OP

openevidence-migration-deep-dive

Guides the migration from legacy systems to OpenEvidence through phased integration strategies.

Install

mkdir -p .claude/skills/openevidence-migration-deep-dive && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8148" && unzip -o skill.zip -d .claude/skills/openevidence-migration-deep-dive && rm skill.zip

Installs to .claude/skills/openevidence-migration-deep-dive

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Migration Deep Dive for OpenEvidence.
37 charsno explicit “when” trigger
Advanced

Key capabilities

  • →Implement parallel run strategies for system transitions
  • →Execute strangler fig patterns for clinical decision support
  • →Map legacy clinical APIs to OpenEvidence
  • →Develop rollback procedures for platform transitions
  • →Establish performance baselines for clinical systems

How it works

The skill provides a structured migration framework including parallel runs and traffic routing patterns to transition legacy clinical systems to OpenEvidence. It requires documenting API mappings and establishing performance baselines before execution.

Inputs & outputs

You give it
Legacy clinical decision support system configuration
You get back
Migration checklist and transition strategy

When to use openevidence-migration-deep-dive

  • →Plan legacy system migration
  • →Map legacy clinical APIs to OpenEvidence
  • →Execute platform transition check-lists
  • →Design rollback procedures

About this skill

OpenEvidence Deep Consult to Snow Migration

Overview

Translate legacy Deep Consult use cases into Snow, which the official guide identifies as its replacement. Keep inputs minimal, separate observed facts from assumptions, and leave consequential decisions with the named accountable owner.

Prerequisites

  • A clearly bounded workflow, accountable clinical owner, and organizational policy
  • Current first-party OpenEvidence documentation and applicable institution agreements
  • Synthetic or properly authorized minimum-necessary data

Tool Discipline

Use Read, Glob, and Grep to inspect supplied policies, plans, and evidence. Use WebFetch only for current first-party OpenEvidence documentation. Use Write or Edit only when the user requests a named deliverable with an approved destination. Never expose credentials, PHI, recordings, or unrestricted environment output.

Current Contract

  • The current guide says Deep Consult has been replaced by OpenEvidence Snow in the model selector.
  • Legacy Deep Consult examples remain representative, but do not establish current performance, quota, or timing.
  • Migration must revalidate prompts, structure, citations, review, data handling, and user training.

Authentication

Use only the official OpenEvidence web/mobile sign-in or an institution-approved access path. Do not invent API keys, OAuth clients, SDK credentials, service accounts, or private endpoints. Never ask a user to reveal a password, session token, cookie, or recovery code.

Instructions

  1. Inventory legacy Deep Consult prompts, reports, user groups, downstream decisions, and sensitive-data handling.
  2. Classify each workflow as retire, move to ordinary Ask, or pilot in Snow based on complexity and value.
  3. Read the current Models and Deep Consult guidance; remove obsolete navigation and invented quota assumptions.
  4. Run synthetic paired evaluations and compare coverage, citation traceability, uncertainty, format, and reviewer effort.
  5. Update training, templates, governance, and support documentation with a rollback path.
  6. Obtain clinical and operational sign-off before retiring the legacy procedure.

Approval Boundaries

Do not create or share accounts; change access, roles, agreements, consent, retention, or security settings; enter PHI; record a conversation; copy content into another system; contact a patient; make a diagnosis or treatment decision; submit billing; transmit a support packet; run a production pilot; or represent vendor capabilities without explicit approval from the accountable owner. A qualified professional remains responsible for clinical decisions.

Output

Return scope, current first-party evidence and date, data classification, workflow or findings, citations reviewed, assumptions rejected, clinical and governance owners, approval state, unresolved risk, and the exact next action. Redact patient and credential data.

Error Handling

ConditionResponse
Snow unavailableConfirm account entitlement/support; do not fall back to a guessed endpoint.
Output structure changesUpdate the review rubric before production use.
Legacy prompt contains PHIDo not reuse it in testing; construct a synthetic equivalent.

Examples

This compact example shows the minimum reviewable handoff; adapt fields to the approved workflow without adding sensitive data.

Input:

legacy-workflows=8; target=Snow; test-data=synthetic; reviewers=2

Expected handoff:

migrate=5; Ask=2; retire=1; signoff=pending; legacy-quota-claims=removed

Resources

When not to use it

  • →Big bang migrations due to high risk

Prerequisites

openevidence-install-auth

Limitations

  • →Big bang migrations are identified as risky

How it compares

Unlike manual migration planning, this skill provides a specific checklist and architectural patterns tailored for clinical decision support system transitions.

Compared to similar skills

openevidence-migration-deep-dive side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
openevidence-migration-deep-dive (this skill)02moNo flagsAdvanced
mcp-builder1365moReviewAdvanced
api-design-principles724moNo flagsIntermediate
langchain-architecture84moReviewIntermediate

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