ddosi
Featured
PacketLens
PacketLens is a pure front-end, offline pcap analysis tool that runs entirely in the browser, supporting deep protocol decoding, HTTPS decryption, and million-packet instant loading without any backend.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It automates a complex multi-source research workflow (11 search directions, quality checks, map generation) into a single natural language request, delivering a comprehensive, actionable report with reliability guarantees.
Who it is for
- Chinese city travelers seeking fast, up-to-date weekend itineraries
- Claude Code/Codex users who want a practical, pre-built skill for travel planning
- Developers interested in AI-driven web research automation patterns
Use cases
- Discover weekend events (concerts, markets, sports) in any Chinese city using one sentence
- Generate a formatted Markdown or HTML travel report with maps within minutes
- Plan a short trip (≤1 month) with curated routes for different interests (romantic, family, cultural)
Strengths
- Parallelizes 11–15 API calls with built-in quality checks and up to 2 rounds of auto-correction for accuracy
- Forces recency via query keywords and verified sources; avoids hallucination by requiring ≥2 sources for key data
- Optional map generation powered by Amap (Gaode) with geocoding and interactive markers, all offline-ready
Considerations
- Only supports Chinese mainland cities; overseas coverage is poor due to Chinese index focus
- Depends on external APIs (anysearch for research, Amap for maps) – keys are required for full functionality
- Maximum depth is limited to short-term travel; long-term relocation or single-topic deep dives are out of scope
README quick start
使用示例
Description
claude code / codex skill , 一个让 AI 帮你 5 分钟深度调研任意中国城市周末玩法的agent skill,基于**博查 WebSearch API**(博查 API),输出图文并茂、可执行的 Markdown / HTML 攻略。
Related repositories
Similar projects matched by category, topics, and programming language.
ViffyGwaanl
Featured
kimi-k3-learn
An interactive learning system that turns the 47-page Kimi K3 technical report into a single offline HTML file with running algorithms, 3D visualizations, spaced repetition quizzes, and a smart highlighting QA tool.
iamtechartist
Featured
human-cell-visualizer
An interactive 3D visualization of three human cell types using Three.js, WebGL particles, and custom GLSL shaders, allowing users to rotate, zoom, morph, and explore annotated structures.