config parser skill

    1

    A lightweight Python utility to parse flat key-value text and .env style strings into dictionaries.

    Free

    2 installsSecurity scanned

    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    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

    KeyValue
    AppID902
    StatusActive
    Load0.85
    Regionus-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

    1. Convert numerical values like AppID and Load to int or float using int(config_dict['AppID']).
    2. Map the Status value to your application's internal state machine or enum.
    3. Use this dictionary to populate your application settings or environment context.

    Connects securely to your tools. The creator never sees your data.

    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.

    ~30 seconds
    1. 1

      Download the ZIP

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      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

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    Security scanned

    Verified clean 24 days ago

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    Listed24 days ago

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