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.zipInstalls 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.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
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- The current guide says Deep Consult has been replaced by OpenEvidence Snow in the model selector.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
- Inventory legacy Deep Consult prompts, reports, user groups, downstream decisions, and sensitive-data handling.
- Classify each workflow as retire, move to ordinary Ask, or pilot in Snow based on complexity and value.
- Read the current Models and Deep Consult guidance; remove obsolete navigation and invented quota assumptions.
- Run synthetic paired evaluations and compare coverage, citation traceability, uncertainty, format, and reviewer effort.
- Update training, templates, governance, and support documentation with a rollback path.
- 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
| Condition | Response |
|---|---|
| Snow unavailable | Confirm account entitlement/support; do not fall back to a guessed endpoint. |
| Output structure changes | Update the review rubric before production use. |
| Legacy prompt contains PHI | Do 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
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.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| openevidence-migration-deep-dive (this skill) | 0 | 2mo | No flags | Advanced |
| mcp-builder | 136 | 5mo | Review | Advanced |
| api-design-principles | 72 | 4mo | No flags | Intermediate |
| langchain-architecture | 8 | 4mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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