Claude Skill

med-event-takeaways

Post-event analyst note (conferences, KOL events, site visits) with the professional note anatomy — headline verdict, per-stock takeaways with model numbers, KOL distillation, cross-trial comparison lattices, modeled deltas vs consensus (peak × POS), three what's-changed vectors,

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Part of agentii-ai/agentii-investment-intelligence — 46 skills

Install

skills CLI npx skills add https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/med-event-takeaways
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentii-ai-agentii-investment-intelligence@llmmart
Git git clone https://github.com/agentii-ai/agentii-investment-intelligence.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentii-ai/agentii-investment-intelligence collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Methodology inspired by publicly taught sell-side note-writing practice; all text is an original paraphrase.

Defaults

Parameter Default Value Rationale
note_anatomy 9 sections headline → per-stock → KOL → lattices → deltas → vectors → risks → trackers
delta_framing peak × POS Modeled deltas vs consensus are unadjusted peak × POS
conflict_policy materiality-rated Surface verbatim, rate materiality, or defer to an outcomes trial
vector_set estimates/thesis/positioning The three what's-changed vectors per covered name

Preflight

Run canonical pre-flight per contracts/preflight.md. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md. Confirm ticker resolution via search_companies before event queries.

Triggers

  • "Write the note on [conference / KOL event]."
  • "What are the takeaways from [event] for my coverage?"
  • "Distill the [conference] KOL panel on [drug/class]."
  • "What changed for [ticker] after [event]?"
  • "Model the delta to consensus from [event]'s data."
  • "Which stocks move on [event] and why?"
  • "Conflict check: what did KOLs disagree on at [event]?"
  • "What do I update first — estimates, thesis, or positioning?"
  • "Summarize the cross-trial comparisons from [event]."
  • "Upside and downside risks after [event]."
  • "Link the living trackers that [event] should update."

Production Grounding

  • Note anatomy is fixed: headline verdict (paragraph one) → per-stock takeaways with model numbers → KOL distillation → raw data + cross-trial lattices → modeled deltas vs consensus (unadjusted peak × POS) → three what's-changed vectors (estimates / thesis / positioning) → risk bullets → living-tracker links.
  • Conflict rule: conflicting views surfaced verbatim, rated by materiality ("incremental positive, not narrative-changing") or deferred to a larger outcomes trial — never silently averaged.
  • Consensus delta: model-vs-consensus always explicit; POS changes logged with reasons; abstain where unquantifiable.
  • Buy-side lens: client-question section, where investor attention sits, per-name bull/bear pivot conditions.
  • Badges: [FACT]/[DEDUCTED]/[VIEW] with the summary table.

Data Source Priority

  1. Event content: transcripts/slides via search_documents + list_sources + read_source_outline / read_source_pages.
  2. Trial context: search_clinical_trials / get_clinical_trial for the studies discussed.
  3. Consensus: search_earnings_calendar (company-level); product consensus derived and labeled [DEDUCTED].
  4. Knowledge: search_investment_cases / search_investment_strategies / search_by_analogue (sectors=med) for pattern grounding and /v/ citations.

Methodology

Retrieval Scope

unstructured_document_search

Retrieval Strategy

  1. Enumerate the event's covered names, sessions, and data presentations.
  2. Retrieve transcripts/abstracts; extract per-presentation data with sources.
  3. Pull each discussed trial's record for lattice construction (vs SoC and class peers).
  4. Model deltas: unadjusted peak × POS per asset vs consensus, assumptions stated.
  5. Ground patterns via search_investment_cases / search_by_analogue (sectors=med); cite /v/.

Temporal Scope

See frontmatter temporal_scope block. Notes cover the meeting window plus the forward quarters its data affects.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

  1. Event inventory
  2. Data extraction (raw numbers + sources)
  3. KOL distillation + conflict capture (verbatim)
  4. Cross-trial lattices
  5. Model deltas vs consensus
  6. What's-changed vectors + risk bullets + tracker links

Modes

  • Conference note (default): multi-day meeting, per-session distillation.
  • KOL / site visit: single-source distillation with conflict emphasis.
  • Single-name note: one covered name with deeper model treatment.
  • Basket: multi-ticker note with per-name sections.

