By LightyAI
Drive the Lighty platform from Claude: point at a dataset, get discovered workflows, causal structure, and a report. Connects to the hosted Lighty MCP compute plane.
Public plugin marketplace for Lighty AI. Add it to Claude Code (or Claude Desktop) to drive the Lighty platform from your own Claude — no repo checkout required.
In a Claude Code session:
/plugin marketplace add LightyAI/lighty-plugins
/plugin install lighty-dogfood@lighty-plugins
/reload-plugins
The first time Claude connects, it opens a WorkOS sign-in in your browser —
sign in with your Lighty account and approve. There's no token or URL to set; the
hosted MCP URL (https://app.lighty.ai) is baked into the plugin. You must be a
member of the Lighty WorkOS organization — ask the Lighty team if you're not sure.
| Plugin | What it does |
|---|---|
| lighty-dogfood | Point Claude at a dataset and get back discovered workflows, causal structure, and a plain-language report. v0 dogfood. See its README for full setup, including the Claude Desktop flow. |
These plugins are thin — the compute lives in the hosted Lighty platform. Each
plugin bundles an MCP client that connects to https://app.lighty.ai; WorkOS
(browser sign-in, no token) authenticates you. See each plugin's README for details.
External network access
Connects to servers outside your machine
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimnpx claudepluginhub lightyai/lighty-plugins --plugin lighty-dogfoodA growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Persistent file-based planning for AI coding agents. Crash-proof markdown plans (task_plan.md, findings.md, progress.md) that survive context loss and /clear, with an opt-in completion gate and multi-agent shared state. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard. Includes Arabic, German, Spanish, and Chinese (Simplified and Traditional).
Harness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer