portable-baseline-pattern-extraction

Extract and separate portable baseline config from machine-specific overrides in multi-environment projects

5 stars

Best use case

portable-baseline-pattern-extraction is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Extract and separate portable baseline config from machine-specific overrides in multi-environment projects

Teams using portable-baseline-pattern-extraction 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/portable-baseline-pattern-extraction/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/workspace-hub/learned/portable-baseline-pattern-extraction/SKILL.md"

Manual Installation

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

How portable-baseline-pattern-extraction Compares

Feature / Agentportable-baseline-pattern-extractionStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Extract and separate portable baseline config from machine-specific overrides in multi-environment projects

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

# Portable Baseline Pattern Extraction

When managing config across multiple machines, separate portable baseline settings (safe on any system) from machine-specific wiring (hooks, plugins, paths). Read all target files in parallel to identify shared patterns, then use canonical resolution methods (e.g., `uv python find` or `command -v`) as the single source of truth. Wire machine-specific hooks sequentially into the template to avoid conflicts. Verify with grep to ensure no execution calls leak into portable templates.

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