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GitHub 저장소

WebCode

WebCode에는 shuyu-labs에서 수집한 skills 7개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
7
Stars
278
업데이트
2026-05-06
Forks
42
직업 범위
직업 카테고리 3개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

webcode-local-windows-tts-installer
소프트웨어 개발자

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
데스크톱 출판 전문가

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
기타 컴퓨터 관련 직업

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
기타 컴퓨터 관련 직업

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
소프트웨어 개발자

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
기타 컴퓨터 관련 직업

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
소프트웨어 개발자

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