Company Overview Card
Paste the following prompt into your AI chat to install this skill:
Please install @user_d83d7c97/wm-company-card according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
When a user only needs a first-pass read of a company, they often need price, K-line, valuation, growth, quality, and shareholder data together. Splitting these into separate requests makes the context fragmented and can hide data staleness. wm-company-card treats the company check as a card-shaped response, not a full research report.
How it works
The skill controls scope through include:
- Omitted, default, full, or all: returns quote, kline, identity, valuation, growth, quality, and shareholder.
- quote: returns current price, volume, amount, market cap, and related price-side fields.
- quote,kline: adds moving averages and interval changes.
- Other CSV values, such as valuation,growth, trim the payload.
Key steps include passing a single symbol or up to 50 batched symbols; for CN, HK, and US mixed requests, the wrapper dispatches by market and merges results. The useful response paths are data.card.*, data.freshness, and data.deeplinks, with data.result.card.* kept for compatibility. freshness exposes quote_date, report_sas, and shareholder-domain dates, so the assistant can state which reporting period the numbers belong to. For peer comparison, pass industry_l3 to wm-industry-members; for business interpretation or deep reading, move to the relevant downstream skill.
Boundaries and caveats
It is intended for quick company triage, partial modules, and batched multi-symbol checks. It is not suitable for market-wide screening, long-form business analysis, full industry membership, or platform analysis script trees. Do not pass index codes as individual stocks; for example, bare code 000001 is Ping An Bank here, not the SSE Composite. Avoid looping per symbol; send symbols once. Use returned deeplinks[].markdown as provided rather than hand-building parameters.
Use Cases
- An investment research assistant needs a quick client-ready snapshot of an A-share stock, pulling quote, valuation, growth, and shareholder fields in one call.
- A buy-side analyst reviews five HK stock candidates and batches quote, K-line, and fundamental fields without stitching per-symbol context.
- An operations writer prepares a morning note on three US stocks, checking price, market cap, and latest report date to select follow-ups.
- A research support engineer extracts the SW industry code from the company card and passes it to an industry membership tool for peer scope checks.
Best For
- Investment research assistant: needs to quickly gather quote, valuation, and shareholder fields when answering a client about a stock.
- Buy-side analyst: needs to batch-check candidate stock snapshots before deciding which names deserve deep reading.
- Content operations writer: needs to compile core stock metrics and report dates into a morning briefing.
- Research support engineer: needs to extract industry codes and freshness fields to connect peer and deep-dive tools.
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