prompt-engineering-example-1-multi-stage-document-processor
Sub-skill of prompt-engineering: Example 1: Multi-Stage Document Processor (+1).
Best use case
prompt-engineering-example-1-multi-stage-document-processor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of prompt-engineering: Example 1: Multi-Stage Document Processor (+1).
Teams using prompt-engineering-example-1-multi-stage-document-processor 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/example-1-multi-stage-document-processor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How prompt-engineering-example-1-multi-stage-document-processor Compares
| Feature / Agent | prompt-engineering-example-1-multi-stage-document-processor | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of prompt-engineering: Example 1: Multi-Stage Document Processor (+1).
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
# Example 1: Multi-Stage Document Processor (+1)
## Example 1: Multi-Stage Document Processor
```python
from typing import Dict, List, Optional
from dataclasses import dataclass
@dataclass
class ProcessingResult:
summary: str
key_points: List[str]
metrics: List[Dict]
risks: List[Dict]
*See sub-skills for full details.*
## Example 2: Interactive Prompt Builder
```python
class InteractivePromptBuilder:
"""
Build prompts interactively with guided configuration.
"""
def __init__(self):
self.components = {
"role": None,
"context": None,
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