Construct and run memcli commands for inspecting and modifying Memrise courses.
npx skills add https://github.com/dvcrn/skills --skill memrise
Please help me install this Agent Skill. Skill: memrise Source: https://github.com/dvcrn/skills/tree/main/plugins/memrise/skills/memrise Command: npx skills add https://github.com/dvcrn/skills --skill memrise
This Skill removes guesswork when constructing and running memcli commands to inspect, diagnose, and modify Memrise courses, levels, pools, and items, reducing errors and unsafe write operations.
Use the memrise skill to generate a memcli command that lists levels for course 6711617 with JSON output and includes empty levels.
High-intent search queries and answers about installing and using this skill.
To automate adding words to a Memrise course via CLI, use memcli commands with JSON column inputs for script-friendly processing. This enables downstream automation and CI integration by validating target IDs and column mappings before executing write operations.
The safest way to inspect and modify Memrise levels and pools is a read-first validation workflow using memcli. This involves verifying target IDs and column mappings, and testing with sandbox inserts before performing bulk updates to prevent unsafe write operations.
Yes, you can get JSON output from memcli commands for scripting by applying the --output json flag. This formats course, level, and pool data for easy parsing in downstream scripts and automation pipelines.
To list empty levels in a Memrise course for maintenance, construct a memcli command using the --include-empty flag. This ensures all levels are returned during course inspection, allowing accurate auditing of course structures.
Yes, you need environment variables for Memrise CLI authentication. The memcli tool requires proper environment-variable authentication setup to securely access and modify your Memrise courses, levels, and pools.
Limitations of using memcli for course management include the risk of unsafe write operations if target IDs and column mappings are not validated beforehand. It requires strict read-first validation and sandbox testing to avoid corrupting course data during bulk updates.
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