주: 이 저장소에는 Baidu AI Cloud의 공식 컬렉션이 포함되어 있습니다. 에이전트 스킬 표준에 대한 정보는 Agentkills.io를 참조하십시오.

BCE 기술

Skills are folders of instruction, scripts, and resources that Claude loads dynamically to improve performance on professional task. Skills teaching Claude How to complete specific task in a repeatable way, 그것이 Baidu AI 클라우드 서비스와 통합 여부, BCE 특정 워크플로우를 사용하여 데이터 처리, 또는 클라우드 고유 작업 자동화.

더 많은 정보를 원하시면:

• 에이전트 스킬 사양
• 기술이란?
• Claude의 기술 사용
• 맞춤 기술을 만드는 방법

이 저장소에 대해

이 저장소는 ** Baidu AI Cloud (BCE)**에 의해 유지되는 공식 기술 모음입니다. Baidu AI Cloud 생태계 통합 및 중국 언어 지원에 중점을 둔 Claude의 기술 시스템을 사용하여 가능한 것을 보여주는 기술을 포함합니다.

각 기술은 Claude가 사용하는 지침 및 메타데이터를 포함하는 SKILL.md] 파일로 자체 폴더에 보관됩니다. 이 기술을 통해 탐색하거나 다른 패턴과 접근법을 이해하기 위해 영감을 얻을 수 있습니다.

Note: This repository contains Baidu AI Cloud’s official collection of skills for Claude. For information about the Agent Skills standard, see agentskills.io.

BCE Skills

Skills are folders of instructions, scripts, and resources that Claude loads dynamically to improve performance on specialized tasks. Skills teach Claude how to complete specific tasks in a repeatable way, whether that’s integrating with Baidu AI Cloud services, processing data using BCE-specific workflows, or automating cloud-native tasks.

For more information, check out:

• Agent Skills Specification
• What are skills?
• Using skills in Claude
• How to create custom skills

About This Repository

This repository is the official skills collection maintained by Baidu AI Cloud (BCE). It contains skills that demonstrate what’s possible with Claude’s skills system, with a focus on Baidu AI Cloud ecosystem integration and Chinese language support.

Each skill is self-contained in its own folder with a SKILL.md file containing the instructions and metadata that Claude uses. Browse through these skills to get inspiration for your own skills or to understand different patterns and approaches.

Skill Sets

• ./skills: Official BCE skill collection
• ./spec: The Agent Skills specification
• ./template: Skill template for creating new skills

Skills Content

famou-artifact-generator

Description: Create the core materials for a FaMou task from an initial idea or problem statement.

Purpose:

• Clarify requirements and generate problem.md
• Generate init.py, evaluator.py, and prompt.md
• Verify that the initial solution and evaluator can run correctly

famou-data-analysis

Description: Analyze and understand datasets used in FaMou tasks or standalone data analysis work.

Purpose:

• Understand data structure and field meanings
• Identify data quality issues such as missing values, duplicates, and anomalies
• Produce analysis conclusions and data processing suggestions

famou-experiment-manager

Description: Manage the lifecycle of FaMou experiments through configuration, submission, and result retrieval.

Purpose:

• Check famou-ctl availability and API configuration
• Find config.yaml and submit experiments
• Query status, inspect logs, delete experiments, and fetch results

famou-result-visualization

Description: Convert a final Python-form FaMou solution into an interactive visualization page.

Purpose:

• Read and understand the structure of the solution
• Choose a suitable visualization style for the problem type
• Generate an HTML page to display the final solution result

baidu-document-parser