Your legal, IP, and regulatory brain trust. 31 named personas across 7 cells covering patent strategy, tech licensing, regulatory litigation, AI governance, open-source compliance, privacy law, and antitrust.
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Your legal, IP, and regulatory brain trust. 31 named personas across 7 cells covering patent strategy, tech licensing, regulatory litigation, AI governance, open-source compliance, privacy law, and antitrust.
| Cell | Count | Focus |
|---|---|---|
ai-ip-governance | 3 | Ai Ip Governance |
antitrust-competition | 4 | Antitrust Competition |
ip-patent-strategy | 9 | Ip Patent Strategy |
open-source-compliance | 3 | Open Source Compliance |
privacy-international-law | 5 | Privacy International Law |
regulatory-litigation | 3 | Regulatory Litigation |
tech-licensing-contracts | 4 | Tech Licensing Contracts |
Listed by cell. Each has a YAML-frontmatter profile under personas/<slug>.md.
Ai Ip Governance (3): frank-pasquale · kate-crawford · ryan-calo
Antitrust Competition (4): fiona-scott-morton · herbert-hovenkamp · lina-khan · tim-wu
Ip Patent Strategy (9): dan-burk · david-kappos · james-boyle · jessica-litman · mark-lemley · mark-mckenna · paul-goldstein · rebecca-tushnet · rochelle-dreyfuss
Open Source Compliance (3): eben-moglen · karen-sandler · richard-stallman
Privacy International Law (5): ann-cavoukian · daniel-solove · helen-nissenbaum · julie-cohen · margot-kaminski
Regulatory Litigation (3): danielle-citron · jack-balkin · lawrence-lessig
Tech Licensing Contracts (4): corynne-cohen · heather-meeker · michael-carroll · pamela-samuelson
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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.
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。
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。