mining-maintenance

Analyze mining equipment maintenance systems including heavy fleet condition monitoring (oil analysis, vibration per ISO 17359/10816, thermal imaging), predictive analytics with Weibull reliability modeling and remaining useful life estimation, PM compliance and planned-vs-unplanned work ratios, component life management for engines and transmissions, spare parts inventory optimization with critical spares strategy, shutdown planning, and maintenance maturity scoring from reactive through world-class per ISO 55000 asset management principles. It's a reusable SKILL.md instruction set that loads into your AI coding assistant on demand, no prompt engineering, no copy-pasting every session.

Run `npx @skills-hub-ai/cli install mining-maintenance` from your terminal. The CLI writes the SKILL.md to the correct location for your AI tool (e.g. ~/.claude/skills/mining-maintenance/ for Claude Code or ~/.cursor/skills/ for Cursor with --target cursor) and adds it to your project's .skills.json lockfile.

mining-maintenance runs in Claude Code. It follows the open Agent Skills standard (SKILL.md), so the same skill works in every supported tool without modification.

Yes. Every skill on skills-hub.ai is free and open-source. There are no premium tiers, paywalls, or usage limits. You only pay for whatever AI assistant you're already using.

In Claude Code, type `/mining-maintenance` (or whatever slash command the skill registers) and the AI follows the skill's instructions immediately. You can also reference it by name in natural language, your AI loads the skill into context when relevant.

Yes. Commit your project's .skills.json lockfile and teammates run `npx @skills-hub-ai/cli install` (no args) to install every skill at the exact version you pinned. Organization-scoped installs work via skills-hub.ai organizations.