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Managedcode Markitdown

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managedcode-markitdown

Managedcode Markitdown is an Agent Skill for documents published in the managedcode/dotnet-skills repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Use ManagedCode.MarkItDown when a .NET application needs deterministic document-to-Markdown conversion for ingestion, indexing, summarization, or content-processing workflows. USE FOR: ManagedCode.MarkItDown integration; document ingestion flows; Office or rich-text conversion to Markdown; indexing and summarization pipelines. DO NOT USE FOR: unrelated stacks; generic tasks that do not need this specific guidance. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

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How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/managedcode/dotnet-skills/blob/HEAD/catalog/Libraries/ManagedCode-MarkItDown/skills/managedcode-markitdown/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/managedcode-markitdown, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

ManagedCode.MarkItDown

Trigger On

  • integrating ManagedCode.MarkItDown into document ingestion flows
  • converting office or rich-text content into Markdown for downstream processing
  • reviewing indexing, chunking, or AI-preparation pipelines that depend on Markdown output
  • documenting file-conversion steps for a .NET application

Workflow

  1. Identify the document sources the app actually handles.
  2. Decide where Markdown conversion belongs in the pipeline:
    • before indexing
    • before chunking
    • before AI summarization or enrichment
  3. Keep conversion isolated behind one ingestion or processing service instead of scattering format handling everywhere.
  4. Validate real converted output for structure, links, headings, and attachment handling.
  5. Document which downstream stage depends on the produced Markdown.
flowchart LR
  A["Input document"] --> B["ManagedCode.MarkItDown conversion"]
  B --> C["Markdown output"]
  C --> D["Indexing, chunking, or AI workflow"]

Deliver

  • guidance on where ManagedCode.MarkItDown fits in a real processing pipeline
  • conversion-boundary recommendations for application design
  • output-validation expectations for document ingestion

Validate

  • the converted Markdown is good enough for the actual downstream consumer
  • conversion is isolated in one clear pipeline step
  • tests or review samples cover the real input formats the application claims to support