Put-spread Backtest reference method. Use when studying this focused method, not to run an API request. External API-key access for its legacy endpoints is not published in this release.
日本語の概要は準備中です。原文の説明を表示しています。
Find published research and institutional views with sources, dates and related assets. Use when the user asks to research reports with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Find published research and institutional views with sources, dates and related assets.
Read access and evidence rules. Python 3.9+ is the only runtime dependency; no separate CLI or sibling Skill installation is required. Resolve <skill-dir> to the directory containing this file.
Start with a public catalogue list. --collection research lists original research; --collection news --view research selects institutional views; --collection news --view news selects news. Use --query for a title/ticker keyword and --lang zh for Chinese. Read a selected public article with --slug <returned-slug>. Attribute ratings and targets to the institution; a missing original rating stays missing. For news impact, read references/news-impact.md and run news --slug <returned-news-slug> --revision <published-revision> --lang zh (or en). This staged, key-free command reads existing public news only; it requires the news-impact.v1 backend and never starts paid analysis. On an unsupported server report unavailable rather than inventing a result. Read references/editorial-routing.md before selecting the next command. Check the returned workflow, language and published revision. A type mismatch needs the declared workflow, not a retry; a changed revision must be re-read. Never silently switch to paid analysis.
python3 "<skill-dir>/scripts/run.py" research --collection research --lang en --limit 3
This command reads published data without a key or analysis-credit charge. No paid research is triggered.
Use AlphaGBM to find recent semiconductor research and distinguish institutional views from disclosed facts. Use research --collection news --view research for institutional views and research --collection research for original reports. Check workflow, language and revision before a report breakdown; collection=news is not a news-only list.
中文:帮我调用 AlphaGBM,查找最近的半导体研报,区分机构观点和已披露事实。机构观点用 research --collection news --view research,自有研报用 research --collection research;需要拆解时核对 workflow、语言和 revision 后调用 report,不把 collection=news 全部当作新闻。
To compare two previous workflow results, read investment review. Use review --baseline <authorized-file> --current <authorized-file> --lang en (or zh). This is local comparison, not account-history access, automatic monitoring or a new paid query.
For report theses, original ratings, assumptions, risks and verification points, read report breakdown and use report --slug <published-slug> --revision <published-revision> --lang en (or zh). This is a staged, public-evidence-only workflow, not private-archive access.
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概要と使いどころ
Put-spread Backtest reference method. Use when studying this focused method, not to run an API request. External API-key access for its legacy endpoints is not published in this release.
日本語の概要は準備中です。原文の説明を表示しています。
Supply-chain Bottlenecks reference method. Use when studying this focused method, not to run an API request. External API-key access for its legacy endpoints is not published in this release.
日本語の概要は準備中です。原文の説明を表示しています。
Build a contribution schedule and calculate a supplied price-path cost basis without predicting returns. Use when the user asks to dollar-cost averaging with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
日本語の概要は準備中です。原文の説明を表示しています。
Score Hong Kong and China A-share dividend candidates across yield quality, durability, cash flow, valuation and momentum. Use when the user asks to dividend strategy with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
日本語の概要は準備中です。原文の説明を表示しています。
Earnings IV Crush reference method. Use when studying this focused method, not to run an API request. External API-key access for its legacy endpoints is not published in this release.
日本語の概要は準備中です。原文の説明を表示しています。
Score ETF trend, risk, liquidity, cost and available tracking and theme signals while preserving data gaps. Use when the user asks to etf strategy with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
日本語の概要は準備中です。原文の説明を表示しています。