AI 短剧/漫剧创作 skill 合集,覆盖剧本、资产、分镜、图片/视频提示词到独立审查全链路,适配 Claude Code 与 Codex。| An AI short-drama skill suite for Claude Code & Codex: scripts, assets, storyboards, image/video prompts, and independent review.
Annuaire de skills
Découvrez des skills réutilisables pour les AI agents.
Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.
Résultats de recherche: ngm-lr
Annuaire en anglaisA pipeline of 7 agent skills to convert any novel into a playable web game, installable on Claude Code, Codex, and Kimi Code.
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
A cross-LLM Agent Skill that routes tasks to multiple coding backends like Codex, Claude Code, Gemini, and others from compatible agent runtimes.
A collection of reusable Claude Code skills for automating GitHub issues, PR reviews, and releases using a Fable-driven planning approach.
Generate and render Mermaid diagrams for architecture docs, READMEs, PRs, terminals, and CI as themed SVG or ASCII/Unicode art. Use this skill whenever the user provides Mermaid code or .mmd files; asks for a flowchart, sequence/state/class diagram, ERD, XY chart, or architecture/workflow/data-model visualization; or wants to beautify, theme, batch-convert, or make a diagram terminal-friendly. Runs locally without a browser or DOM, with 15 built-in themes and custom colors.
A skill collection that separates planning from execution via verifiable goals and fresh-session handoffs for AI coding agents.
Open-source agent skills for building scope-safe Markdown knowledge vaults with deterministic validation and research workflows.
A Codex skill that transforms classical Chinese poetry into immersive, scroll-driven narrative webpages with AI-generated visuals and audio.
Reusable agent skill for generating competition and defense PPTs with template-first approach and editable PPTX output.
[推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集,构建以FM和LR为核心的推荐系统).