Use Case
Langcache Semantic Caching for OpenClaw isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. This skill should be used when the user asks to "enable semantic caching", "cache LLM responses", "reduce API costs", "speed up AI responses", "configure LangCache", "search the semantic cache", "store responses in cache", or mentions Redis LangCache, semantic similarity caching, or LLM response caching. Provides integration with Redis LangCache managed service for semantic caching of prompts and responses. This guide covers how to deploy Langcache Semantic Caching for OpenClaw for your team, standardize prompts, and create shared workflows that everyone can use.
Install Langcache Semantic Caching for OpenClaw in your project directory: .claude/skills/openclaw-langcache/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Langcache Semantic Caching for OpenClaw in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Langcache Semantic Caching for OpenClaw
How can my team use Langcache Semantic Caching for OpenClaw together?
Set up Langcache Semantic Caching for OpenClaw for our project so everyone can use it
Create a shared workflow using Langcache Semantic Caching for OpenClaw for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install openclaw-langcacheOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install openclaw-langcacheβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/openclaw-langcache/π‘Extract and place the folder at the path above, then restart your agent.