LibreChat deployment, monitoring, infrastructure, and upgrades
Use when deploying LibreChat with Docker Compose, setting up docker-compose.yml or docker-compose.override.yml, configuring containers, setting up reverse proxies (nginx, Traefik), deploying to cloud providers (Azure, DigitalOcean, Railway), or running LibreChat locally for development. Also use when asked about container networking, volume mounts, or GPU passthrough.
Use when configuring LibreChat's MongoDB database, Redis caching, MeiliSearch message search, file storage strategy (local vs CDN/S3), or PGVector for RAG. Also use when asked about database backup, connection strings, or storage scaling.
Use when setting up LibreChat logging, configuring metrics collection, integrating Langfuse for LLM observability, tracking token usage and costs, or analyzing LibreChat server logs. Also use when asked about monitoring LibreChat in production or debugging performance from logs.
Use when upgrading LibreChat to a new version, migrating data between versions, handling breaking changes, running database migrations, or migrating agent permissions. Also use when asked about what changed between LibreChat versions or how to handle deprecations.
Claude Code skills for LibreChat configuration, deployment, and administration.
This marketplace provides guided workflows that Claude Code can activate when you're working with LibreChat — writing YAML configs, setting up agents, diagnosing errors, managing authentication, and more.
Disclaimer: These skills were built using Claude Code with the skill-creator plugin and Serena MCP server. They have been tested against a single LibreChat v0.8.3 instance running locally. While all 12 skills pass testing, edge cases or version-specific issues may exist. Bug reports and contributions are welcome.
Add the marketplace to Claude Code:
/plugin marketplace add https://github.com/bethanychamberlain/claude-skills-librechat
Then install a plugin:
/plugin install librechat-core
| Plugin | Skills | Description |
|---|---|---|
librechat-core | config, agents, troubleshooting | YAML configuration, agent setup, debugging |
librechat-data | rag, tools | Document retrieval (RAG), agent tools and capabilities |
librechat-mcp | mcp | Model Context Protocol server integration |
librechat-ops | deployment, infrastructure, monitoring, upgrades | Docker/cloud deployment, databases, logging, version management |
librechat-security | auth, access-control | OAuth2/SAML/LDAP authentication, user restrictions and permissions |
5 plugins, 12 skills, 97 reference files, 11 templates, 2 helper scripts.
Once installed, skills activate naturally during conversation. Examples:
"Help me add a custom endpoint for Mistral to my librechat.yaml" → activates the config skill
"I'm getting a 400 error when uploading files to an agent" → activates the troubleshooting skill
"Set up an agent with RAG for student document queries" → activates the rag skill
"Configure SAML authentication with our identity provider" → activates the auth skill
"Lock down the interface so students can only use shared agents" → activates the access-control skill
You don't need to name skills explicitly — describe what you're trying to do and Claude Code will use the right skill.
For the best results, fill in librechat-context-template.md and paste its contents
at the start of your session (or save it as LIBRECHAT_CONTEXT.md in your project).
This tells Claude which version you're running, how it's deployed, what providers are
configured, and any constraints it should know about.
See CONTRIBUTING.md for how to add skills, fix docs, or propose a new plugin.
This project was inspired by and built on the framework established by alirezarezvani/claude-skills.
MIT — see LICENSE.
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npx claudepluginhub bethanychamberlain/claude-skills-librechat --plugin librechat-opsLibreChat access control, authentication, and user management
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