OpenClaw Skills Ecosystem and Practical Production Picks
The skills worth keeping, and the ones to skip
OpenClaw has two extension stories, and they are easy to mix up.
Plugins extend the runtime. Skills extend the agent’s behavior.
The skills worth keeping, and the ones to skip
OpenClaw has two extension stories, and they are easy to mix up.
Plugins extend the runtime. Skills extend the agent’s behavior.
Plugins first. Skills naming in brief.
This article is about OpenClaw plugins — native gateway packages that add channels, model providers, tools, speech, memory, media, web search, and other runtime surfaces.
How real OpenClaw systems are actually structured
OpenClaw looks simple in demos. In production, it becomes a system.
Self-hosted AI search with local LLMs
Vane is one of the more pragmatic entries in the “AI search with citations” space: a self-hosted answering engine that mixes live web retrieval with local or cloud LLMs, while keeping the whole stack under your control.
Hermes Agent install and quickstart for devs
Hermes Agent is a self-hosted, model-agnostic AI assistant that runs on a local machine or low-cost VPS, works through terminal and messaging interfaces, and improves over time by turning repeated tasks into reusable skills.
Install TGI, ship fast, debug faster
Text Generation Inference (TGI) has a very specific energy. It is not the newest kid in the inference street, but it is the one that already learned how production breaks -
Serve open models fast with SGLang.
SGLang is a high-performance serving framework for large language models and multimodal models, built to deliver low-latency and high-throughput inference across everything from a single GPU to distributed clusters.
Hot-swap local LLMs without changing clients.
Soon you are juggling vLLM, llama.cpp, and more—each stack on its own port. Everything downstream still wants one /v1 base URL; otherwise you keep shuffling ports, profiles, and one-off scripts. llama-swap is the /v1 proxy before those stacks.
Most local AI setups start with a model and a runtime.
How to Install, Configure, and Use the OpenCode
I keep coming back to llama.cpp for local inference—it gives you control that Ollama and others abstract away, and it just works. Easy to run GGUF models interactively with llama-cli or expose an OpenAI-compatible HTTP API with llama-server.
OpenClaw AI Assistant Guide
Most local AI setups start the same way: a model, a runtime, and a chat interface.
Compare headless CMS - features, performance & use cases
Choosing the right headless CMS can make or break your content management strategy. Let’s compare three open-source solutions that influence how devs build content - driven applications.
Control your data with self-hosted Nextcloud cloud storage
Nextcloud is the leading open-source, self-hosted cloud storage and collaboration platform that puts you in complete control of your data.
Your photos on self-hosted AI-powered backup
Immich is a revolutionary open-source, self-hosted photo and video management solution that gives you complete control over your memories. With features rivaling Google Photos - including AI-powered facial recognition, smart search, and automatic mobile backup - all while keeping your data private and secure on your own server.
Elasticsearch commands for search, indexing & analytics
Elasticsearch is a powerful distributed search and analytics engine built on Apache Lucene. This comprehensive cheatsheet covers essential commands, best practices, and quick references for working with Elasticsearch clusters.
Quick overview of most prominent UIs for Ollama in 2025
Locally hosted Ollama allows to run large language models on your own machine, but using it via command-line isn’t user-friendly. Here are several open-source projects provide ChatGPT-style interfaces that connect to a local Ollama.