Browse Skills

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Use when writing JavaScript for Discourse core, themes, or plugins - covers jQuery phaseout, Ember patterns, singleton imports, lifecycle hooks, and cleanup requirements

Python coding guidelines and best practices. Use when writing, reviewing, or refactoring Python code. Enforces PEP 8 style, syntax validation via py_compile, unit test execution, modern Python versions only (no EOL), uv for dependency management when available, and idiomatic Pythonic patterns.

Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video

Use when building MCP servers in TypeScript, Python, or C#; when implementing tools, resources, or prompts; when configuring Streamable HTTP transport; when migrating from SSE; when adding OAuth authentication; when seeing MCP protocol errors

Browser automation via Puppeteer CLI scripts (JSON output). Capabilities: screenshots, PDF generation, web scraping, form automation, network monitoring, performance profiling, JavaScript debugging, headless browsing. Actions: screenshot, scrape, automate, test, profile, monitor, debug browser. Keywords: Puppeteer, headless Chrome, screenshot, PDF, web scraping, form fill, click, navigate, network traffic, performance audit, Lighthouse, console logs, DOM manipulation, element selector, wait, scroll, automation script. Use when: taking screenshots, generating PDFs from web, scraping websites, automating form submissions, monitoring network requests, profiling page performance, debugging JavaScript, testing web UIs.

Chrome DevTools Protocol (CDP) browser automation, web scraping, crawling. 브라우저 자동화, 웹 스크래핑, 크롤링. Features/기능: screenshot with region control 영역지정스크린샷, viewport control 뷰포트제어, PDF generation PDF생성, web scraping 웹스크래핑, data extraction 데이터추출, form filling 폼작성, login automation 로그인자동화, click/input 클릭/입력, element finder 요소찾기, tab management 탭관리, cookie control 쿠키제어, JavaScript execution JS실행, page navigation 페이지이동, wait for element 요소대기, scroll 스크롤, accessibility tree 접근성트리, console messages 콘솔메시지, network idle 네트워크대기, back/forward 뒤로/앞으로, reload 새로고침, file upload 파일업로드, React compatibility React호환성, Smart Mode with Interaction Map 스마트모드. Selectors 셀렉터: CSS selectors (ID, class, attribute), XPath selectors with wildcard * (text-based, structural), XPath indexing (select N-th element with same text). Smart Mode: text-based element search with automatic selector generation. Bot detection bypass 봇감지우회 (navigator.webdriver=false). Auto Chrome connection 자동크롬연결. Headless/headed mode. Daemon-based architecture 데몬기반. Interaction Map System 인터랙션맵. React/framework compatibility React/프레임워크호환성.

This skill should be used when the user asks to 'write landing page copy', 'improve conversion', 'optimize CTA', 'review signup flow', 'write headlines', 'form microcopy', 'trust signals', 'onboarding copy', 'lead gen copy', or needs high-converting copy for signup forms, multi-step flows, and lead generation funnels.

The complete operating system for OpenClaw agents. Zero-terminal agent-driven setup, quick-start persona presets, in-chat commands, ambient context monitoring, enforced heartbeat protocol (model + version display), traffic-light status indicators, auto-migration, auto-pruning, config validator, version tracking, structured escalation protocol, context protection, security inoculation, shared-channel discipline, team integration, proactive patterns, never-forget protocol, 8 operating rules, and 4 growth loops. One install. Complete system. Built by Jeff J Hunter.

Scan OpenBot/Clawdbot skills for security vulnerabilities, malicious code, and suspicious patterns before installing them. Use when a user wants to audit a skill, check if a ClawHub skill is safe, scan for credential exfiltration, detect prompt injection, or review skill security. Triggers on security audit, skill safety check, malware scan, or trust verification.

Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction.

Generate production-ready Next.js/React components from design specifications. Use this skill when you have a design specification document and need to create React/TypeScript components with Tailwind CSS styling, Vitest tests, and Storybook documentation.

This skill should be used when the user asks to "legal review", "policy review", "review AI policy", "法務レビュー", "ポリシーチェック", or needs brand-conscious legal review for company communications that prioritize community trust over legal safety.

Expert guidance for building web scrapers and crawlers using the Scrapy Python framework with best practices for spider development, data extraction, and pipeline management.

Use OpenSearch vector search edition via the Python SDK (ha3engine) to push documents and run HA/SQL searches. Ideal for RAG and vector retrieval pipelines in Claude Code/Codex.

Build vector retrieval with DashVector using the Python SDK. Use when creating collections, upserting docs, and running similarity search with filters in Claude Code/Codex.

SSH 连接和管理远程服务器。使用 paramiko (Python) 库，支持在 Windows/Linux 上通过 SSH 执行远程命令、安装软件、查看日志等操作。

Create, edit, and manipulate PowerPoint presentations programmatically using python-pptx

Create, edit, and analyze Microsoft Word .docx files (reports, contracts, proposals) with styles, tables, headers/footers, template filling, content extraction, and conversion to HTML; support review workflows (comments/highlights) and inspect tracked changes via OOXML when needed using Python/Node.js (python-docx, docxtpl, mammoth.js, docx).

Progressive Python quality improvement with static analysis, type refinement, modernization planning, plan review, and test-driven implementation. Use when addressing technical debt, eliminating Any types, applying modern Python patterns, or refactoring for better design.