shodan-vuln-scan
Identify vulnerabilities in internet-facing systems using Shodan. Use for vulnerability assessment, CVE discovery, and security auditing. Triggers on requests for "vulnerability scan", "find vulns", "CVE check"...
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Identify vulnerabilities in internet-facing systems using Shodan. Use for vulnerability assessment, CVE discovery, and security auditing. Triggers on requests for "vulnerability scan", "find vulns", "CVE check"...
Perform comprehensive reconnaissance using Shodan. Use for asset discovery, network mapping, and identifying internet-facing systems. Triggers on requests for "recon", "reconnaissance", "asset discovery", "find...
Build accessible UIs using HeroUI v3 components (React + Tailwind CSS v4 + React Aria). Use when creating React interfaces, selecting UI components, implementing forms, navigation, overlays, or data display. Us...
Run security audit with GitLeaks pre-commit hook setup and code analysis
Audit and fix Tailwind CSS anti-patterns. Enforces spacing direction (bottom-only), size-* usage, gap preference, 8px grid, and other best practices.
Project code structure and file organization. Use when creating files, organizing components, or deciding where code should live. (project)
OpenFGA authorization modeling best practices and guidelines. This skill should be used when authoring, reviewing, or refactoring OpenFGA authorization models. Triggers on tasks involving OpenFGA models, relati...
Instructions for checking global CLI context and logging handoffs.
Unified Memory Contract for Project Memory integration. Defines when and how to retrieve and store memory using local files.
Unified document lifecycle management. Defines terminal statuses, unified numbering via .next-id, close procedures, and orphan detection. Load at session start.
Best practices and rules for generating error-free Mermaid diagrams.
Essential rules for ensuring agents complete full multi-step workflows without stopping prematurely.
Guidelines for running long-lived processes (servers, watchers) without blocking agent execution.
Guidelines for using the Context7 MCP server to fetch real-time documentation and code examples.
Generate professional cover letter from career data. Use when creating a narrative-style introduction that tells your career story with personality and passion.
Extract and categorize yearly career data into structured components (what_i_did, my_thoughts, performance). Use when processing raw yearly markdown files into organized sections.
Synthesize structured career components (what_i_did, my_thoughts, performance files) into a cohesive professional resume. Use when generating resumes from extracted yearly data.
Generate GitHub profile README.md from career data. Use when creating or updating GitHub profile page with auto-generated content from resume and career files.
Translate and adapt resumes for different formats, languages, and audiences. Use when converting resumes to PDF/HTML, translating to other languages, or tailoring for specific roles.
Train LangChain/LangGraph agents using Microsoft Agent-Lightning APO (Automatic Prompt Optimization). Use when user mentions APO training, prompt optimization, agent-lightning, training multi-agent systems, tra...
Creates Claude skills with proper structure and best practices. Use when the user asks to create a new skill, generate a skill, or build a custom Claude capability.
Implements TF-IDF based search engines for text datasets using vector space models and cosine similarity. Use when building search functionality, finding similar documents, ranking text by relevance, or working...
Integrates Clerk authentication into Next.js App Router applications following current best practices. Use when the user asks to "add Clerk", "integrate Clerk", "set up Clerk authentication", "add user authenti...
Helps write rap lyrics with proper rhythm, flow, cadences, and structure. Teaches musical fundamentals (bars, beats, tempo, BPM) and lyric formatting. Use when writing rap lyrics, creating verses, understanding...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。