Tool Fallbacks

Failure Fallback
Event transcript unavailable Degrade to abstracts/slides; annotate coverage_gap
No consensus figure State required inputs; label the delta [VIEW] — never fabricate
Trial record missing Lattice cell marked unavailable; do not guess
Knowledge tools empty Event data only; annotate knowledge coverage_gap

Output File

{ticker}/{YYYY-MM-DD_HHMM}_med-event-takeaways_{affix}.md (multi-name: watchlist/{YYYY-MM-DD_HHMM}_med-event-note_{affix}.md)

Output Structure

  1. Headline Verdict — the event in 2-3 sentences
  2. Per-Stock Takeaways — 2-4 lines each, ≥1 model number
  3. KOL Distillation — themes + conflicting views verbatim with materiality ratings
  4. Cross-Trial Lattices — vs standard of care and class peers
  5. Model Deltas vs Consensus — peak × POS arithmetic, [DEDUCTED] labels
  6. What's Changed — estimates / thesis / positioning per name
  7. Risk Bullets — upside and downside
  8. Living-Tracker Links — trackers to append, never rewrite

Error Handling

Error Fallback
Conflicting KOL views Surface both verbatim; rate materiality or defer to an outcomes trial — never average
Consensus absent coverage_gap with required inputs; keep the internal model consistent
Event scope unclear Narrow to named sessions/presentations; flag what is out of scope

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
Files (agentii-investment-intelligence)
  • references
    • knowledge-frameworks.md 3.5 KB
      # Med Event Takeaways — Knowledge Frameworks
      
      Static grounding for `med-event-takeaways` (spec 055). Runtime records (approved med strategies/cases) are retrieved via the knowledge tools and cited with /v/ URLs; this file carries the event-note anatomy and conflict-handling methodology. All content is an original paraphrase of publicly taught sell-side note-writing practice.
      
      ## The Note Anatomy
      
      Nine beats, in order:
      
      1. **Headline verdict** — paragraph one states what the event means in 2-3 sentences.
      2. **Per-stock takeaways** — each covered name gets 2-4 lines with at least one model number.
      3. **KOL/event distillation** — themes condensed from the sessions, with conflicting views surfaced verbatim.
      4. **Raw data + cross-trial comparison lattices** — the numbers as presented, placed against standard-of-care and class peers.
      5. **Modeled deltas vs consensus** — unadjusted peak sales × POS, compared to consensus explicitly.
      6. **Three what's-changed vectors** — estimates / thesis / positioning per name.
      7. **Upside/downside risk bullets**.
      8. **Living-tracker links** — pointers to the weekly track and diff products the note should update.
      
      ## The Three What's-Changed Vectors
      
      - **Estimates** move first — numbers change before narratives.
      - **Thesis** moves second — the narrative adjusts to the numbers.
      - **Positioning** moves last — ratings and portfolio stances are the slowest variable.
      - A note that updates positioning without touching estimates is out of order; the slot-refresh discipline is explicit about which vector moved.
      
      ## Conflict Materiality
      
      - Conflicting characterizations of the same data are surfaced **verbatim** — both views, with their speakers.
      - Each conflict is then **rated by materiality** ("incremental positive, not narrative-changing") or **deferred** to a larger outcomes trial when the sample or design cannot settle it.
      - Conflicts are never silently averaged; an unresolved conflict stays flagged as unresolved.
      
      ## Uncertainty Discipline
      
      - Scenario-flexing at market level; probability-of-success at asset level.
      - POS changes are logged with reasons — a moved probability without a reason is a defect.
      - Model-vs-consensus delta is always explicit; where a likelihood is unquantifiable, abstain explicitly ("no view on likelihood") rather than imply precision.
      
      ## The Buy-Side Lens
      
      - Include a client-question section ("one common question we have received…") where investor attention sits.
      - Track where investor attention is concentrated across the covered names — attention and model impact are different vectors.
      - Give per-name bull/bear pivot conditions: the stated condition under which the stance flips.
      
      ## Living-Tracker Convention
      
      - Event notes link to the living trackers (weekly commercial track, trial status diff) rather than duplicating them.
      - Exhibits and trackers are **append-only**: new observations append, prior entries are never rewritten.
      - Every fact in the note carries a source line; derived arithmetic carries `[DEDUCTED]`, judgments `[VIEW]`.
      
      ## Modality Notes
      
      - **Drugs/biologics**: readout-centric events; persistence and titration data feed the model.
      - **Devices**: procedural adoption, utilization, and ASP commentary dominate device events.
      - **Vaccines**: ACIP discussion, cohort scope, and procurement signals are the event-relevant content.
      
