Everything in the catalog

AGENTS.md from ayghri/i-have-adhd: 73 lines covering Start here, AI Agora discussions, Repository map, Runtime entry points and more.

Python framework for live data processing and RAG pipelines that run on a Rust engine.

⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的 AI 舆情监控助手与热点筛选工具！聚合多平台热点 + RSS 订阅，支持关键词精准筛选。AI…

Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations.

AGENTS.md from router-for-me/CLIProxyAPI: 64 lines covering Repository, Commands, Config, Architecture and more.

Long-term memory layer that lets AI assistants and agents keep user context across sessions.

Analyze a codebase to produce an interactive knowledge graph for understanding architecture, components, and relationships

Core agent-browser usage guide.

Elasticsearch as a vector database, combining vector search with hybrid lexical search, filters and reranking.

Automate Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify, etc.) using agent-browser via Chrome DevTools Protocol.

Generate competitive SEO content briefs with per-section word counts, competitor scoring, keyword placement guidance, and page-type templates.

Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic.

Writes and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation.

Read the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives…

Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF.

Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML.

Use for creating publication-quality charts and multi-panel analysis summaries.

Use when processing large PDFs, document collections, or bulk text extraction tasks that benefit from GPU-accelerated processing.

Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns.

Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries.

Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback —…

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database.

Drafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images.

Capture a Textual terminal UI as an SVG using its headless test harness.