Agent Skills

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name: alphagbm-etf-strategy

description: 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.

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name: alphagbm-greeks

description: Greeks 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.

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name: alphagbm-grid-plan

description: Build an auditable grid from a price range, current price and capital. Use when the user asks to grid plan with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.

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name: alphagbm-hedge-advisor

description: Hedging Scenarios 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.

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name: alphagbm-investment-review

description: Compare research records you provide to see changes in facts, scores and judgments. Use when the user asks to investment review with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.

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name: alphagbm-iv-rank

description: Volatility Snapshot via the published AlphaGBM interface. Use for this focused function, not as a promise that every website API accepts API keys.

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name: alphagbm-market-sentiment

description: Market Sentiment 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.

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name: alphagbm-momentum-following

description: Score observed price trend, confirmation, risk and participation without forecasting a price. Use when the user asks to momentum following with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.

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name: alphagbm-news-impact

description: Separate reported claims from impact inferences, with related assets and next checkpoints. Use when the user asks to news impact with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.

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name: alphagbm-options-research

description: Compare option candidates and score components, with funding, expiry and assignment risks. Use when the user asks to options strategies with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.

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name: alphagbm-options-score

description: Options Score via the published AlphaGBM interface. Use for this focused function, not as a promise that every website API accepts API keys.

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name: alphagbm-options-strategy

description: Strategy Builder 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.

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name: alphagbm-pnl-simulator

description: Payoff Simulation 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.

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name: alphagbm-polymarket

description: Prediction Markets 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.

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name: alphagbm-report-breakdown

description: Extract report views, ratings, key assumptions and risks with sources and dates. Use when the user asks to research report breakdown with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.

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name: alphagbm-research-reader

description: 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.

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name: alphagbm-smart-money

description: Aggregate user-supplied disclosed buys and sells by source without automatically copying trades. Use when the user asks to smart money tracking with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.

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name: alphagbm-stock-analysis

description: Stock Analysis via the published AlphaGBM interface. Use for this focused function, not as a promise that every website API accepts API keys.

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name: alphagbm-stock-research

description: Connect fundamentals, sentiment and risk to supporting and opposing evidence. Use when the user asks to stock opportunities with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.

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name: alphagbm-unusual-activity

description: Unusual Options Activity 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.

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name: alphagbm-vol-smile

description: Volatility Smile 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.

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name: alphagbm-vol-surface

description: Volatility Surface 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.

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name: serenity-skill

description: Research technology and advanced-manufacturing investments using Serenity-inspired supply-chain bottleneck analysis. Use for theme scans, company thesis challenges, candidate comparisons, or learning this method. Prioritize A-shares unless another market is requested. Return research priorities, dated evidence, profit implications, and conditions that would change the judgment.

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name: bestblogs-brief

description: Use this skill when the user asks about today's daily brief, morning digest, or BestBlogs highlights. Triggers include "今天早报 / 今日早报 / BestBlogs 早报 / 今天有啥好文 / 今日精选 / 给我看早报", "today's brief", "today's digest", "BestBlogs morning brief", "today's highlights on BestBlogs", "what's in today's brief". Invokes the `bestblogs` CLI.