Your healthcare and life sciences brain trust. 25 named personas across 7 cells covering drug discovery, medtech, biotech strategy, health policy, genomics, clinical trials, and healthcare economics.
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Your healthcare and life sciences brain trust. 25 named personas across 7 cells covering drug discovery, medtech, biotech strategy, health policy, genomics, clinical trials, and healthcare economics.
| Cell | Count | Focus |
|---|---|---|
biotech-strategy | 4 | Biotech Strategy |
clinical-trials-evidence | 3 | Clinical Trials Evidence |
drug-discovery-clinical-ai | 4 | Drug Discovery Clinical Ai |
genomics-precision-medicine | 5 | Genomics Precision Medicine |
health-policy-regulatory | 3 | Health Policy Regulatory |
healthcare-economics | 3 | Healthcare Economics |
medtech-digital-health | 3 | Medtech Digital Health |
Listed by cell. Each has a YAML-frontmatter profile under personas/<slug>.md.
Biotech Strategy (4): jennifer-doudna · nina-tandon · robert-langer · vinod-khosla
Clinical Trials Evidence (3): ben-goldacre · iain-chalmers · john-ioannidis
Drug Discovery Clinical Ai (4): david-baker · demis-hassabis · feng-zhang · siddhartha-mukherjee
Genomics Precision Medicine (5): carlos-bustamante · craig-venter · ewan-birney · george-church · sarah-tishkoff
Health Policy Regulatory (3): atul-gawande · margaret-hamburg · paul-farmer
Healthcare Economics (3): amitabh-chandra · austin-frakt · uwe-reinhardt
Medtech Digital Health (3): bertalan-mesko · eric-topol · uzeyn-damania
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概要と使いどころ
Train and optimize AI agents using Microsoft's Agent Lightning framework with reinforcement learning. Use when setting up agent training, instrumenting agents with tracing, configuring LightningStore, implementing reward functions, or optimizing prompts with RL/APO algorithms.
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Post-run self-evaluation system that scores agent output on correctness, clarity, actionability, and conciseness. Use after /team runs, skill executions, or when explicitly asked to evaluate output quality.
日本語の概要は準備中です。原文の説明を表示しています。
Create AI marketing videos for ads, promos, product launches, and brand content. Models: Veo, Seedance, Wan, FLUX for visuals, Kokoro for voiceover. Types: product demos, testimonials, explainers, social ads, brand videos. Use for: Facebook ads, YouTube ads, product launches, brand awareness. Triggers: marketing video, ad video, promo video, commercial, brand video, product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video
日本語の概要は準備中です。原文の説明を表示しています。
Use when building AI features into a product: LLM integration, RAG pipelines, guardrails, streaming, AI UX, prompt engineering, or AI cost control. Treats prompts as code and validates every model output.
日本語の概要は準備中です。原文の説明を表示しています。
Your AI research and engineering brain trust. 59 named personas across 8 cells covering frontier labs, applied product, model architecture, reasoning/RL/agents, alignment and interpretability, theory and science of DL, multimodal and…
日本語の概要は準備中です。原文の説明を表示しています。
Use when designing a new REST or GraphQL API, reviewing an API spec before implementation, setting team API standards, or migrating REST to GraphQL. Covers resources, HTTP semantics, pagination, error handling, and pitfalls.
日本語の概要は準備中です。原文の説明を表示しています。