dotfile-hone

Detect and correct information loss and flow inefficiencies in pipeline DOT files.

330|47|Updated Aug 30, 2020
One-click install
npx skills add https://github.com/harperreed/dotfiles --skill dotfile-hone
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dotfile-hone
Source: https://github.com/harperreed/dotfiles/tree/main/.claude/skills-archive/dot-file-hone
Command: npx skills add https://github.com/harperreed/dotfiles --skill dotfile-hone

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Dotfile-hone finds and fixes subtle pipeline inefficiencies and information loss that structural validation alone cannot detect, especially when prompts may have dropped domain rules from the original spec.

Core Features & Use Cases

  • Flow inefficiency detection: Identifies unnecessary serialization, missing selective joins, and false sequential dependencies in DOT graphs.
  • Reverse spec gap testing: Reconstructs a complete spec from the DOT file alone and compares it to the original to expose missing or degraded details.
  • Invariant embedding and verification: Embeds concrete core invariants (paths, fields, permissions, enums, immutability rules) into component prompts and re-verifies improvements.

Quick Start

Use the dotfile-hone skill after dotfile-audit when you have a pipeline DOT that already passes structural validation but you want to deeply verify fidelity to the original spec.

Frequently Asked Questions about dotfile-hone

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect information loss in pipeline DOT files?

To detect information loss in pipeline DOT files, run a reverse spec test that reconstructs the spec from the DOT graph alone and compares it against the original spec to expose missing or degraded domain rules.

What is reverse spec testing for DOT pipeline validation?

Reverse spec testing is a validation method that rebuilds a complete spec from the DOT file alone and compares it to the original, exposing missing details, flow inefficiencies, and false sequential dependencies structural validation cannot catch.

How do I embed prompt invariants into DOT pipeline components?

To embed prompt invariants, inject concrete core invariants like paths, fields, permissions, enums, and immutability rules directly into component prompts, then re-verify that the reverse spec captures those previously missing sections.

Do I need structural validation before checking DOT dependency graphs for inefficiencies?

Yes, you need structural validation to pass first. Deeply refining DOT dependency graphs for flow inefficiencies and prompt fidelity applies after audit stages, targeting subtle domain rule drops that basic structural checks miss.

Why does my DOT pipeline have unnecessary serialization after passing structural validation?

Your DOT pipeline has unnecessary serialization because structural validation does not detect flow inefficiencies. Comparing reverse-engineered requirements against the original spec identifies false sequential dependencies and missing selective joins.