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Generates CSS rules from natural language descriptions, enabling rapid UI prototyping and design iteration.

Seamlessly connects your FastAPI applications to mem0's vector database for rapid semantic search and retrieval.

Refactors Markdown documents into cleaner, more structured formats using advanced AI parsing and semantic understanding.

Ark Embedding generates vector embeddings for your data, enabling semantic search and similarity analysis across diverse text formats.

This skill generates diverse embedding strategies for optimal semantic understanding and retrieval across various AI models & datasets.

Semantic search sidecar for Karakeep bookmarks. Find bookmarks by meaning, not just keywords. Uses vector embeddings for intent-aware retrieval.

Fast Obsidian-aware semantic search for AI agents. Query your Obsidian vault by content, tags, backlinks, and metadata. Makes your AI agent a true knowledge assistant — without sending vault data to the cloud.

Preflight security scanner for AI coding agents — scans deployment config, skills/MCP servers, memory/sessions, and AI agent config files (hooks injection) for secrets, PII, prompt injection, and dangerous patterns. Runs 4 model behavior probes (persuasion, sandbagging, deception, hallucination). Supports LLM-enhanced semantic analysis. Works with OpenClaw, Claude Code, Cursor, and Codex. Use when a user asks for a security audit, health check, or wants to scan their AI agent setup for vulnerabilities.