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Thoroughness Scoring

rohitg00/pro-workflow

Makes Claude present every decision as a scored comparison: quick hack (T:3) versus proper solution (T:9), with manual versus AI-assisted time estimates shown side by side. The insight is simple but changes behavior: when the thorough option only adds 10 minutes with AI help instead of 3 hours manually, you stop choosing the shortcut. Includes a scope check system to catch unbounded work like "refactor all error handling" and force it into contained pieces you can actually finish. Best for feature work and refactoring where you'd normally take shortcuts because the right way seems expensive. Skip it for spikes and throwaway scripts where speed actually matters more than quality.

skills.sh installs: 166
GitHub stars: 2.9K
last updated: Jun 8, 2026

Install

$ npx -y skills add rohitg00/pro-workflow --skill thoroughness-scoring --agent claude-code

Installs into .claude/skills of the current project.

Files

Thoroughness Scoring

AI drops the cost of doing things right to near-zero. Stop picking the quick hack when the thorough option takes the same wall-clock time with AI assistance.

The Rating Scale

Every option gets a Thoroughness score (T:X/10):

Score	What It Means
T:10	All edge cases handled, full test coverage, docs updated, error messages helpful
T:9	Edge cases covered, tests pass, types solid, no shortcuts
T:8	Happy path + error paths, good tests, clean types
T:7	Happy path works, basic tests, no docs
T:5	Works for the demo, fragile, manual testing only
T:3	Quick hack, no tests, tech debt accruing
T:1	Copy-paste from Stack Overflow, untested, hope it works

How to Present Options

When presenting choices, follow this format every time:

1. Re-State Context

The user may have been away. Start with orientation:

PROJECT: my-app (branch: feat/rate-limiting)
TASK: Add rate limiting to the /api/upload endpoint

2. Rate Each Option

SKILL.md on GitHub

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Details

Repository: github.com/rohitg00/pro-workflow
Categories: Productivity & Planning, Automation & Workflows
First seen: Jun 11, 2026

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