Practice LLM-ACP exam questions and auto-grade answers within Discord chat.
npx skills add https://github.com/freedomw1987/tree_monstor --skill llm-acp-discord
Please help me install this Agent Skill. Skill: llm-acp-discord Source: https://github.com/freedomw1987/tree_monstor/tree/main/skills/llm-acp-discord Command: npx skills add https://github.com/freedomw1987/tree_monstor --skill llm-acp-discord
This Skill eliminates the hassle of switching to external browsers or tools to practice LLM-ACP exam questions, letting users answer questions, get instant feedback, and track progress directly within their Discord chat, with all attempt records automatically saved to a shared backend database.
Use the llm-acp-discord skill to start a 5-question LLM-ACP practice session by typing acp 5 in your Discord chat, then reply with your answer letters to get instant auto-grading and feedback.
High-intent search queries and answers about installing and using this skill.
You can practice LLM-ACP exam questions by typing a command prefix like acp 5 in Discord chat to pull random questions, submit answer letters, and receive instant auto-grading without leaving the app.
Auto-grading checks your submitted answers against a backend API in real-time, providing immediate correctness feedback, optional explanations, and accuracy stats during your practice session.
Yes, you can review wrong questions using specific command prefixes to access a wrong question bank, with all attempt records synced to a shared SQLite database for persistent progress tracking.
No browser is needed for LLM-ACP practice in Discord, as the skill fetches questions, submits answers, and retrieves grading results entirely through a backend API integration within your chat.
Start a batch practice session by typing acp followed by the desired number of questions in Discord, which triggers random question draws and syncs your attempts to the backend database.
Yes, your accuracy stats are preserved across sessions because all answer attempts and grading data are synced to a shared SQLite database via the backend API for persistent tracking.
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