      ## Authoring-time citations
      
      Med strategies/cases extracted in spec 052 are linked below as they reach `approved` status (enriched per FR-005):
      <!-- /v/knowledge/{citation_id} citations appended by the spec-052 enrichment step -->
      
    • modes.md 1.1 KB
      # med-event-takeaways — Analyst Mode Definitions
      
      Derived from the skill's own methodology structure (scripts/mode_backfill.py, spec 046 M1).
      
      ### Mode: defaults
      
      **Objective**: Defaults analysis per the skill's methodology (see SKILL.md sections).
      
      ### Mode: preflight
      
      **Objective**: Preflight analysis per the skill's methodology (see SKILL.md sections).
      
      ### Mode: triggers
      
      **Objective**: Triggers analysis per the skill's methodology (see SKILL.md sections).
      
      ### Mode: production-grounding
      
      **Objective**: Production Grounding analysis per the skill's methodology (see SKILL.md sections).
      
      ### Mode: data-source-priority
      
      **Objective**: Data Source Priority analysis per the skill's methodology (see SKILL.md sections).
      
      ### Mode: drug-biologic
      
      **Objective**: Drug/biologic readout and persistence-focused event notes per the skill's methodology (see SKILL.md `## Modes`).
      
      ### Mode: device
      
      **Objective**: Device adoption, utilization, and ASP event notes per the skill's methodology (see SKILL.md `## Modes`).
      
      ### Mode: vaccine
      
      **Objective**: Vaccine ACIP, cohort-scope, and procurement event notes per the skill's methodology (see SKILL.md `## Modes`).
      
  • SKILL.md 6.8 KB
    ---
    name: med-event-takeaways
    description: Post-event analyst note (conferences, KOL events, site visits) with the professional note anatomy — headline verdict, per-stock takeaways with model numbers, KOL distillation, cross-trial comparison lattices, modeled deltas vs consensus (peak × POS), three what's-changed vectors, risk bullets, and materiality-rated conflicting views. Use after any med event to convert the event into actionable takeaways.
    sectors: [med.medicines_biotech, med.medical_devices]
    multi_ticker_semantics: basket_v1_1
    temporal_scope:
      default_quarters: 4
      max_quarters: 8
      description: "Event-note window default 4 quarters; up to 8 for multi-trial programs."
    allowed_tools:
      - search_documents
      - search_sec_filings
      - list_sources
      - read_source_outline
      - read_source_pages
      - search_investment_cases
      - get_investment_case
      - search_investment_strategies
      - search_by_analogue
      - search_knowledge_entries
      - search_clinical_trials
      - get_clinical_trial
      - search_earnings_calendar
    retrieval_scope: unstructured_document_search
    min_tool_diversity: 3
    parameter_free: false
    ---
    
    > Methodology inspired by publicly taught sell-side note-writing practice; all text is an original paraphrase.
    
    ## Defaults
    
    | Parameter | Default Value | Rationale |
    |-----------|---------------|-----------|
    | note_anatomy | 9 sections | headline → per-stock → KOL → lattices → deltas → vectors → risks → trackers |
    | delta_framing | peak × POS | Modeled deltas vs consensus are unadjusted peak × POS |
    | conflict_policy | materiality-rated | Surface verbatim, rate materiality, or defer to an outcomes trial |
    | vector_set | estimates/thesis/positioning | The three what's-changed vectors per covered name |
    
    ## Preflight
    
    Run canonical pre-flight per `contracts/preflight.md`. Propagate X-Agentii-Trace per `contracts/x-agentii-trace-header.md`. Confirm ticker resolution via `search_companies` before event queries.
    
    ## Triggers
    
    - "Write the note on [conference / KOL event]."
    - "What are the takeaways from [event] for my coverage?"
    - "Distill the [conference] KOL panel on [drug/class]."
    - "What changed for [ticker] after [event]?"
    - "Model the delta to consensus from [event]'s data."
    - "Which stocks move on [event] and why?"
    - "Conflict check: what did KOLs disagree on at [event]?"
    - "What do I update first — estimates, thesis, or positioning?"
    - "Summarize the cross-trial comparisons from [event]."
    - "Upside and downside risks after [event]."
    - "Link the living trackers that [event] should update."
    
