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Topic: gemini

1,485 skills in this topic.

vercel-react-best-practices React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
ArcReel/ArcReel 1,657
web-design-guidelines Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
ArcReel/ArcReel 1,657
release 项目发版流程：询问版本步进类型，更新前后端版本号，锁定依赖，提交、打 tag 并推送。当用户提到"发版"、"release"、"bump version"、"升版本"、"打 tag"、"发布新版本"时使用此 skill。
ArcReel/ArcReel 1,657
compose-video 视频后期处理与合成。当用户说"加背景音乐"、"合并视频"、"加片头片尾"、想为成片添加 BGM、或需要将多集视频拼接时使用。
ArcReel/ArcReel 1,657
generate-characters 生成角色设计参考图（三视图）。当用户说"生成角色图"、"画角色设计"、想为新角色创建参考图、或有角色缺少 character_sheet 时使用。确保视频中角色形象一致。
ArcReel/ArcReel 1,657
generate-clues 生成线索设计参考图（道具/环境）。当用户说"生成线索图"、"画道具设计"、想为重要物品或场景创建参考图、或有 major 线索缺少 clue_sheet 时使用。确保跨场景视觉一致。
ArcReel/ArcReel 1,657
generate-grid 生成宫格分镜图。当用户说"生成宫格"、"宫格生图"、"宫格模式生成分镜"时使用。自动按 segment_break 分组，选择最优宫格大小，生成首尾帧链式宫格图并切割分配。
ArcReel/ArcReel 1,657
generate-script 使用 Gemini API 生成 JSON 剧本。由 create-episode-script subagent 调用。读取 step1 中间文件和 project.json，调用 Gemini 生成符合 Pydantic 模型的 JSON 剧本。
ArcReel/ArcReel 1,657
generate-storyboard 为剧本场景生成分镜图。当用户说"生成分镜"、"预览场景画面"、想重新生成某些分镜图、或剧本中有场景缺少分镜图时使用。自动保持角色和画面连续性。
ArcReel/ArcReel 1,657
generate-video 为剧本场景生成视频片段。当用户说"生成视频"、"把分镜图变成视频"、想重新生成某个场景的视频、或视频生成中断需要续传时使用。支持整集批量、单场景、断点续传等模式。
ArcReel/ArcReel 1,657
manage-project 项目管理工具集。使用场景：(1) 分集切分——探测切分点并执行切分，(2) 批量添加角色/线索到 project.json。提供 peek（预览）+ split（执行）的渐进式切分工作流，以及角色/线索批量写入。
ArcReel/ArcReel 1,657
manga-workflow 将小说转换为短视频的端到端工作流编排器。当用户提到做视频、创建项目、继续项目、查看进度时必须使用此 skill。触发场景包括但不限于："帮我把小说做成视频"、"开个新项目"、"继续"、"下一步"、"看看项目进度"、"从头开始"、"拆集"、"自动跑完流程"等。即使用户只说了简短的"继续"或"下一步"，只要当前上下文涉及视频项目，就应该触发。不要用于单个资产生成（如只重画某张分镜图或只重新生成某个角色设计图——那些有专门的 skill）。
ArcReel/ArcReel 1,657
greeting-user Explains how to properly greet the user
langchain4j/langchain4j 11,558
greeting-user Explains how to properly greet the user
langchain4j/langchain4j 11,558
test-skill test description
langchain4j/langchain4j 11,558
using-process-tool Describes how to correctly use 'process' tool
langchain4j/langchain4j 11,558
skill_search
lsdefine/GenericAgent 896
add-new-entry Workflow and tools for adding new entries from temp.md to the section files. Includes legend format, section reference, code tools, and common pitfalls. USE FOR: Adding new resources to the knowledge base. DO NOT USE FOR: Editing existing entries or restructuring sections.
kimtth/awesome-azure-openai-llm 398
classify-temp-entries-to-section Classification guidelines for entries in temp_entries.md. Each entry have its own title with the markdown file name and section name in temp_entries.md. USE FOR: Classifying new entries in temp_entries.md into *.md in the section files. DO NOT USE FOR: 1) Adding new entries to temp_entries.md; 2) Moving entries between sections.
kimtth/awesome-azure-openai-llm 398
update-app-count Workflow for updating the popular LLM applications pool (section/x_llm_apps.md) using get_app_list_by_github_star.py. Covers full refresh, alternate exports, topic tuning, and common pitfalls. USE FOR: Refreshing the ranked GitHub applications list linked from applications.md. DO NOT USE FOR: Hand-curating application entries inside applications.md or adding GitHub star badges to the generated file.
kimtth/awesome-azure-openai-llm 398
update-cite-count Guidelines for updating citation counts for papers in the section files using the `update_citation_counts.py` tool. USE FOR: Updating citation counts for papers listed in the section files to keep information current. DO NOT USE FOR: 1) Adding new papers to the section files; 2) Classifying entries into sections.
kimtth/awesome-azure-openai-llm 398
update-llm-pool Workflow for updating the LLM landscape paper pool (section/x_llm_papers.md) using fetch_llm_papers.py. Covers full re-fetch, resume from checkpoint, and adding new topics. USE FOR: Refreshing citation counts, expanding topic coverage. DO NOT USE FOR: Adding hand-curated entries to section files (use add-new-entry), updating RAG/Agent citation sections in best_practices.md (use update-cite-count).
kimtth/awesome-azure-openai-llm 398
add-model Add a new language model to the Giselle codebase. Use when the user wants to add, register, or integrate a new LLM model (OpenAI, Anthropic, Google) into the system.
giselles-ai/giselle 510
agent-aware-cli Guide for designing and implementing command-line interfaces (CLIs) that are equally usable by human developers and automated coding agents. Use when the user wants to build a CLI, apply CLI best practices, or use Go with Cobra and Viper.
GoogleCloudPlatform/vertex-ai-creative-studio 1,034