teacher-workload

Evaluate edtech tools for their real impact on teacher time and administrative burden. Analyzes grading automation (auto-scoring, rubric-based feedback, batch workflows), lesson planning efficiency (template reuse, standards auto-tagging, pacing guide integration), parent communication systems (automated notifications, translation, conference scheduling), administrative task reduction (single-entry data flow, IEP/504 accommodation surfacing, compliance documentation), report generation (report cards, progress reports, data dashboards), and time-on-task optimization across platforms like Canvas, Schoology, PowerSchool, and Google Classroom. 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 teacher-workload` from your terminal. The CLI writes the SKILL.md to the correct location for your AI tool (e.g. ~/.claude/skills/teacher-workload/ for Claude Code or ~/.cursor/skills/ for Cursor with --target cursor) and adds it to your project's .skills.json lockfile.

teacher-workload 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 `/teacher-workload` (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.