Shenlan Finance News Assistant
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Please install @user_644928b6/shenlannews according to https://skillhub.cn/install/skillhub.md.
About this skill
The Problem
In finance Q&A, a general-purpose LLM can struggle with time-sensitive, source-bound questions such as the latest market dispatches, a company's recent announcements, or what the market is watching today. Shenlan Finance News reframes these requests as structured API calls for dispatches, headlines, trending content, search, RSS aggregation, and announcements, reducing reliance on ad hoc web scraping or guessed links.
How It Works
The skill calls the public JSON API at https://www.shenlannews.com/api/v2, usually without authentication. Core capabilities include:
- Real-time dispatches: use /dispatches for market updates, with is_major, search, and sort filters; responses include ai_summary and ai_sentiment.
- Headlines and deep articles: use /articles for excerpts, HTML content, ai_keywords, ai_interpretation, and sentiment.
- Trending and search: /trending surfaces current market attention; search endpoints support keyword lookup across articles, dispatches, and announcements.
- Announcements and aggregation: retrieve listed-company announcements with PDF downloads and aggregate multiple finance news sources via RSS.
For time-sensitive answers, fetch dispatches first, then supplement with latest articles and trending items. For deep analysis, inspect ai_summary and ai_interpretation. For sentiment questions, combine the distribution of ai_sentiment with article sentiment fields.
Boundaries and Notes
Content comes from Shenlan Finance and its aggregated sources, so citations should follow the skill's guidance, such as noting Shenlan Finance reports or dispatch timestamps. Article content may be HTML and should be cleaned before rendering. The SSE dispatch stream is intended for continuous listening rather than one-off batch retrieval. Availability of announcements, article links, and PDF downloads depends on upstream APIs, so callers should preserve timeout, error, and format-change handling.
Use Cases
- Review overnight finance dispatches before market open, filter major items, and draft daily watchlist notes.
- Trace articles and dispatches about rate cuts or CPI over the past week, then compile supporting evidence.
- Track announcements from a listed company, download the PDF, and verify dividend or earnings guidance details.
- Aggregate multiple finance RSS sources and compare how different outlets report the same market event.
Best For
- Brokerage research assistants: summarize major dispatches and headlines before morning meetings to form daily market views.
- Finance content editors: select topics from trending content, full-text search, and RSS aggregation while verifying source timestamps.
- Fund risk-control staff: search announcements and sentiment fields to help detect negative company news.
- LLM application developers: integrate public JSON and SSE endpoints into finance Q&A or monitoring pipelines.
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