chanai-search-workflow

name

chanai-search-workflow

description

External web search workflow for Chinese and global public-web information. Use when searching news, flights, prices, products, docs, tutorials, community posts, websites, PDFs, research, or other external information. Classify intent first, detect dynamic real-time topics, choose domestic-first or global-first search routes, prioritize human-usable sites, generate starter URLs, apply fallback strategy, and report reliability.

Chanai Search Workflow

Use this skill as the default workflow for external/public-web search.

Do not use it for local memory recall; use memory search for that.

Core workflow

1. Run scripts/run_search_workflow.py "<query>" first.
2. Read the returned plan:
   • intent
   • route (domestic-first / global-first / mixed)
   • dynamic subtype if any
   • suggested site priority
   • starter URLs
3. Execute search using the highest-priority routes first.
4. If the first route fails, read references/fallbacks.md and switch engines/sites.
5. After collecting evidence, use scripts/score_result.py to score reliability.
6. Use scripts/search_report.py or references/reporting-template.md to produce the final response.

Dynamic topics rule

If the query is about flights, prices, inventory, tickets, bookings, hotel availability, or other real-time topics:

• treat public search as preliminary discovery only
• prefer real-time/official/transaction-adjacent pages first
• do not present snippets or aggregator blurbs as final truth
• distinguish clearly between preliminary findings and real-time page findings

Scripts