.