document-parser

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Parse and extract structured content from PDFs, Word documents, and other file formats. Converts documents into clean, machine-readable text for analysis, summarization, data extraction, and content processing workflows.

Data & Documents 156 stars 12 forks Updated 3 days ago Apache-2.0

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Quality Score: 85/100

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100
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Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Document Parser Parse and extract structured content from PDFs, Word documents, and other file formats. Converts documents into clean, machine-readable text for analysis, summarization, data extraction, and content processing workflows. Read [the API map](references/sandbase-api-map.md) before selecting a capability. ## Call SandBase capabilities For every selected tool, call `sandbase_describe_tool` first and use only arguments in its current input schema. Then call `sandbase_call_tool` with the exact `tool_name`. ## Available Tools - `agentbody_document_parse` ## Workflow 1. Understand the user's research question, target, and context. 2. Call `sandbase_describe_tool` for each selected tool to confirm parameter schema. 3. Call `sandbase_call_tool` with the exact tool_name and schema-defined arguments. 4. Synthesize findings into a clear, evidence-backed answer. 5. Cite sources, note evidence gaps, and separate observations from interpretations. ## Guidelines - Always call `sandbase_describe_tool` before using any capability. - Cite sources and preserve attribution (URLs, usernames, dates, metrics). - Separate factual observations from analysis and recommendations. - If data is unavailable, note the gap and continue with available evidence. - Read-only research only. Never take actions on platforms.

Details

Author
sandbaseai
Repository
sandbaseai/sandbase-skills
Created
1 months ago
Last Updated
3 days ago
Language
Python
License
Apache-2.0

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