parallel-file-processor-core-components
Sub-skill of parallel-file-processor: Core Components (+5).
Best use case
parallel-file-processor-core-components is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of parallel-file-processor: Core Components (+5).
Teams using parallel-file-processor-core-components 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/core-components/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How parallel-file-processor-core-components Compares
| Feature / Agent | parallel-file-processor-core-components | 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 parallel-file-processor: Core Components (+5).
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
# Core Components (+5)
## Core Components
```python
from dataclasses import dataclass, field
from pathlib import Path
from typing import (
List, Dict, Any, Callable, Optional, Generator, TypeVar, Generic
)
from enum import Enum
import logging
logger = logging.getLogger(__name__)
*See sub-skills for full details.*
## File Scanner
```python
import fnmatch
from typing import List, Optional, Set, Generator
from pathlib import Path
class FileScanner:
"""
Scan directories for files matching patterns.
Supports glob patterns, extension filtering, and size limits.
*See sub-skills for full details.*
## Parallel Processor
```python
import time
from concurrent.futures import (
ThreadPoolExecutor, ProcessPoolExecutor,
as_completed, Future
)
from typing import Callable, TypeVar, Generic, List
import asyncio
from functools import partial
*See sub-skills for full details.*
## File Processor
```python
class FileProcessor:
"""
High-level file processing with parallel execution.
Combines scanning, filtering, and parallel processing.
"""
def __init__(self,
scanner: FileScanner = None,
*See sub-skills for full details.*
## Progress Tracking
```python
from datetime import datetime, timedelta
import sys
class ProgressTracker:
"""Track and display processing progress."""
def __init__(self,
total: int,
description: str = "Processing",
*See sub-skills for full details.*
## Result Aggregator
```python
import json
class ResultAggregator:
"""Aggregate and export batch processing results."""
def __init__(self, batch_result: BatchResult):
self.batch_result = batch_result
def to_dataframe(self) -> pd.DataFrame:
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