Skill UI

Provides production-ready coding patterns for integrating Deepgram using TypeScript and Python. This guide covers essential best practices, including implementing singleton client management, performing text-to-speech synthesis with Aura, and setting up advanced audio intelligence pipelines (e.g., summarization, topic detection, sentiment analysis). Use this when establishing robust Deepgram integration standards, refactoring existing SDK usage, or migrating to newer SDK versions.

This comprehensive guide defines the secure data lifecycle management for OpenEvidence, an AI-powered platform for clinical evidence synthesis. It outlines data classification (e.g., clinical queries, patient responses), strict adherence to global regulations (HIPAA, GDPR, FDA), and technical requirements for handling Protected Health Information (PHI). Key processes include PHI de-identification, data validation, secure API integration, and compliant data export, ensuring the system maintains the highest level of patient privacy and regulatory compliance.

This guide demonstrates how to implement robust rate limiting and retry logic for critical healthcare APIs using a token bucket pattern. It covers managing specific service limits (e.g., clinical queries, evidence synthesis) and implementing strategies like exponential backoff and batch processing to ensure graceful degradation and reliable data retrieval in clinical decision support systems.

Comprehensive expertise in designing and implementing low-latency, production-ready voice AI applications and conversational agents. Covers the full stack from real-time audio streaming (WebRTC, LiveKit) to advanced NLU and speech synthesis (OpenAI, ElevenLabs, Deepgram). Ideal for building next-generation voice assistants, virtual call centers, and voice-enabled mobile experiences while optimizing for perceived responsiveness and latency budgets.

Provides comprehensive guides for upgrading the ElevenLabs SDK (JS and Python) and migrating between model generations. This guide covers necessary steps for package renaming, model ID changes (e.g., v1 to v3), API endpoint stability, and best practices for maintaining compatibility during major platform updates. Essential for developers working with advanced voice synthesis.

This guide serves as a specialized workflow router for authors writing invited review articles for the Annual Review of Economics (ARE). It maps the entire lifecycle, from initial topic selection and proposal framing to systematic literature synthesis, framework imposition, evidence appraisal, and final revision, ensuring the resulting article is authoritative and comprehensive.

This guide serves as a comprehensive router for authors preparing an invited review article for the Annual Review of Psychology (ARPsych). It outlines the systematic, multi-stage process, guiding authors through topic selection, literature synthesis, framework development, writing style refinement, and final submission/revision, ensuring the final piece is authoritative and comprehensive.

This workflow guides the entire process of writing an authoritative, invited review article for the Annual Review of Sociology (ARSoc). It systematically routes the author through the academic lifecycle, covering stages from topic selection and systematic literature synthesis to imposing an organizing framework and final revision, ensuring the output is a comprehensive analytical map of a subfield.

This skill provides comprehensive guidance for authors writing critical, authoritative reviews targeting Coordination Chemistry Reviews (CCR). It details the required scope, mandatory synthesis level, and specific house style expectations concerning advanced topics such as MOFs, coordination catalysis, and bioinorganic chemistry. Use it to assess topic fit, structure a manuscript, and re-frame work for submission to this specialized journal.

This guide provides rigorous criteria for authors targeting top-tier journals in electrochemical energy storage. It emphasizes that successful submissions must move beyond simple synthesis-plus-capacity reports, instead focusing on robust structure–property–mechanism relationships, supported by advanced operando/in-situ characterization and detailed scientific evidence.

This skill provides a comprehensive guide for authors determining the fit of their empirical software engineering (SE) manuscript for the International Symposium on Empirical Software Engineering and Measurement (ESEM). It helps authors rigorously check the study design, evidence bar, proper framing, and necessary re-framing required to transform a journal or arXiv-style paper into a high-quality conference submission suitable for ESEM reviewers. It focuses on measurement validity, experimental rigor, and evidence synthesis.

This guide provides a comprehensive checklist for auditing experimental rigor in chemical manuscripts, particularly for high-impact journals like JACS. It covers necessary characterization data for new compounds, including NMR, HRMS, elemental analysis, and stereochemistry, and ensures mechanisms and catalytic claims are fully supported by appropriate controls and data.