x-api
“We install the AI systems that help your business capture leads, respond instantly, create content, automate admin, and convert more customers without hiring more staff.”
浏览和安装 Killer-Skills 目录中的数千个 AI Agent 技能。支持 Claude Code、Windsurf、Cursor 等。
“We install the AI systems that help your business capture leads, respond instantly, create content, automate admin, and convert more customers without hiring more staff.”
Converts Stitch designs into modular Vite and React components using system-level networking and AST-based validation.
Execute SQL queries against the local PostgreSQL database. Accepts raw SQL or natural language queries that get converted to SQL automatically. Use for inspecting data, running queries, or managing the Kindle notes database.
Execute SQL queries against the local PostgreSQL database. Accepts raw SQL or natural language queries that get converted to SQL automatically. Use for inspecting data, running queries, or managing the Kindle notes database.
Generate spaced repetition flashcards from notes or topics. Use when user wants to create flashcards, make review cards, prepare for spaced repetition, or convert notes to quiz format. Triggers on flashcards, make cards, spaced repetition, review cards.
Convert PDFs in a folder to Markdown and extract embedded images (including JPEG2000 -> PNG) using pypdf.
Convert Markdown to Word (DOCX) documents. Use when user wants to export, convert, or create Word documents from Markdown content.
Convert markdown planning documents to Overseer tasks via MCP codemode. Use when converting plans, specs, or design docs to trackable task hierarchies.
Use when adding new mod parsers to convert game mod strings to typed Mod objects - guides the template-based parsing pattern (project)
RALPH技能是一种自动化工具,用于将PRD Markdown文件转换为prd.json格式
Extract TikZ diagrams from Beamer source, compile to PDF, convert to SVG with 0-based indexing. Use when updating TikZ diagrams for Quarto slides.
Run a parallel diverge-then-converge design tournament — 3-5 independent agents explore a problem, then 2 ranking agents evaluate and stack-rank the results with confidence scores