- 📁 references/
- 📁 templates/
- 📄 SKILL.md
notte-browser
Command-line interface for browser automation, web scraping, and AI-powered web interactions using the notte.cc platform.
Command-line interface for browser automation, web scraping, and AI-powered web interactions using the notte.cc platform.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Browse the web for any task — research topics, read articles, interact with web apps, fill forms, take screenshots, extract data, and test web pages. Use whenever a browser would be useful, not just when the user explicitly asks.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, or extract information from web pages.
When the user wants to analyze, visualize, or explore network graphs using Gephi, this skill provides workflows and best practices for the 73 Gephi MCP tools. Triggered when the user mentions Gephi, network analysis, graph visualization, community detection, social network analysis, or graph metrics.
> **网络ID**: football_league
Persistent browser daemon for live web testing, UI verification, and authenticated flows. Use when Claude needs to interact with a running web app — staging, localhost, or production.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Browser automation using Playwright MCP. Navigate websites, fill forms, click elements, take screenshots, and extract data. Use for web browsing, form submission, web scraping, or UI testing. NOT for static content (use curl/wget).
Search the web with multiple output formats using the Qryma API. Use this skill when the user wants to search the web, find information on a specific topic, says "search", "look up", "find information", "web search", or needs quick answers from the internet. Supports Markdown format for readability, JSON for structured data, and Brave search-like format.
Network reconnaissance and AI/ML service detection. Scan IP ranges with ping sweeps, port scanning, DNS resolution, and AI service probing across 45 detection signatures. Use when the user wants to discover hosts, open ports, or AI/ML services on a network.
Search, enrich, score, and analyze LinkedIn connections for prospecting. Use for finding leads, analyzing network hubs, scoring ICP fit, identifying referral partners, generating outreach campaigns, or producing network reports.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
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