Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Tool for navigating large markdown files, providing outline and section extraction. When dealing with large markdown files, need to get outline of sections, extract specific section content. Symptoms - large markdown files, need to navigate structure without reading whole file, extract sections for focused reading, documentation navigation, changelog parsing.
When referencing files, format them as markdown links with line numbers using GitHub-style #L syntax.
A symbolic slide image for a document passage, consistent with the artifact's companion images. Use when the user wants a diagram or visual symbol for a section. Composes /forge + Codex.
将课程课件、作业文件（PDF、DOCX、Markdown、HTML、图片等）、课堂代码和历史答案格式转成简洁的大学生风格 Markdown 作业答案，并可由主 agent 按模块调度子代理解题与 review。Use when asked to complete course homework, read homework files in varied formats, match homework to lectures/slides/code, use methods taught in class, imitate previous hw*_solution Markdown style, create solution folders, decompose assignments across subagents, or generate necessary scripts, figures, or data files for homework submissions.
MiniMax-native multimodal workflow for image, video, voice, music, and media-processing tasks. Use when the user asks to generate image/video/audio assets, wants MiniMax-specific media APIs, needs TTS or voice workflows, wants reproducible local media outputs, or needs FFmpeg-style processing around generated media. M3's native multimodal input means image/video inputs can be fed directly to the model for grounded decisions in coding work.
Guide for analyzing chess positions from images and determining optimal moves. This skill should be used when asked to find the best move, checkmate, or tactical solution from a chess board image. It provides structured approaches for image-based chess analysis, piece detection calibration, position validation, and move verification.
Guide for regenerating Axone contract schemas and rendered Markdown docs. Use when contract APIs or metadata change, when checking generated-doc drift, or when preparing documentation commits.
Guidance for extracting text-based game commands, moves, or inputs from video recordings using OCR and frame analysis. This skill applies when extracting user inputs from screen recordings of text-based games (Zork, interactive fiction), terminal sessions, or any video where typed commands need to be recovered. It covers OCR preprocessing, region-of-interest extraction, domain-aware validation, and deduplication strategies.
Decode and interpret text content from G-code files by analyzing toolpath geometry and coordinate patterns. This skill should be used when extracting text, letters, or symbols that are encoded as movement commands in G-code files (e.g., 3D printing, CNC engraving, laser cutting). Applies to tasks like identifying what text a G-code file will print/engrave, reverse-engineering embossed or engraved text from toolpaths, or visualizing G-code geometry to reveal hidden content.