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.
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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.
Category
AI Agent & AutomationWhat Langcache Semantic Caching for OpenClaw can do for your AI workflow
This skill should be used when directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,615+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Langcache Semantic Caching for OpenClaw
Help me get started with Langcache Semantic Caching for OpenClaw
Explains what Langcache Semantic Caching for OpenClaw does, walks through the setup, and runs a quick demo based on your current project
Use Langcache Semantic Caching for OpenClaw to this skill should be used when the user asks to "enable semantic ca...
Invokes Langcache Semantic Caching for OpenClaw with the right parameters and returns the result directly in the conversation
What can I do with Langcache Semantic Caching for OpenClaw in my ai agent & automation workflow?
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Langcache Semantic Caching for OpenClaw extends your AI assistant with the ability to 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. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Langcache Semantic Caching for OpenClaw as its underlying capability.
Langcache Semantic Caching for OpenClaw works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Langcache Semantic Caching for OpenClaw once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Langcache Semantic Caching for OpenClaw, copy the skill folder to `~/.claude/skills/openclaw-langcache/` for use across all your projects, or `.claude/skills/openclaw-langcache/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/openclaw-langcache` or just describe your goal and the AI will pick it up automatically.
Langcache Semantic Caching for OpenClaw has been installed 1,615 times, making it one of the more actively used skills in the AI Agent & Automation category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/openclaw-langcache/ for personal use (all projects), or .claude/skills/openclaw-langcache/ for project-specific use. Restart your AI client, then invoke with /openclaw-langcache or let the AI discover it automatically.
Langcache Semantic Caching for OpenClaw supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Langcache Semantic Caching for OpenClaw is free to install. Check the repository for licensing information.
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.
Lists the top use cases for Langcache Semantic Caching for OpenClaw, with example commands for each scenario
Automate my ai agent & automation tasks using Langcache Semantic Caching for OpenClaw
Identifies repetitive steps in your workflow and sets up Langcache Semantic Caching for OpenClaw to handle them automatically
Langcache Semantic Caching for OpenClaw is categorized under AI Agent & Automation. These skills help AI agents perform specialized tasks in this domain.
Backup and restore OpenClaw data. Use when user asks to create backups, set up automatic backup schedules, restore from backup, or manage backup rotation. Handles ~/.openclaw directory archiving with proper exclusions.