shortsmash
Prompt in, finished short out. AI video studio with eyes: CLIP-verified footage, neural voice, karaoke captions, 50-language dubbing, trend harvesting, official publishing APIs
What XERJ indexed
Snapshot
The whole repository at commit a5e7a97e32 (2026-10-24). master is 5 commits ahead.
Selected work
“ShortSmash Social 0.4 gap fixes: distinct platform openers, real LLM …”. 7 files, 971 lines in shortsmash, tests.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-25. 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-agentsclicontent-creationffmpegmcp-serveropen-sourcepythontext-to-video
Example questions
- How does shortsmash implement ai-agents?
- What does shortsmash do in shortsmash?
- Show the cli code in shortsmash.
Inside the indexed corpus
- 129 files, 213.8 MB in total, about 1.7 MB per file.
- The selected commit changed 7 of those files (5.4%).
- Languages by size: Python 92.3%, Batchfile 3.2%, PowerShell 2.5%, Shell 1.8%, Dockerfile 0.2%.
- On GitHub since 2026-10-17, last push 2026-10-25, 68 commits on master.
- The pin is 5 commits behind master; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for hydope/shortsmash on 2026-10-31, and the LICENSE file at commit a5e7a97e32 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
hydope (@hydope) has 1 selected repository on the hub.
Using XERJ with shortsmash
- Code search MCP for Claude Code: cite file:line, not grep shortsmash is tagged mcp-server on GitHub.
- What is an MCP memory server?
- 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 hydope/shortsmash at the pinned commit and indexes it on your machine.
Search the GitHub repository hydope/shortsmash with XERJ (https://hub.xerj.org/corpus/hydope--shortsmash). 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/hydope/shortsmash shortsmash && git -C shortsmash checkout a5e7a97e320c55484bb3c240f1e639162cdff468 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./shortsmash --url http://127.0.0.1:9200 --prefix shortsmash --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
hydopeAI, prompts and agents corporalicenseekotaemonwysking--quantiterazyziyun/reelfoldYuyyxz/kling-prompt-engineeringTakamasa045/tsugite
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.