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Create or update a Codex skill with appropriately scoped instructions and any needed supporting resources.

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Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, valid manifest defaults, and personal-marketplace entries by default. Use when Codex needs to create a new personal plugin, add optional plugin structure, generate or update marketplace entries for plugin ordering and availability metadata, or update an existing local plugin during development with the CLI-driven cachebuster and reinstall flow.

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Guide for creating effective skills. Use when users want to create or update a skill that extends agent's capabilities.

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Encode Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great. From the creator of Sonner (13M+ weekly npm downloads), Vaul, animations.dev, and Linear's web team. Use when user wants to polish UI, audit animations, review component interactions, add micro-feedback, or elevate motion quality.

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Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

日本語の概要は準備中です。原文の説明を表示しています。

Creates RPC-style endpoint following layered architecture (Controller → Manager → Repository). Use when creating new API endpoints or CRUD operations.

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Creates database table with full Kotlin synchronization (SQL migration → Table → Entity → Repository → Tests). Use when adding new database tables or entities.

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Creates FastAPI endpoints with layered architecture (Router → Service → Repository). Use when creating new API endpoints, CRUD operations, or scaffolding a new domain module in a FastAPI project.

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Create or extend reusable Terraform modules with proper structure, interfaces, and documentation. Use when building new infrastructure modules or extending existing ones.

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Spec CLI surface area before implementation - command tree, flags, exit codes, I/O contract. Use when designing or planning a CLI interface.

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产品宣传片制作总控流程。串联 6 个 Skills，按阶段执行并暂停确认。从产品 URL 到带 BGM 成片 MP4 的全自动流水线。当用户提到"做个宣传片""promo""产品视频""项目介绍视频"时触发。

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使用 HyperFrames 将所有素材按分镜时间码串联，添加文字层、动画、转场，渲染成完整宣传片 MP4。这是整个流程的核心渲染引擎。当素材确认后自动进入。

日本語の概要は準備中です。原文の説明を表示しています。

宣传片逐镜头分镜脚本。根据创意简报生成每个 Shot 的 7 维画面描述和详细 HyperFrames 提示词，是整条视频质量的关键。当用户确认 brief 后自动进入。

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产品宣传片创意简报。输入产品说明或 GitHub 链接，自动抓取产品信息，提炼核心卖点，推荐视觉风格和叙事结构。当用户提到"宣传片""promo""产品视频""做个视频介绍""项目宣传"时触发。

日本語の概要は準備中です。原文の説明を表示しています。

为产品宣传片生成高度贴合画面节奏的 BGM 方案与音乐生成 Prompt。读取 brief、storyboard、EDL、DESIGN 或成片，输出音乐风格、BPM、情绪曲线、卡点表、Mureka/Skywork Music Maker 英文 prompt、负面 prompt 和剪辑建议。当用户要“配乐”“BGM”“背景音乐”“音乐 prompt”“卡点”“按转场做音乐”时触发。

日本語の概要は準備中です。原文の説明を表示しています。

宣传片两包素材生产。Pack A 使用当前可用图片生成能力生成产品图、概念图、UI 模拟图或风格补充图；Pack B 使用官网、应用截图、浏览器搜索、GitHub 或开源素材收集真实产品信号。当 storyboard 确认后进入。

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Comprehensive social media management for all platforms (LinkedIn, Twitter/X, Instagram, TikTok, Facebook, Pinterest, YouTube). Covers content creation, content pillars, hook formulas, repurposing across platforms, platform-optimized graphics/visuals, content calendar, engagement strategy, analytics/ROI analysis, AI-powered content generation, and scheduling best practices. Use for: social media content, LinkedIn post, Twitter thread, Instagram reels, TikTok, content calendar, social scheduling, engagement strategy, social analytics, social media ROI, content repurposing, social graphics, thumbnails, captions, hashtags, viral content, content creator, social media manager, AI content generation, social media audit.

日本語の概要は準備中です。原文の説明を表示しています。

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

日本語の概要は準備中です。原文の説明を表示しています。

Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."

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Expert skill for building CLI applications with Cobra and Viper, authored by spf13 — the original creator of both libraries. Covers command-first architecture, decoupled business logic, configuration management, environment variable binding, context-aware commands, and in-memory CLI testing. Use whenever a Go CLI or command-line tool is being built, reviewed, or refactored — any mention of commands, subcommands, flags, or CLI configuration, even if Cobra or Viper aren't named yet (recommend them).

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Authors or extends a skill in mc-agent-toolkit. Gates for forbidden buckets and name collisions, applies CONTRIBUTING's extend-or-split rules, then edits a peer skill or hands off to Anthropic's skill-creator and walks the registration checklist.

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Search TikTok e-commerce store leaderboards via Kalodata and query detailed information for specific stores. Supports viewing high-ranking, high-sales TikTok Shop stores by region, currency, language, and date range, and using shopId to retrieve revenue, sales volume, on-sale product count, self-operated/affiliate/shopping mall channel revenue, and creator collaboration count. Trigger when users mention TikTok store ranking, TikTok shop leaderboard, TikTok top shops, TikTok store ranking, TikTok Shop store ranking, kalodata store search, kalodata store ranking, TikTok store detail, TikTok shop profile, store revenue, store sales, TikTok shop ranking, TikTok shop leaderboard, TikTok top shops, TikTok store ranking, TikTok shop detail, TikTok store detail, kalodata shop search/detail. Even if the user does not explicitly mention "kalodata", trigger this skill whenever their need involves viewing TikTok store leaderboards or detailed data for a specific TikTok store.

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Search and analyze TikTok video data, filter videos by region, creator, product, category, views, duration, publish time, selling/ad/AI video flags, and return views, likes, comments, shares, favorites, video sales and GMV metrics across 16 TikTok Shop sites. Trigger when users mention TikTok video search, TikTok video list, TikTok promotional videos, TikTok video data, TikTok video views, TikTok video sales, TikTok video analytics, Nexscope video, TikTok video search, TikTok video list, TikTok video analytics, TikTok promotional videos, TikTok video views, TikTok video engagement. Even if the user does not explicitly mention "Nexscope" or "TikTok", trigger this skill whenever their need involves searching or analyzing TikTok video performance metrics by criteria.

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Query TikTok Shop store (seller) details, retrieving a complete store profile by sellerId with total sales, multi-period (1d/7d/30d/90d) sales and GMV, followers, rating, review count, positive feedback rate, delivery rate, response rate, in-store product count, promoting creator count, promotional video count, livestream count, price range, product categories, and estimated listing time. Trigger when users mention TikTok store detail, TikTok seller detail, TikTok store analysis, TikTok store data, TikTok store profile, TikTok Shop store detail, TikTok seller detail, Nexscope store profile. Even if the user does not explicitly mention "Nexscope" or "TikTok", trigger this skill whenever their need involves querying the full detail/profile of a specific TikTok Shop store (with a known sellerId).

日本語の概要は準備中です。原文の説明を表示しています。