From openevidence-pack
Execute OpenEvidence secondary workflow: DeepConsult Research Synthesis. Trigger: "openevidence deepconsult research synthesis", "secondary openevidence workflow".
How this skill is triggered — by the user, by Claude, or both
Slash command
/openevidence-pack:openevidence-core-workflow-bThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Search medical evidence, manage citations, and generate formatted evidence reports
Search medical evidence, manage citations, and generate formatted evidence reports
through OpenEvidence. Use this workflow to find clinical studies for a specific
question, build citation collections for literature reviews, or produce structured
evidence summaries with graded recommendations. This is the secondary workflow —
for DeepConsult research synthesis, see openevidence-core-workflow-a.
const results = await client.evidence.search({
query: 'SGLT2 inhibitors cardiovascular outcomes type 2 diabetes',
filters: {
study_type: ['rct', 'meta_analysis', 'systematic_review'],
year_range: { min: 2020, max: 2026 },
evidence_level: ['1a', '1b', '2a'],
},
limit: 25,
sort: 'relevance',
});
console.log(`Found ${results.total} studies`);
results.items.forEach(s =>
console.log(` [${s.evidence_level}] ${s.title} (${s.journal}, ${s.year}) — ${s.citations} citations`)
);
const collection = await client.citations.create({
name: 'SGLT2i CV Outcomes Review — April 2026',
study_ids: results.items.slice(0, 15).map(s => s.id),
tags: ['cardiology', 'diabetes', 'sglt2i'],
});
console.log(`Collection ${collection.id}: ${collection.study_count} studies`);
await client.citations.addByDoi(collection.id, { doi: '10.1056/NEJMoa2034577' });
const graded = await client.evidence.grade(collection.id, {
framework: 'GRADE', // GRADE | Oxford | USPSTF
outcome: 'major_adverse_cardiovascular_events',
});
graded.findings.forEach(f =>
console.log(`${f.outcome}: ${f.grade} (${f.certainty}) — ${f.summary}`)
);
console.log(`Overall recommendation: ${graded.recommendation}`);
const report = await client.reports.generate({
collection_id: collection.id,
format: 'structured',
sections: ['clinical_question', 'search_strategy', 'evidence_table', 'grade_summary', 'references'],
citation_style: 'AMA',
});
console.log(`Report generated: ${report.page_count} pages`);
console.log(`Download: ${report.download_url}`);
| Issue | Cause | Fix |
|---|---|---|
401 Unauthorized | Invalid API key or expired session | Regenerate key in OpenEvidence dashboard |
404 Study not found | DOI not indexed or incorrect ID | Search by title or check DOI format |
422 Invalid filter | Unsupported evidence_level or study_type | Use allowed values from client.schema.filters() |
429 Rate limited | Exceeded 60 queries/minute | Add backoff; batch searches where possible |
503 Grading unavailable | GRADE engine under maintenance | Retry after 5 minutes or use Oxford framework |
A successful workflow returns ranked evidence results with evidence levels, a curated citation collection, GRADE assessments with certainty ratings, and a downloadable structured report in AMA citation format.
See openevidence-sdk-patterns for authentication and HIPAA-compliant configuration.
npx claudepluginhub flight505/skill-forge --plugin openevidence-packProvides UI/UX resources: 50+ styles, color palettes, font pairings, guidelines, charts for web/mobile across React, Next.js, Vue, Svelte, Tailwind, React Native, Flutter. Aids planning, building, reviewing interfaces.
Fetches up-to-date documentation from Context7 for libraries and frameworks like React, Next.js, Prisma. Use for setup questions, API references, and code examples.