GPU Document Processing
Skill VerifiedUse when processing large PDFs, document collections, or bulk text extraction tasks that benefit from GPU-accelerated processing. Triggers when the user provides large documents or needs bulk document analysis.
It employs a sandbox-as-tool architecture where complex processing is offloaded to a GPU environment while the agent handles reasoning on the CPU. The skill integrates with NVIDIA NIM for scalable deployments and is designed for tasks involving large documents or collections.
Compliance
- info:GDPRThe skill processes documents, which may contain personal data. While no specific sanitization is detailed, the architecture separates processing in a sandbox, which might limit direct exposure to the LLM without further context on data handling within the sandbox.
Practical Utility
- info:Usage examplesWhile the skill describes its capabilities, specific end-to-end usage examples with inputs and expected outputs are not provided in the SKILL.md file.
- info:Edge casesThe skill mentions handling multi-column layouts and corrupted pages for PDF extraction, but a comprehensive list of failure modes and recovery steps is not detailed.
Installation
npx skills add langchain-ai/deepagentsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
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