Explore skills

Clinical safety code review against DCB0129/DCB0160 and NHS Digital standards. This is NOT a general code review — it is a clinical safety audit for tools handling clinical data, calculations, decision support, or patient-facing information. Produces a hazard register, required mitigations, and a release recommendation.

Clinical Safety Case Report (CSCR) writer for health IT systems. Produces a structured safety case argument aligned with NHS England DCB0129/DCB0160 requirements. Covers system description, intended purpose, hazard summary, risk control evidence, the safety argument, and DCSO sign-off sections. Use when preparing for Clinical Authority to Release (CATR) or demonstrating compliance.

Ship a CQAI tool to GitHub and Hugging Face Spaces in a single workflow. Runs pre-flight checks, commits and pushes to GitHub, pushes to HF Spaces, waits for build, and verifies the app is live. Use after /qa-streamlit passes.

Use when the user is explicitly inside the Claws Temple Bounty 2.0 workflow, names Claws Temple / 龙虾圣殿 / Claws Temple Bounty 2.0, or is already continuing this branded five-task path. This skill packages the five-step journey that sends an Agent into the wild to make friends. Do not use for generic numbered tasks, generic bounty requests, or unrelated partner-matching requests outside this brand c

TypeScript and Angular coding best practices. Use when working with TypeScript, Angular, or Node.js files: implementation, testing, refactoring, RxJS Observables, type system, strict mode, generics, and async patterns.

Define quality criteria for AI features and set up monitoring, evaluation, and iteration loops. Use this skill when a team needs to ensure their AI feature maintains acceptable quality in production.

Frame the value of an AI feature in terms of user outcomes and business impact, not model capabilities. Use this skill when a team needs to articulate why an AI feature is worth building and what success looks like.

Generate and frame AI feature ideas with clear value propositions and feasibility considerations. Use this skill when a team wants to explore AI-powered capabilities for their product.

Structure the trade-off decision between AI models, providers, or approaches for a given product use case. Use this skill when a team needs to choose between AI options with different capability, cost, latency, and risk profiles.

Design and run a structured evaluation of an AI prototype to assess quality, user experience, and readiness for development. Use this skill when an AI feature prototype needs to be evaluated before committing to full development.

Ensure product decisions are aligned with the revenue model, pricing strategy, and commercial goals. Use this skill when a team needs to check or strengthen alignment between product direction and revenue outcomes.

Analyze unit economics including CAC, LTV, payback period, and gross margin to assess product and business health. Use this skill when a team needs to understand the economic health of their product or business model.