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Found 3,832 Skills
Use when asked to "working backwards", "PR/FAQ", "Amazon PR/FAQ", "write a press release", "define a new product", or "write a customer-focused PRD". Helps define products by starting with the customer problem and desired outcome before building. The Working Backwards process (developed at Amazon) forces clarity on customer value before committing engineering resources.
Skill for deploying to production environment. Covers CI/CD, environment configuration, and deployment strategies. Use proactively when user is ready to deploy or asks about production environment setup. Triggers: deployment, CI/CD, production, Vercel, Kubernetes, Docker, 배포, デプロイ, 部署, despliegue, implementación, producción, déploiement, mise en production, Bereitstellung, Produktion, distribuzione, messa in produzione Do NOT use for: local development, design phase, or feature implementation.
Run e2e tests, fix flake and outdated tests, identify bugs against spec. Use when running e2e tests, debugging test failures, or fixing flaky tests. Never changes source code logic or API without spec backing.
Run a generic Vast.ai API lifecycle from offer search to teardown with safety checks and reproducible request steps. Use when users need to list/filter offers, create instances, attach SSH keys, poll readiness, stop/destroy instances, or inspect billing/usage, and when required runtime fields (image, instance type, API key source) should be collected in dialog with default suggestions.
Use when automating browser interactions via CLI, filling forms, taking screenshots, scraping pages, or asking about "agent-browser", "browser automation", "headless browser", "web scraping", "form filling", "Vercel browser"
Generates end-to-end student projects that reinforce specific modular learning objectives. Use to create professional-grade portfolio pieces and assessment tasks for engineering mentees.
Enforce Pythonic standards using Black, Isort, and Flake8. Use to ensure consistency across large Python codebases and team environments.
Search for academic literature, empirical evidence, and scholarly research using the Dimensions database. Use when seeking research papers to support product decisions, find empirical studies, conduct literature reviews, explore funding patterns, validate hypotheses with academic sources, or discover research trends. Supports publications, grants, patents, clinical trials, and researcher profiles. Triggers on requests for "academic evidence", "empirical research", "find studies", "literature search", or "research to support decisions".
Enforce shadcn/ui patterns, imports, and CLI-first component usage.
Prepare for journalism interviews with research checklists, question frameworks, and attribution guidelines. Use when preparing to interview sources, planning follow-up questions, or managing interview logistics. Covers consent, recording laws, and professional protocols.
Apply Model-First Reasoning (MFR) to code generation tasks. Use when the user requests "model-first", "MFR", "formal modeling before coding", "model then implement", or when tasks involve complex logic, state machines, constraint systems, or any implementation requiring formal correctness guarantees. Enforces strict separation between modeling and implementation phases.
Generate platform-specific social post variants (Twitter, LinkedIn, Reddit) from one source input using a local Node.js script with no API dependency.