Laviya Agent Skills

Laviya AI Orchestration MCP runtime for IDE and agent integrations.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "laviya-agent-skills": {
      "command": "npx",
      "args": [
        "-y",
        "laviya-agent-skills"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Laviya Agent Skills

Laviya Agent Skills is a repository of reusable orchestration assets for IDE and agent integrations. It provides a production-oriented MCP runtime, shared orchestration prompt assets, and client-specific artifacts for tools such as Cursor and Claude.

Packages

laviya-agent-skills: reusable prompt, rule, and skill asset bundle for Node-based tooling
laviya-mcp-server: stdio MCP runtime published from mcp/

What Is Included

core/: shared orchestration prompt assets
mcp/: TypeScript MCP runtime scaffold (laviya-mcp-server)
cursor/: Cursor rule artifacts
claude/: Claude skill artifacts
docs/: setup, npm publishing, and end-user onboarding guides

Repository Structure

text

laviya-agent-skills/
  core/
  mcp/
    src/
    examples/
    README.md
  cursor/
  claude/
  docs/
    Setup.md
    MCPServerPublish.md
    InstallationAndUsage.md

Quick Start

bash

cd mcp
npm install
npm run typecheck
npm run build
npm run dev

Required environment variable:

LAVIYA_API_KEY

Installable Asset Package

Install the reusable asset bundle:

Terminal

npm install laviya-agent-skills

Example usage:

server.ts

import { assets, resolveAssetPath } from "laviya-agent-skills";
import { readFileSync } from "node:fs";

const cursorRule = readFileSync(assets.cursorRule, "utf8");
const orchestratorPrompt = readFileSync(resolveAssetPath("orchestratorSystemPrompt"), "utf8");

Documentation Index

Runtime architecture and implementation: mcp/README.md
Developer setup guide: docs/Setup.md
NPM publishing guide: docs/MCPServerPublish.md
End-user installation and usage: docs/InstallationAndUsage.md
Client-specific MCP setup (Codex, VS Code, Antigravity, Claude): docs/InstallationAndUsage.md

Runtime Overview

The MCP runtime follows a global-runtime plus project-local-config model:

machine-level runtime installation
repository-level project configuration (.laviya/project.json or .laviya.json)
runtime-enforced lifecycle mechanics (validation, retries, idempotency, and structured logging)

Current MCP tool set includes both orchestration and local-direct task feed flows:

laviya_help
laviya_feed_task
laviya_get_local_work_status
laviya_cancel_local_work
laviya_add_task_comment
laviya_get_my_work
laviya_start_execution
laviya_complete_execution
laviya_report_token_usage
laviya_diagnostics

All tools return API envelope JSON text in the shape: { HasFailed, Messages, Data }.

Work items may include a backend-defined ExecutionPolicy. Analysis and review policies are read-only: agents must not implement changes, and enforced policies require matching completion executionEvidence and summary policyCompliance.

For full architecture details and file-level scaffolding, refer to mcp/README.md.

Read the full README →View source on GitHub →

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Frequently Asked Questions about Laviya Agent Skills

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "laviya-agent-skills": { "command": "npx", "args": ["-y", "laviya-agent-skills"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

29Quality signal: Emerging · 29/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Laviya Agent Skills →Install in Claude Desktop Install in Cursor Install in VS Code

Documentation Overview

Laviya Agent Skills

Packages

laviya-agent-skills: reusable prompt, rule, and skill asset bundle for Node-based tooling
laviya-mcp-server: stdio MCP runtime published from mcp/

What Is Included

core/: shared orchestration prompt assets
mcp/: TypeScript MCP runtime scaffold (laviya-mcp-server)
cursor/: Cursor rule artifacts
claude/: Claude skill artifacts
docs/: setup, npm publishing, and end-user onboarding guides

Repository Structure

text

laviya-agent-skills/
  core/
  mcp/
    src/
    examples/
    README.md
  cursor/
  claude/
  docs/
    Setup.md
    MCPServerPublish.md
    InstallationAndUsage.md

Quick Start

bash

cd mcp
npm install
npm run typecheck
npm run build
npm run dev

Required environment variable:

LAVIYA_API_KEY

Installable Asset Package

Install the reusable asset bundle:

Terminal

npm install laviya-agent-skills

Example usage:

server.ts

import { assets, resolveAssetPath } from "laviya-agent-skills";
import { readFileSync } from "node:fs";

const cursorRule = readFileSync(assets.cursorRule, "utf8");
const orchestratorPrompt = readFileSync(resolveAssetPath("orchestratorSystemPrompt"), "utf8");

Documentation Index

Runtime architecture and implementation: mcp/README.md
Developer setup guide: docs/Setup.md
NPM publishing guide: docs/MCPServerPublish.md
End-user installation and usage: docs/InstallationAndUsage.md
Client-specific MCP setup (Codex, VS Code, Antigravity, Claude): docs/InstallationAndUsage.md

Runtime Overview

The MCP runtime follows a global-runtime plus project-local-config model:

machine-level runtime installation
repository-level project configuration (.laviya/project.json or .laviya.json)
runtime-enforced lifecycle mechanics (validation, retries, idempotency, and structured logging)

Current MCP tool set includes both orchestration and local-direct task feed flows:

laviya_help
laviya_feed_task
laviya_get_local_work_status
laviya_cancel_local_work
laviya_add_task_comment
laviya_get_my_work
laviya_start_execution
laviya_complete_execution
laviya_report_token_usage
laviya_diagnostics

All tools return API envelope JSON text in the shape: { HasFailed, Messages, Data }.

For full architecture details and file-level scaffolding, refer to mcp/README.md.

Frequently Asked Questions about Laviya Agent Skills

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "laviya-agent-skills": { "command": "npx", "args": ["-y", "laviya-agent-skills"] } }