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sector-overview-med

Med-sector overview across med.medicines_biotech and med.medical_devices with med trends, catalysts, FDA-decision context, and a cross-sector ripple map (quantified sign/magnitude per name). Use to frame any biotech/pharma/device analysis before diving into a single name.

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Files included (3)

  • SKILL.md6.0 KB
  • references/knowledge-frameworks.md2.2 KB
  • references/modes.md1.2 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Methodology inspired by publicly taught sector-framing approaches; all text is an original paraphrase.

Defaults

ParameterDefault ValueRationale
taxonomy_levelindustry (2 med industries)Med sector frames at industry granularity
include_catalyststrueFDA decisions are the defining med-sector driver
lookback_quarters4Standard trend window

Preflight

Run canonical pre-flight per contracts/preflight.md. Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned).

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 scope: med.medicines_biotech and med.medical_devices; healthcare services and life-sciences 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 catalyst calendar (search_adcom_meetings).
  • Cross-sector ripple map: for every sector-level catalyst (FDA decision, pricing action, funding regime, class readout), map the quantified sign and magnitude per covered name — a have/have-not stock map, not a headline. Magnitudes carry sources or [VIEW] labels; names with no exposure are listed as have-nots, not omitted.
  • Living-exhibit convention: sector exhibits are append-only — new observations append to the existing exhibit, prior entries are never rewritten. Every fact carries its source line.
  • Grounding frameworks: references/knowledge-frameworks.md (道/法 layered review knowledge).

Data Source Priority

  1. search_companies / list_coverage — sector membership and data freshness.
  2. search_adcom_meetings — catalyst calendar by committee/date.
  3. Knowledge layer: search_investment_strategies(sectors=med) + search_investment_cases(sectors=med) for sector-level plays.
  4. search_unified / search_documents — filings/news context.

Methodology

Retrieval Scope

unstructured_document_search

Retrieval Strategy

  1. Resolve sector scope via search_companies + taxonomy; count names per industry via list_coverage.
  2. Pull catalyst density: search_adcom_meetings for the window.
  3. Ground with med strategies/cases via the knowledge tools (sectors=med).
  4. Synthesize trends with cited evidence.

Temporal Scope

See frontmatter temporal_scope block.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

  1. Taxonomy framing
  2. Catalyst mapping
  3. Knowledge grounding
  4. Trend synthesis

Modes

  • Full sector (default): both med industries with catalyst overlay.
  • Single industry: deep-dive one industry (e.g., medicines_biotech).
  • Catalyst-focused: sector view organized around upcoming FDA events.
  • Ripple map: one sector catalyst propagated to per-name sign/magnitude, appended to the living exhibit.

Tool Fallbacks

FailureFallback
search_companies emptyUse search_unified keyword search; annotate coverage_gap
search_adcom_meetings emptyDegrade to search_documents keyword "AdCom"; flag
Knowledge tools emptyProceed with structured data only; annotate knowledge coverage_gap

Output File

_sector/{YYYY-MM-DD_HHMM}_med-sector-overview-med_{affix}.md

Output Structure

  1. Executive Summary — sector stance in 2-3 sentences
  2. Taxonomy Map — industries + representative names + coverage stats
  3. Catalyst Calendar — dated FDA/earnings events shaping the sector
  4. Trends & Structural Drivers — with evidence
  5. Cross-Sector Ripple Map — per-name quantified sign/magnitude per sector catalyst (have/have-not stock map), appended to the living exhibit
  6. Knowledge Grounding — med strategies/cases with /v/ citations
  7. Coverage Gaps — data limitations and degraded flags

Error Handling

ErrorFallback
No taxonomy matchesBroaden via search_companies name search; flag degraded
Empty catalyst calendarNote sector catalysts may be sparse; rely on knowledge layer

Memory Load

See contracts/memory-load.md.

Snapshot

See contracts/snapshot-synthesis.md.

Final Summary (TUI)

Include ### Key Citations block with 0-10 clickable /v/ URLs.

References

  • contracts/citation-and-memory.md
  • contracts/output-frontmatter-schema.md
  • contracts/memory-load.md
  • contracts/snapshot-synthesis.md
  • contracts/preflight.md
  • references/knowledge-frameworks.md

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