nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install ide-rea/baidu-baike-dataInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Query encyclopedia entries from Baidu Baike.
Get default matching entry for a keyword.
python3 scripts/baidu_baike.py --search_type=lemmaTitle --search_key="keyword"
When term has multiple entries, list them and select by ID.
# 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"
export BAIDU_API_KEY="your_api_key"
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Query Baidu Baike encyclopedia entries from OpenClaw.
This skill enables two main scenarios:
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"
LemmaList: List entries with same title (for homonym resolution)LemmaContent: Get detailed entry content by title or IDLemmaList firstLemmaContent with selected IDReturns JSON with:
lemma_id: Entry IDlemma_title: Entry titlelemma_desc: Short descriptionurl: Baike page URLabstract_plain: Plain text summarycard: Information cards (attributes)albums: Image albumspic_url: Main image URL# 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
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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