A-share Runtime Data Access

Use this skill when the user asks for A-share local data retrieval, quote lookup, financial period lookup, valuation context building, technical indicator lookup, or schema inspection through the project's public runtime interfaces and local tools.

Scope

• Only handle A-share data in this workflow.
• Do not switch to multi-market logic unless the user explicitly changes scope.
• Prefer the project's public runtime interfaces over direct database access.

First Read

Before fetching data, read these documents in order:

1. docs/design/runtime-interfaces/skill-runtime-overview.md
2. docs/design/runtime-interfaces/local-data-access-design.md
3. docs/design/runtime-interfaces/project-access-and-governance.md

If you need concrete function signatures or allowed collections, then read:

1. core/skill_runtime/data_access.py
2. core/skill_runtime/project_access.py
3. core/skill_runtime/catalog.py

Runtime Rules

• Prefer core.skill_runtime.data_access for business-semantic data access.
• Use core.skill_runtime.project_access only when helper functions are insufficient or when inspecting schema / field coverage.
• Do not create MongoClient or import pymongo directly.
• Do not bypass core.skill_runtime by reading lower-level provider or database modules unless the user explicitly asks for code archaeology.
• For technical analysis, prefer the project's local technical tools and materialized snapshots over ad hoc indicator calculation.

Preferred Helpers

For common A-share tasks, prefer these helpers first:

1. get_stock_basic_info(symbol)
2. get_market_quotes(symbol)
3. get_latest_stock_price(symbol)
4. get_stock_daily_quotes(symbol, start_date, end_date)
5. get_stock_financial_periods(symbol)
6. get_stock_financial_data(symbol)
7. get_stock_valuation_context(symbol)
8. get_stock_news(symbol)
9. query_stock_collection(collection, ...)
10. inspect_stock_collection_schema(collection, ...)