lightrun
Lightrun's runtime investigation toolkit for Claude Code. Guides deterministic, evidence-first debugging of live applications by capturing r
Open source Repository Open in the app JSON README (API)
About
Lightrun's runtime investigation toolkit for Claude Code. Guides deterministic, evidence-first debugging of live applications by capturing real production behavior — variable state, stack traces, and execution flow — without redeploys or service restarts. Includes a mandatory preflight check that grounds investigations in actual runtime evidence, plus a blocker-aware handoff format that produces structured, reproducible debugging reports for engineering teams.
Details
- Kind
- Plugins
- Topic
- Developer tools
- Publisher
- lightrun-platform
- Origin
- marketplace
- Category
- ferramentas
- Stars
- 27
- Last push
- 2026-08-18T09:20:00Z
- Repository state
- ativo
- Added
- 2026-08-30 01:48:58
- Updated
- 2026-08-30 01:48:58
- Origin id
lightrun-platform/lightrun-ai/lightrun
README
# 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. - `lightrun-ask-prod` — live production runtime question answering for current values, durations, hit counts, and distributions. - `lightrun-slow-execution-diagnosis` — diagnosis for slow endpoints, latency or SLO regressions, timeouts, deadlines, and hangs. - `lightrun-runtime-aware-pr-review` — pull request review workflow that combines live runtime samples with diff-aware risk analysis. ## Demos - [Codex live debugging demo](https://www.youtube.com/watch?v=bIaa5_MeKlg) - [Claude live debugging demo](https://www.youtube.com/watch?v=2RKvQTBs3pk) ## 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.