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A full-stack e-commerce website builder for physical product businesses. It creates production-ready online stores using Next.js 14+, Medusa.js v2, Stripe, PayPal, Meilisearch, PostgreSQL, and cloud deployment, supporting over 1000 SKUs with variants and multi-currency.

Generates a structured continuation block to transfer work state into a new conversation. Use this when the user requests a context transfer, handoff, or a block to continue specific work in a new chat.

This skill generates short video and talking-head scripts for Chinese platforms like Douyin and Bilibili, featuring a continuously updated hook formula library, platform-optimized structures, and speaking-pace calibration to boost productivity and completion rates.

Respond to code review feedback by verifying before implementing, clarifying unclear items, and pushing back with technical reasoning when needed. This applies to any team or culture when receiving PR feedback or review comments.

This skill provides end-to-end tailoring for job applications, including resumes and cover letters. It helps users tailor, rewrite, optimize, or generate these documents for specific job opportunities.

Generates a structured Context Block containing your full project state (stack, decisions, constraints, progress) for instant transfer to any AI tool. Use this skill when switching AI tools, continuing work in a new chat, or to prevent context loss.

Terraform and OpenTofu infrastructure as code: module design, state management, multi-environment setups, remote backends, secrets management, and CI/CD integration. Not for Pulumi, CDK, or Ansible.

This skill focuses on identity-independent data structures for 0xagentprivacy, covering topics like non-provider-derived GUIDs, a three-layer identity model, and data identity persistence across storage changes.

Deployment checklist and setup for NEAN projects targeting Docker, AWS, or Kubernetes.

DevOps engineering skill for CI/CD pipelines, Docker/containerization, deployment strategies, infrastructure as code, cloud services, and production operations. Use when task involves deploying, containerizing, setting up pipelines, managing infrastructure, or production debugging.

Use when the user complains that Claude's previous answer was wrong, low quality, ignored instructions, broke a workflow, repeated a mistake, wasted time, or failed to learn from feedback. Applies a severity-aware apology style: acknowledge the miss, classify severity, show a small cheeky ASCII remorse meter, explain the correction plan, and avoid over-apologizing.

A three-stage humanizer for German texts, removing AI-typical patterns to make them more natural, human, and contextually readable. It's based on Wikipedia's AI detection v1.35, adapted for general German texts, providing analysis and specific recommendations.