Agent Skills Hub

skill-reinforcement

An automated meta-learning skill that improves agent workflows by capturing patterns, failures, and shortcuts after each task execution.

swe-cli-skills

Expert CLI guides for AI agents, featuring senior engineer workflows, safety guardrails, and operational patterns for cloud, IaC, containers, databases, and dev tools.

tikz-flowchart

Create professional technical diagrams and flowcharts using LaTeX TikZ with standardized Google Material and Anthropic-inspired design themes.

agentdb-state-manager

Persistent state management and workflow analytics using DuckDB for task dependency tracking, historical metrics, and context checkpointing.

scraper

Automated CLI tool to scrape and convert Notion, DocSend, PDFs, and general web documents into local PDF files with session persistence and daemon support.

ideate

Capture and formalize software development ideas into structured design documents within the Hashbrown repository, including research and conceptual sketches.

compatibility-testing

Orchestrate cross-browser, cross-device, and responsive design testing using cloud providers like BrowserStack and Playwright to ensure consistent user experiences.

social-push

Automate social media content publishing using agent-browser to draft posts on platforms like Xiaohongshu, X, Weibo, WeChat, and Juejin directly from your browser.

zed-editor

Provides comprehensive knowledge on Zed Editor and the Agent Client Protocol (ACP), including AI agent integration, performance tuning, and configuration for professional development workflows.

vercel-deploy

Deploy applications to Vercel instantly. Supports preview and production deployments, automatic framework detection, and fallback script execution for seamless project publishing.

design-references

Provides predefined design system references for UI reviews, including Material Design 3, Apple HIG, Tailwind UI, Ant Design, and Shadcn/ui.

saving-codeacts

Preserve successful Python code executions as reusable tools within the gentools package structure, utilizing Pydantic models for structured output and type-safe interfaces.