clinicaltrials-database
Query ClinicalTrials.gov via API v2. Search trials by condition, drug, location, status, or phase. Retrieve trial details by NCT ID, export data, for clinical research and patient matching.
浏览和安装 Killer-Skills 目录中的数千个 AI Agent 技能。支持 Claude Code、Windsurf、Cursor 等。
Query ClinicalTrials.gov via API v2. Search trials by condition, drug, location, status, or phase. Retrieve trial details by NCT ID, export data, for clinical research and patient matching.
Complete feature development workflow orchestrating multiple skills from planning to deployment. Triggers: FD, 新功能, 開發功能, feature, implement, 實作, 實現, 建立功能, create feature, develop, 開發新, add feature, 加功能, 功能開發.
Define technical approach (architecture, integration points, data model) for a feature through guided Q&A and write FEATURE_TECHNICAL_SPEC.md. Use after /feature-spec.
Generates technical implementation plans and architectural strategies that enforce the Project Constitution. Use when designing new features, starting implementation tasks, refactoring code, or ensuring compliance with critical standards like Testability-First Architecture, security mandates, testing strategies, and error handling.
Defines frontend environment variables, component design, and data flow patterns. Use when configuring React environment.
🔬 AI-powered medical paper writing toolkit — from PubMed search to Word export, all inside VS Code
Generate marketing content tailored for clinical trial EDC audiences including blog posts, thought leadership articles, and social media content with industry-appropriate tone and SEO optimization.
Guide evaluation of healthcare AI systems with domain-specific safety criteria, clinical accuracy rubrics, and score interpretation. Use when building or reviewing health/medical AI evaluations.
AI-powered spec-driven development framework with 26+ specialized subagents, mandatory TDD, immutable architectural constraints, and automated quality gates — enforcing zero technical debt from ideation to release.
Provide actionable treatment recommendations for cancer patients based on molecular profile. Interprets tumor mutations, identifies FDA-approved therapies, finds resistance mechanisms, matches clinical trials. Use when oncologist asks about treatment options for specific mutations (EGFR, KRAS, BRAF, etc.), therapy resistance, or clinical trial eligibility.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Router skill for ToolUniverse tasks. First checks if specialized tooluniverse skills (54 skills covering disease/drug/target research, clinical decision support, genomics, transcriptomics, single-cell analysis, variant analysis, phylogenetics, statistical modeling, image analysis, epigenomics, chemical safety, systems biology, multi-omics integration, proteomics, metabolomics, spatial omics, immune repertoire analysis, and more) can solve the problem, then falls back to general strategies for using 1400+ scientific tools. Covers tool discovery, multi-hop queries, comprehensive research workflows, disambiguation, evidence grading, and report generation. Use when users need to research any scientific topic, find biological data, or explore drug/target/disease relationships.