sector-overview-med

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Med-sector overview using the 049 taxonomy (med.medicines_biotech, med.medical_devices, med.healthcare_services, med.life_sciences_tools) with med trends, catalysts, and FDA-decision context. Use to frame any biotech/pharma analysis before diving into a single name.

AI & Automation 204 stars 16 forks Updated today Apache-2.0

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Skill Content

> Methodology inspired by publicly taught sector-framing approaches; all text is an original paraphrase. ## Defaults | Parameter | Default Value | Rationale | |-----------|---------------|-----------| | taxonomy_level | industry (4 med industries) | Med sector frames at industry granularity | | include_catalysts | true | FDA decisions are the defining med-sector driver | | lookback_quarters | 4 | Standard trend window | ## Preflight Run canonical pre-flight per `contracts/preflight.md`. Propagate X-Agentii-Trace per `contracts/x-agentii-trace-header.md`. ## Triggers - "Give me an overview of the biotech sector." - "How is the pharma industry structured?" - "What are the main med sector trends right now?" - "Which med sub-sectors are most catalyst-rich this quarter?" - "Map the medical-devices landscape for me." - "What's the regulatory backdrop for healthcare this year?" - "How do med.medicines_biotech names differ from med.medical_devices?" - "Summarize the FDA approval environment for the sector." - "What are the structural drivers of biotech valuations?" - "Which committees are most active in AdCom reviews lately?" ## Production Grounding - Med industry taxonomy (spec 049): `med.medicines_biotech`, `med.medical_devices`, `med.healthcare_services`, `med.life_sciences_tools`; services/tools are out of scope for the bio-pharm vertical (servable by generic skills). - FDA decisions (approve/CRL/AdCom) are the strongest sector catalysts; sector framing must include the c...

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Author
agentii-ai
Repository
agentii-ai/agentii-investment-intelligence
Created
4 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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