MooseGoose0701
- 10 skills
- 0 followers
- 1 week ago last updated
- ▌ Trace QA · moosegoose0701 bundleAnalyze and answer questions about agent execution traces. Use this skill when the user asks about a trace, wants to debug a failed agent run, understand what an agent did, analyze token usage or efficiency, or asks "what happened in trace X". Triggers: trace analysis, trace debugging, trace QA, execution review, agent run review.
- ▌ MCP Builder · moosegoose0701 bundleGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
- ▌ Humanizer Zh · moosegoose0701去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式：夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、 AI 词汇、否定式排比、过多的连接性短语。
- ▌ Skill Creator · moosegoose0701 bundleGuide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
- ▌ Skill Evolver · moosegoose0701 bundleAnalyze skill execution traces to identify issues and automatically evolve/improve skills. Use when users provide trace files (JSON) from skill runs and want to improve skill performance based on real execution data. Triggers on requests like "analyze traces", "evolve skill based on traces", "improve skill from execution history", "find issues in skill traces", or when working with skill trace/log files.
- ▌ Skill Updater · moosegoose0701 bundleUpdate existing skills based on feedback. Use when users want to improve or modify an existing skill by providing feedback about what needs to change. Triggers on requests like "update this skill", "improve the skill based on feedback", "fix the skill", or when users provide feedback about skill performance.
- ▌ Skills Planner · moosegoose0701Plan which skills are needed to fulfill user requirements. Use when the user wants to design an agent workflow, plan skill composition, or determine what skills are needed for a task. Input includes user requirements and existing skills list. Output includes recommended existing skills, new skills to create, and a system prompt for the composed agent.
- ▌ Gemini Imagegen · moosegoose0701Generate and edit images using Google Gemini's native image generation models (Nano Banana / Nano Banana Pro). Supports text-to-image, image editing with reference images, multi-image composition, and character consistency. Use when the user asks to generate images via Gemini, create AI illustrations, edit photos with Gemini, or needs high-quality image generation with the Google API. Requires GEMINI_API_KEY. Triggers: "generate image with gemini", "nano banana", "gemini image", "create illustration", "AI generate picture", "text to image".
- ▌ Storyboard To Slides · moosegoose0701Assemble a PPTX slide deck from a storyboard CSV and images using python-pptx. Supports multiple slide layouts (full background, left-image-right-text, two-column, etc.), custom themes, fonts, and cover design. Use when the user wants to build a PowerPoint presentation from a structured plan, compose slides from images and text, or create a polished deck from a storyboard CSV. Triggers: "build slides", "create pptx", "assemble presentation", "make PowerPoint", "storyboard to slides", "generate deck".
- ▌ Markdown To Storyboard · moosegoose0701Convert markdown content into a structured storyboard CSV for slide decks, video scripts, or any sequential visual media. Use when the user wants to plan a presentation, break down an article into slides, create a shot list, or generate a scene-by-scene outline from text. Triggers: "plan slides", "create storyboard", "break this into slides", "plan presentation", "outline this as a deck", "article to slides", "text to storyboard".