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- config parser skill
config parser skill
A lightweight Python utility to parse flat key-value text and .env style strings into dictionaries.
Free
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config parser skill
Example session with this skill installed
I have a raw string from a legacy system log: 'AppID: 902\nStatus: Active\nLoad: 0.85\n\n# Note: check later\nRegion: us-east-1'. Parse this into a dict using a colon separator.
- Read your context and instructions
- Compiled the config parser
I have parsed the provided log string using the colon separator. Empty lines and comment lines starting with # were ignored, and all keys and values have been trimmed of whitespace.
Parsed Configuration Data
| Key | Value |
|---|---|
AppID | 902 |
Status | Active |
Load | 0.85 |
Region | us-east-1 |
# Implementation using the parse_lines utility
from configs import parse_lines
raw_log = """
AppID: 902
Status: Active
Load: 0.85
# Note: check later
Region: us-east-1
"""
# Parsing with custom separator ':'
config_dict = parse_lines(raw_log, sep=":")
print(config_dict)
# Output: {'AppID': '902', 'Status': 'Active', 'Load': '0.85', 'Region': 'us-east-1'}
Next steps
- Convert numerical values like
AppIDandLoadtointorfloatusingint(config_dict['AppID']). - Map the
Statusvalue to your application's internal state machine or enum. - Use this dictionary to populate your application settings or environment context.
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About this skill
The problem
Pulling in heavy configuration libraries for flat key-value files is overkill, but writing manual split loops across multiple scripts leads to brittle, inconsistent parsing code.
What it does
- Converts flat newline-separated text into clean Python dictionaries.
- Handles whitespace trimming for both keys and values automatically.
- Supports custom separators like colons or pipes for header-style data.
- Filters out blank lines and comments to prevent ingestion errors.
- Ignores malformed lines without the separator to ensure script stability.
Frameworks & tools
Python 3.x, standard library workflows, and .env file formats.
Why this beats prompting it yourself
Hand-written regex or split logic often fails on edge cases like leading spaces or missing separators. This skill provides a standardized, tested implementation that ensures consistent data structures across your automation scripts.
Use cases
- Parsing .env files for local environment variables.
- Processing CLI tool outputs that return key=value pairs.
- Ingesting simple configuration headers from text files.
- Quick prototyping of config-driven scripts without external dependencies.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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