pipeline-devices

SkillMedia

Device pipeline analysis: feasibility and pivotal study stages, design-iteration cycles, RWE studies, and post-market obligations, with reimbursement-aware value framing and decision-track awareness across the med universe.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the pipeline-devices skill

What this skill tells your AI

The instructions your AI receives, as published by agentii-ai/agentii-investment-intelligence in plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-devices/SKILL.md and read by ahel’s review.

Methodology inspired by publicly taught medtech pipeline frameworks; all text is an original paraphrase.

Defaults

ParameterDefault ValueRationale
asset_scopeall disclosed devicesFull-pipeline enumeration first
stage_lensfeasibility + pivotalDesign-iteration stages, not drug-phase labels
reimbursement_awaretrueValue framed against coverage paths, not raw approval
post_market_scantrueObligations and surveillance state surfaced
value_framerisk-adjustedModeled value = unadjusted peak x POS, both shown

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 asset queries.

Triggers

  • "Analyze [ticker]'s device pipeline."
  • "What is in [ticker]'s feasibility and pivotal portfolio?"
  • "Where is each of [ticker]'s devices in its design cycle?"
  • "Which of [ticker]'s programs are approaching submission?"
  • "What RWE studies support [ticker]'s devices?"
  • "What post-market obligations does [ticker] carry?"
  • "Risk-adjust [ticker]'s device pipeline."
  • "What is the next catalyst for each of [ticker]'s devices?"
  • "How does [ticker]'s device pipeline compare to peers?"
  • "Which device classifications (PMA/De Novo/510(k)) map to [ticker]'s pipeline?"
  • "Map [ticker]'s devices by clinical stage and indication."
  • "What does [ticker]'s pipeline say about its reimbursement path?"

Production Grounding

  • Device stage ladder: feasibility (first-in-human, small N) → pivotal (registrational) → submission (PMA / De Novo / 510(k)) → post-market. Devices iterate through design versions; design freezes and iteration cycles are the pipeline milestones, not drug-style phases.
  • Pivotal design varies by classification: PMA demands the highest evidence bar, De Novo novel classification, 510(k) equivalence — the pipeline's value path depends on the expected track.
  • RWE studies (registries, claims analyses) increasingly support coverage and label expansion; treat them as pipeline assets with their own timelines.
  • Post-market obligations (surveillance studies, MDR reporting) shape long-term liability and the re-approval path.
  • Reimbursement-aware framing: pipeline value assumes a coverage path; an asset without one is discounted.
  • Grounding detail lives in references/knowledge-frameworks.md.

Data Source Priority

  1. get_company_devices / search_universe_devices — asset inventory from the med universe.
  2. search_clinical_trials / get_clinical_trial — study stage, design type, status, enrollment.
  3. get_device_decision — decision history and upcoming decisions per device.
  4. Knowledge layer: search_knowledge_entries for framework grounding.

Methodology

Retrieval Scope

structured_only

Retrieval Strategy

  1. Pull asset inventory (get_company_devices), cross-check the universe (search_universe_devices).
  2. Enrich per asset with study records (search_clinical_trials) — stage, design type, status-diff.
  3. Pull decision history and upcoming dates (get_device_decision).
  4. Flag post-market obligations and RWE study presence per asset.
  5. Size each asset (peak x POS); ground in knowledge entries.

Temporal Scope

See frontmatter temporal_scope block. Device development and post-market windows span years; history may reach back 8-12 quarters.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

  1. Asset enumeration
  2. Stage and design-cycle mapping
  3. Decision-track alignment
  4. Post-market and RWE overlay
  5. Risk-adjusted synthesis

Modes

  • Phase scan (default): all devices by stage with next catalyst and expected track.
  • Design cycle: design-iteration state, freezes, and submission readiness.
  • Post-market: obligations, surveillance state, and RWE support.

Tool Fallbacks

FailureFallback
get_company_devices emptysearch_universe_devices by company or indication; annotate coverage_gap
No trial rowsMark stage undisclosed; do not guess pivotal vs feasibility
No decision historyFlag the submission track unknown; state both possibilities
Knowledge tools emptyProceed with structured data only

Output File

{ticker}/{YYYY-MM-DD_HHMM}_pipeline-devices_{affix}.md

Output Structure

  1. Executive Summary — pipeline stance in 2-3 sentences
  2. Asset Table — stage, design type, expected track, next catalyst
  3. Design-Cycle Read — iteration state, freezes, submission readiness
  4. Post-Market & RWE — obligations, surveillance, registries
  5. Risk-Adjusted Sizing — peak x POS with reimbursement framing
  6. Coverage Gaps — missing records, undisclosed stage, degraded modes

Error Handling

ErrorFallback
Stage unknownMark "undisclosed"; do not guess
Classification ambiguousState the evidence-bar difference across tracks
No catalysts foundSay so explicitly; note the pipeline may be early-stage

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

Signals

GitHub stars
203
Forks
16
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
pipeline-devices
Source
github.com/agentii-ai/agentii-investment-intelligence