현재 세션에서 한 작업(또는 주어진 텍스트·파일)을 비전문가·미래의 자신도 이해하도록 쉽게 풀어 설명하는 인터랙티브 HTML 페이지 생성. 목차·단계별 펼침접힘·핵심요약·용어풀이 포함. ~/Desktop 저장 후 자동 오픈. 트리거: "쉽게 설명", "정리해줘", "복기", "풀어서 설명", "이해하기 쉽게", "설명해줘", "요약해줘".
Turn any rough prompt, half-formed idea, or task description into a finished, ready-to-send prompt optimized for Opus 4.7 (with adaptive thinking) inside the chat app — Codex.ai, the Mac app, the iOS app — NOT the API. Use this skill whenever the user wants to write, rewrite, optimize, improve, sharpen, or polish a prompt for the chat app. Trigger phrases include "rewrite this prompt", "make this a better prompt", "optimize this prompt", "turn this into a prompt", "help me prompt this", "draft a prompt that...", "I want to ask...", or whenever the user pastes a draft prompt and asks for improvements. Also trigger when the user describes a task they plan to send into the chat app and clearly wants a reusable, well-structured prompt rather than a direct answer. The output is always a single, copy-pasteable prompt in a code block that the user sends as-is — never a template with placeholders. Always ends with the exact line "Think before answering (maximum reasoning)".
Use this when you need to EVALUATE OR IMPROVE or OPTIMIZE an existing LLM agent's output quality - including improving tool selection accuracy, answer quality, reducing costs, or fixing issues where the agent gives wrong/incomplete responses. Evaluates agents systematically using MLflow evaluation with datasets, scorers, and tracing. IMPORTANT - Always also load the instrumenting-with-mlflow-tracing skill before starting any work. Covers end-to-end evaluation workflow or individual components (tracing setup, dataset creation, scorer definition, evaluation execution).
Codex 세션 탐색 및 분석. agf 데이터 소스(history.jsonl)를 활용한 세션 리스트 조회, 검색 및 상세 분석. "세션 목록", "session list", "세션 검색", "session search", "agf" 등의 요청 시 자동 적용.
Analyzes an MLflow session — a sequence of traces from a multi-turn chat conversation or interaction. Use when the user asks to debug a chat conversation, review session or chat history, find where a multi-turn chat went wrong, or analyze patterns across turns. Triggers on "analyze this session", "what happened in this conversation", "debug session", "review chat history", "where did this chat go wrong", "session traces", "analyze chat", "debug this chat".
Analyzes a single MLflow trace to answer a user query about it. Use when the user provides a trace ID and asks to debug, investigate, find issues, root-cause errors, understand behavior, or analyze quality. Triggers on "analyze this trace", "what went wrong with this trace", "debug trace", "investigate trace", "why did this trace fail", "root cause this trace".
Create professional, dark-themed architecture diagrams as standalone HTML files with SVG graphics. Use when the user asks for system architecture diagrams, infrastructure diagrams, cloud architecture visualizations, security diagrams, network topology diagrams, or any technical diagram showing system components and their relationships.
브런치 블로그 글 작성을 도와주는 Skill. 사용자가 초안 파일(.md)을 @멘션하면서 "브런치", "글 작성", "블로그 글" 등을 언급하면 활성화. vault-intelligence 시스템으로 관련 자료를 검색하고, 구조 제안, 스타일 체크 등을 수행. 단, Codex가 직접 글을 쓰지 않고 사용자의 글쓰기를 보조하는 역할.