scenecast
Turn a short scene file into a narrated, audited walkthrough video of your real web app
What XERJ indexed
Snapshot
The whole repository at commit c5ac5a735b (2026-10-26). main is 41 commits ahead.
Selected work
“caption wrap avoids ending a line on a function word, hover ring…”. 14 files, 629 lines in packages/cli, packages/core.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-28. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
ai-agentsclaude-codeclidemo-videodeveloper-toolsplaywrightscreen-recordingtext-to-speech
Example questions
- How does scenecast implement ai-agents?
- What does packages/cli do in scenecast?
- Show the claude-code code in scenecast.
Inside the indexed corpus
- Languages by size: TypeScript 64.3%, Python 18%, HTML 11.2%, JavaScript 3.9%, CSS 2.7%.
- On GitHub since 2026-10-27, last push 2026-10-28, 95 commits on main.
- The pin is 41 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for ldmallari/scenecast on 2026-10-29, and the LICENSE file at commit c5ac5a735b was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Levin Mallari (@ldmallari) has 1 selected repository on the hub.
Using XERJ with scenecast
- A local search tool for Codex and Cursor scenecast is tagged claude-code on GitHub.
- Local code search MCP that uses fewer tokens than grep
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- Best grep alternative for AI coding agents (2026)
The prompt
Paste it into your AI agent. It clones ldmallari/scenecast at the pinned commit and indexes it on your machine.
Search the GitHub repository ldmallari/scenecast with XERJ (https://hub.xerj.org/corpus/ldmallari--scenecast). 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/ldmallari/scenecast scenecast && git -C scenecast checkout c5ac5a735b2f005ebdc7cf506d4a8580f9d32b8d 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./scenecast --url http://127.0.0.1:9200 --prefix scenecast --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.
Related
Levin MallariAI, prompts and agents corporaxerj-blogpostslexbuildfaahAndreyBegma/DemoFlowAnayDhawan/openvidstudiojayzeng/agentmemory
Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.