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Sector Overview Med

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agentii-ai
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.

Overview

Publisheragentii-ai
Repositoryagentii-investment-intelligence
Skill namesector-overview-med
Stars
207
Forks
16
Bundled files
2
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by agentii-ai on GitHub. Read the source before you install it.

Installation

Install the Sector Overview Med AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/marketplace-beachhead/plugins/bio-pharm/skills/agentii/sector-overview-med
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git /tmp/agentii-investment-intelligence
mkdir -p .claude/skills
cp -r /tmp/agentii-investment-intelligence/marketplace-beachhead/plugins/bio-pharm/skills/agentii/sector-overview-med .claude/skills/sector-overview-med
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sector Overview Med in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sector Overview Med on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sector Overview Med is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Sector Overview Med AI skill do?

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.

Why use Sector Overview Med on TypingMind?

Because you install it once and use it with any model. Sector Overview Med is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sector Overview Med in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/marketplace-beachhead/plugins/bio-pharm/skills/agentii/sector-overview-med. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Sector Overview Med?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sector Overview Med?

As many as you like. As long as a model supports skills, you can use Sector Overview Med with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sector Overview Med AI skill free?

Yes. It is published on GitHub by agentii-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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