io.github.kartegagithub/laviya-agent-skills

编码与调试

by kartegagithub

为 IDE 与 agent 集成提供 Laviya AI Orchestration 的 MCP runtime,便于扩展与编排。

什么是 io.github.kartegagithub/laviya-agent-skills

为 IDE 与 agent 集成提供 Laviya AI Orchestration 的 MCP runtime,便于扩展与编排。

README

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:

bash
npm install laviya-agent-skills

Example usage:

js
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.

常见问题

io.github.kartegagithub/laviya-agent-skills 是什么?

为 IDE 与 agent 集成提供 Laviya AI Orchestration 的 MCP runtime,便于扩展与编排。

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