Lightrun

AI-powered live runtime debugging with Lightrun production context.

GitHub

Lightrun AI

A collection of reusable skills for investigating runtime issues with Lightrun.

What is in this repository

  • skills/ — skill folders (SKILL.md, plus optional assets/scripts)
  • .cursor-plugin/ — Cursor plugin metadata
  • .claude-plugin/ — Claude plugin metadata
  • .cursor/mcp.json — Cursor MCP server configuration used by the plugin metadata

Available skills

  • lightrun-live-runtime-debugging — deterministic live-runtime investigation workflow with preflight checks, evidence capture, and handoff output.
  • lightrun-error-remediation-automation — error remediation automation workflow with root cause analysis, mitigation strategies, and automated fixes.

Demos

Installation

Cursor

  1. Open Cursor.
  2. Add plugin from repository URL (or local path).
  3. Use this repository URL: https://github.com/lightrun-platform/lightrun-ai

Claude

This repository includes:

  • .claude-plugin/plugin.json
  • .claude-plugin/marketplace.json

Use your Claude plugin/marketplace flow to install from this repository.

Codex

Codex loads skills from .agents/skills locations.

  1. Copy or symlink skill folders from skills/ into one of:
    • $REPO_ROOT/.agents/skills
    • $HOME/.agents/skills
  2. Restart/reload Codex if needed.

Requirements

  • Access to Lightrun MCP server
  • Completed MCP OAuth authorization for your environment

Contributing

  1. Add a new folder under skills/<skill-name>/.
  2. Add SKILL.md with YAML frontmatter (name, description).
  3. Add optional assets/scripts if needed.
  4. Update marketplace/plugin metadata when adding publishable skills.

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