AI・機械学習 AI スキル

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btech-cse-interview-prep

A comprehensive interview preparation skill for BTech CSE students covering DSA, OS, OOPs, CN, DBMS, Aptitude, System Design and all core CS subjects. Use this skill whenever a student asks about technical interview questions, placement prep, coding problems, aptitude practice, CS fundamentals, or subject wise revision. Trigger this skill even if the student says things like "explain for interview", "placement prep", "what are common questions in", "practice problems on", "how to answer in interview", or any variation of exam or interview readiness for computer science topics.

開発者

prompt-engineering-canvas

A structured, repeatable workflow for designing, scoring, and iterating on LLM prompts. Use this skill whenever a user wants to build, improve, or formalize a prompt — for any or any agent. Trigger on phrases like "help me write a prompt", "build a system prompt", "design a prompt for", "how should I prompt Claude to", "let's engineer a prompt", "make a prompt for", or any time a user is about to hardcode instructions into an AI feature without a structured process. Also trigger when a user says "my prompt isn't working" or asks to improve an existing prompt.

開発者

e-plc-ladder

e-plc 웹 에디터(OpenPLC + EtherCAT + CM5 기반, 미쯔비시 MELSEC 스타일)의 래더 프로그램을 자연어 요구사항으로부터 생성한다. 웹 AI 채팅 모드에서는 LLM이 7종 래더 편집 tool(insert_rung / add_element / add_connection / set_rung_comment / set_device_comment / delete_rung / delete_element)을 직접 호출해 래더를 구성하고, CLI(Claude Code) 모드에서는 writer→simulator→reviewer 3-agent 루프로 검증까지 수행한다. 두 환경 모두에서 MELSEC GX Works 스타일 니모닉을 이해하되, 실행은 e-plc-runtime이 지원하는 12 opcode(LD/LDI/AND/ANI/OR/ORI/ORB/ANB/OUT/SET/RST/END + TMR/CNT)로 한정한다. "래더 작성", "PLC 래더", "ladder program", "자기유지 회로", "타이머 지연", "모터 제어", "시퀀스 제어", "PLC 시뮬레이션", "래더 테스트" 등의 요청에 반드시 자동 적용한다.

開発者

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