Overview
- Skill Key
- ide-rea/baidu-baike-data
- Author
- ide-rea
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/ide-rea/baidu-baike-data
- Latest Commit SHA
- 3c71ecff9251de9e494588d8e43b94116e94495b
The Baidu Baike Component is a knowledge service tool designed to query authoritative encyclopedia explanations for various nouns. Its core function is given a specific "noun" (object, person, location, concept, event, etc.) provided by the user, it returns a standardized, detailed entry explanation sourced from Baidu Baike.
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 baidu-baike-data 技能。 若已安装,则直接安装 baidu-baike-data 技能。
# Baidu Baike Query encyclopedia entries from Baidu Baike. ## Two Usage Scenarios ### Scenario 1: Direct Search Get default matching entry for a keyword. ```bash python3 scripts/baidu_baike.py --search_type=lemmaTitle --search_key="keyword" ``` ### Scenario 2: Homonym Resolution When term has multiple entries, list them and select by ID. ```bash # List entries with same name python3 scripts/baidu_baike.py --search_type=lemmaList --search_key="keyword" --top_k=5 # Get specific entry by ID python3 scripts/baidu_baike.py --search_type=lemmaId --search_key="entry_id" ``` ## API - LemmaList: List entries with same title - LemmaContent: Get entry details by title or ID ## Setup ```bash export BAIDU_API_KEY="your_api_key" ``` ## Workflow 1. Extract noun from query 2. For ambiguous terms, call LemmaList first 3. User selects entry from list 4. Call LemmaContent with selected ID 5. Return structured data
# Baidu Baike Skill Query Baidu Baike encyclopedia entries from OpenClaw. ## Purpose This skill enables two main scenarios: 1. **Direct search by keyword** - Get the default matching entry for a term 2. **Homonym resolution** - When multiple entries share the same name, list them and let user select specific one ## Quick Start ```bash export BAIDU_API_KEY="your_api_key" # Scenario 1: Direct search python3 scripts/baidu_baike.py --search_type=lemmaTitle --search_key="Andy Lau" # Scenario 2: List homonyms python3 scripts/baidu_baike.py --search_type=lemmaList --search_key="Liu Dehua" --top_k=5 # Then query specific entry by ID python3 scripts/baidu_baike.py --search_type=lemmaId --search_key="114923" ``` ## API - `LemmaList`: List entries with same title (for homonym resolution) - `LemmaContent`: Get detailed entry content by title or ID ## Workflow for OpenClaw Agent 1. Extract noun from user query 2. If term likely has homonyms (common names, ambiguous terms), call `LemmaList` first 3. Show user the list with IDs and descriptions 4. User selects entry ID (or agent uses default entry) 5. Call `LemmaContent` with selected ID 6. Return structured entry data to user ## Response Format Returns JSON with: - `lemma_id`: Entry ID - `lemma_title`: Entry title - `lemma_desc`: Short description - `url`: Baike page URL - `abstract_plain`: Plain text summary - `card`: Information cards (attributes) - `albums`: Image albums - `pic_url`: Main image URL
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