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shuyu-labs
GitHub 创作者资料

shuyu-labs

按仓库查看 1 个 GitHub 仓库中的 7 个已收集 skills。

已收集 skills
7
仓库
1
更新
2026-05-06
仓库分布

Skills 分布在哪些仓库

按已收集 skill 数展示主要仓库,并显示它们在该创作者目录中的占比和职业覆盖。

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仓库与代表性 skills

webcode-local-windows-tts-installer
软件开发工程师

Use when building a local Windows WebCode installer from this repo for machine testing, especially when the package must bundle the Kokoro or sherpa-onnx Reply TTS service, model files, ffmpeg, a private Python runtime, and non-system-drive deployment without publishing a GitHub Release.

2026-05-06
office-to-md
桌面出版专家

Convert Office documents (Word, Excel, PowerPoint, PDF) to Markdown format. ONLY use this skill when the user explicitly requests to CONVERT, TRANSFORM or PARSE a specific office file into Markdown. Do NOT trigger for general questions, documentation reading, or discussions about files.

2026-01-14
skill-creator
其他计算机职业

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.

2026-01-14
skill-installer
其他计算机职业

Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).

2026-01-14
pptx
软件开发工程师

Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks

2026-01-14
distributed-task-orchestrator
其他计算机职业

Decompose complex tasks into parallel sub-agents. Use for multi-step operations, batch processing, or when user mentions "parallel", "agents", or "orchestrate".

2026-01-14
ms-agent-framework-rag
软件开发工程师

Comprehensive guide for building Agentic RAG systems using Microsoft Agent Framework in C#. Use when creating RAG applications with semantic search, document indexing, and intelligent agent orchestration. Includes scaffolding scripts, reference implementations, and documentation for vector databases, embedding models, and multi-agent workflows.

2026-01-14
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