JiaCui Rao

Corpus Hub contributor since 2026-10-20

JiaCui Rao's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus

1selected commit

6files

211lines

★ 644GitHub stars on repo

Totals across every corpus @raojiacui appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the prompt-lens corpus

raojiacui/prompt-lens: 反推出AI视频的提示词，并配有音频分析功能，可提取视频中的台词文案，并且一句话就可剪辑出你要的视频

Look up how prompt-lens implements ai-video, ffmpeg, prompt-engineering, with answers cited to file and line.
Reuse a worked example: the commit “Remember sign-ins for 30 days and skip repeat login” (6 files · TypeScript).
Answer from prompt-lens's real TypeScript source instead of memory (AI, prompts and agents).

Example questions

Where does prompt-lens handle “Remember sign-ins for 30 days and skip repeat login”?
How does prompt-lens implement ai-video?
What does tests do in prompt-lens?

Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.

Search the GitHub repository raojiacui/prompt-lens with XERJ (https://hub.xerj.org/corpus/raojiacui--prompt-lens).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/raojiacui/prompt-lens prompt-lens && git -C prompt-lens checkout 9d6552fe22dcd2c10d0e5343ee07dd9b1266ec06
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./prompt-lens --url http://127.0.0.1:9200 --prefix prompt-lens --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

corpus raojiacui--prompt-lens · AI, prompts and agents
Related corpora: 12-factor-agents, promptify, Takamasa045/tsugite, zyziyun/reelfold
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 644

raojiacui/prompt-lens

9d6552fe22 Remember sign-ins for 30 days and skip repeat login

selected commit: 6 files · 211 lines · TypeScript · tests, app, app/login

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus raojiacui--prompt-lensAIMITai-videoffmpegprompt-engineeringshot-detectionvideo-analysisvideo-generation agreed 2026-10-20

Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/raojiacui/badge.svg)](https://hub.xerj.org/contributors/raojiacui)

Included with the author's permission (email, 2026-10-20), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.