    ## Production Grounding
    
    - Note anatomy is fixed: headline verdict (paragraph one) → per-stock takeaways with model numbers → KOL distillation → raw data + cross-trial lattices → modeled deltas vs consensus (unadjusted peak × POS) → three what's-changed vectors (estimates / thesis / positioning) → risk bullets → living-tracker links.
    - Conflict rule: conflicting views surfaced verbatim, rated by materiality ("incremental positive, not narrative-changing") or deferred to a larger outcomes trial — never silently averaged.
    - Consensus delta: model-vs-consensus always explicit; POS changes logged with reasons; abstain where unquantifiable.
    - Buy-side lens: client-question section, where investor attention sits, per-name bull/bear pivot conditions.
    - Badges: `[FACT]`/`[DEDUCTED]`/`[VIEW]` with the summary table.
    
    ## Data Source Priority
    
    1. Event content: transcripts/slides via `search_documents` + `list_sources` + `read_source_outline` / `read_source_pages`.
    2. Trial context: `search_clinical_trials` / `get_clinical_trial` for the studies discussed.
    3. Consensus: `search_earnings_calendar` (company-level); product consensus derived and labeled [DEDUCTED].
    4. Knowledge: `search_investment_cases` / `search_investment_strategies` / `search_by_analogue` (sectors=med) for pattern grounding and /v/ citations.
    
    ## Methodology
    
    ### Retrieval Scope
    unstructured_document_search
    
    ### Retrieval Strategy
    1. Enumerate the event's covered names, sessions, and data presentations.
    2. Retrieve transcripts/abstracts; extract per-presentation data with sources.
    3. Pull each discussed trial's record for lattice construction (vs SoC and class peers).
    4. Model deltas: unadjusted peak × POS per asset vs consensus, assumptions stated.
    5. Ground patterns via `search_investment_cases` / `search_by_analogue` (sectors=med); cite /v/.
    
    ### Temporal Scope
    See frontmatter temporal_scope block. Notes cover the meeting window plus the forward quarters its data affects.
    
    ### Tool Allowlist
    See frontmatter allowed_tools.
    
    ### Protocol
    1. Event inventory
    2. Data extraction (raw numbers + sources)
    3. KOL distillation + conflict capture (verbatim)
    4. Cross-trial lattices
    5. Model deltas vs consensus
    6. What's-changed vectors + risk bullets + tracker links
    
    ## Modes
    
    - **Conference note** (default): multi-day meeting, per-session distillation.
    - **KOL / site visit**: single-source distillation with conflict emphasis.
    - **Single-name note**: one covered name with deeper model treatment.
    - **Basket**: multi-ticker note with per-name sections.
    
    ## Tool Fallbacks
    
    | Failure | Fallback |
    |---------|----------|
    | Event transcript unavailable | Degrade to abstracts/slides; annotate coverage_gap |
    | No consensus figure | State required inputs; label the delta [VIEW] — never fabricate |
    | Trial record missing | Lattice cell marked unavailable; do not guess |
    | Knowledge tools empty | Event data only; annotate knowledge coverage_gap |
    
    ## Output File
    
    `{ticker}/{YYYY-MM-DD_HHMM}_med-event-takeaways_{affix}.md` (multi-name: `watchlist/{YYYY-MM-DD_HHMM}_med-event-note_{affix}.md`)
    
    ## Output Structure
    
    1. **Headline Verdict** — the event in 2-3 sentences
    2. **Per-Stock Takeaways** — 2-4 lines each, ≥1 model number
    3. **KOL Distillation** — themes + conflicting views verbatim with materiality ratings
    4. **Cross-Trial Lattices** — vs standard of care and class peers
    5. **Model Deltas vs Consensus** — peak × POS arithmetic, [DEDUCTED] labels
    6. **What's Changed** — estimates / thesis / positioning per name
    7. **Risk Bullets** — upside and downside
    8. **Living-Tracker Links** — trackers to append, never rewrite
    
    ## Error Handling
    
    | Error | Fallback |
    |-------|----------|
    | Conflicting KOL views | Surface both verbatim; rate materiality or defer to an outcomes trial — never average |
    | Consensus absent | coverage_gap with required inputs; keep the internal model consistent |
    | Event scope unclear | Narrow to named sessions/presentations; flag what is out of scope |
    
    ## 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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