pandoc-2-image-management

Sub-skill of pandoc: 2. Image Management (+2).

5 stars

Best use case

pandoc-2-image-management is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of pandoc: 2. Image Management (+2).

Teams using pandoc-2-image-management should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/2-image-management/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/development/documentation/pandoc/2-image-management/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/2-image-management/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How pandoc-2-image-management Compares

Feature / Agentpandoc-2-image-managementStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of pandoc: 2. Image Management (+2).

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 2. Image Management (+2)

## 2. Image Management


```markdown
<!-- Recommended image syntax -->

![Image caption](images/diagram.png){width=80%}

<!-- With cross-reference -->
![System architecture](images/arch.png){#fig:arch width=100%}

See @fig:arch for the overview.


*See sub-skills for full details.*

## 3. Code Block Best Practices


````markdown
<!-- Named code blocks with line numbers -->
```python {.numberLines startFrom="1"}
def process_data(data: list) -> dict:
    """Process input data and return results."""
    results = {}
    for item in data:
        results[item.id] = transform(item)
    return results
```

*See sub-skills for full details.*

## 4. Table Formatting


```markdown
<!-- Simple table -->
| Column 1 | Column 2 | Column 3 |
|----------|----------|----------|
| Data 1   | Data 2   | Data 3   |
| Data 4   | Data 5   | Data 6   |

<!-- Table with caption and reference -->
| Metric | Value | Unit |
|--------|-------|------|

*See sub-skills for full details.*

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