Individual skill
Parse multi-format RAG inputs with OmniParse
Run OmniParse locally or as an API service to turn documents, images, audio, video, and web pages into structured Markdown-ready inputs for agent and RAG workflows.
skills/parse-multi-format-rag-inputs-with-omniparse/SKILL.md
Source commit fc97377adefd53e861c1d456aa1392e4a4e022a2
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
Standard SKILL.md format has not been attested at this commit. No installation command is available; inspect the source.
Repository context
- Repository stars (not skill ratings)
- 62
- Repository last updated
- Nov 9, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- cursor Repository topic
- npx-skills Repository topic
- openclaw Repository topic
- ai-tools Repository topic
- mcp Repository topic
- awesome-list Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 1,898 bytes
Read excerpt
# Parse multi-format RAG inputs with OmniParse
Run OmniParse locally or as an API service to turn documents, images, audio, video, and web pages into structured Markdown-ready inputs for agent and RAG workflows.
## Prerequisites
Linux, Python 3.10, Conda or virtualenv, Docker optional, GPU recommended for heavier parsing workloads
## Installation
Use the upstream install or setup path that matches your environment:
- git clone https://github.com/adithya-s-k/omniparse
- conda create -n omniparse-venv python=3.10
- conda activate omniparse-venv