leela-ai
Manufacturing Intelligence — Leela AI applies MOOLLM to industry
npx skills add majiayu000/claude-skill-registry --skill leela-ai --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Leela AI Skill > *Manufacturing Intelligence -- from theory to industrial application.* ## Overview This skill describes how Leela AI applies MOOLLM principles to real-world manufacturing intelligence. Leela takes the theoretical foundations of Minsky, Papert, and Drescher and deploys them on factory floors. ## Core Technology ### Neural-Symbolic Vision Traditional computer vision is pattern matching. Leela's neural-symbolic system is *causal reasoning*. ```yaml neural_symbolic: layer_1: neural - object detection (what is there?) - pose estimation (how is it positioned?) - motion tracking (where is it going?) layer_2: symbolic - context inference (what situation is this?) - causal reasoning (why is this happening?) - SQL queries over temporal event database - prediction (what will happen next?) - explanation (human-readable "why") layer_3: pda # LLM interface layer - generate: natural language → SQL - perform: execute queries - interpret: results → meaning - explain: causation in plain language - visualize: charts, timelines, maps - remember: query history, preferences ``` The neural layer provides perception. The symbolic layer provides reasoning. The PDA layer provides natural
- Overview
- Core Technology
- Neural-Symbolic Vision
- Schema Mechanism (Drescher)
- Edge Computing Architecture
- Applications
- 1. Safety Monitoring
- 2. Process Optimization
- 3. Predictive Maintenance
- 4. DevOps Automation
- MOOLLM Integration
- Rooms as Zones
- Characters as Entities
- Skills as Inference Rules
What does the leela-ai skill do?
Manufacturing Intelligence — Leela AI applies MOOLLM to industry
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill leela-ai --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.