Document Parser

SkillFiles & storage

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Document Parser skill

What this skill tells your AI

The instructions your AI receives, as published by sandbaseai/sandbase-skills in research/document-parser/SKILL.md and read by ahel’s review.

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 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.

Signals

GitHub stars
164
Forks
12
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
document-parser
Source
github.com/sandbaseai/sandbase-skills