Enrich company, person, and contact data with 25 tools via the Enrich Layer API. Look up companies, find decision-makers, get work emails, search employees,...
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install enrich-layerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install enrich-layerβ 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/enrich-layer/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¬CommunicationPlatforms
What Enrich Layer can do for your AI workflow
Enrich company, person, directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
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 Enrich Layer
Send a Slack message to the #engineering channel about the deployment
Formats and sends the message with relevant context, tagging the right people
Summarize all unread messages in my inbox from today
Reads messages across connected channels and returns a prioritized summary
Draft a reply to this customer complaint and send it for review
Writes an empathetic, professional response and routes it to the approval queue
Guides & tutorials for AI skills
The 7 AI Skills Every Software Developer Should Have Installed in 2026
After testing dozens of developer-focused AI skills, these are the seven that have proven genuinely useful across different tech stacks and workflows β not just impressive demos, but tools that hold up under daily use.
MCP Skills vs Native Claude Tools: What's the Difference and When to Use Each
Claude comes with built-in capabilities, but MCP skills extend it in ways the base model can't. Here's a clear breakdown of what each type of tool is good for, with real examples of when to reach for a skill versus relying on Claude's native abilities.
Staying on top of communications across multiple channels is a real challenge for modern teams. Enrich Layer helps by enabling enrich company, person, and contact data with 25 tools via the enrich layer api. look up companies, find decision-makers, get work emails, search employees,.. directly from your AI assistant, without switching apps or logging into separate platforms.
Enrich Layer 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 Enrich Layer 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 Enrich Layer, copy the skill folder to `~/.claude/skills/enrich-layer/` for use across all your projects, or `.claude/skills/enrich-layer/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/enrich-layer` or just describe your goal and the AI will pick it up automatically.
Enrich Layer has 236 installs and is part of the growing Communication skill ecosystem on DiscoverAISkills. 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/enrich-layer/ for personal use (all projects), or .claude/skills/enrich-layer/ for project-specific use. Restart your AI client, then invoke with /enrich-layer or let the AI discover it automatically.
Enrich Layer supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Enrich Layer is free to install. Check the repository for licensing information.
Enrich company, person, and contact data with 25 tools via the Enrich Layer API. Look up companies, find decision-makers, get work emails, search employees,...
Layered Memory
The hierarchical memory management system based on the L0/L1/L2 three-layer structure significantly reduces Token consumption. L0 saves 99% Tokens (summary layer), L1 saves 88% (overview layer), and L2 is the complete content. Supports automatic generation of hierarchical files, intelligent on-demand loading, and prevention of repeated writing. Suitable for scenarios where large memory files need to be managed efficiently.
Layered Memory Architecture
Build cheap, truthful long-term memory for agents with a layered architecture instead of a memory blob. Design, explain, audit, or improve a system that sepa...
Enrich Industry
Enrich Layer is categorized under Communication. These skills help AI agents perform specialized tasks in this domain.
Backfill contact-level industry from associated company records using a HubSpot workflow. Enables industry-based segmentation for targeted campaigns aligned...