point

Trace a software problem to its local cause and apply the smallest fix.

2|Updated Jul 11, 2026
One-click install
npx skills add https://github.com/nmnmcc/skills --skill point
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: point
Source: https://github.com/nmnmcc/skills/tree/main/skills/point
Command: npx skills add https://github.com/nmnmcc/skills --skill point

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Point helps you make one small software change by tracing a result back to its cause and choosing the simplest proof that the change worked. It is designed for local bugs, focused features, configuration tweaks, small refactors, and failing tests where the right answer can be verified close to the source.

Core Features & Use Cases

  • Cause-and-effect debugging: Works backward from the observed outcome to the smallest part that can produce it.
  • Minimal, proof-driven changes: Encourages the smallest complete fix and the most direct check, so you do not expand scope unnecessarily.
  • Local verification: Fits issues where a nearby regression test or behavior check can confirm the result.
  • Use case: A test fails because one function returns the wrong value; Point helps isolate the local cause, make the smallest safe change, and prove the fix with a direct check.

Quick Start

Use the point skill to identify the local cause of this bug, make the smallest change, and verify it with the most direct test.

Frequently Asked Questions about point

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

FAQPage Schema
How do I debug a failing regression test by tracing its local cause?

Debug a failing regression test by working backward from the observed outcome to isolate the smallest part producing it, making a minimal code change, and verifying the fix directly against the intended behavior.

What is the best way to fix a local software bug without expanding the scope?

Fix a local software bug by tracing the result back to its cause and applying the smallest complete change needed, then proving the fix worked using the most direct behavior check available nearby.

How do I verify a configuration update or small refactor directly against nearby regressions?

Verify a configuration update or refactor by applying the smallest safe change and running a local behavior check or nearby regression test to confirm the result without expanding scope unnecessarily.

When should I use cause-and-effect debugging for a focused software change?

Use cause-and-effect debugging for a focused software change when the relevant cause and proof are nearby, such as local bugs, configuration tweaks, or failing tests where the right answer can be verified close to the source.

Can I use this approach for large-scale refactoring and complex feature development?

This approach is not suited for large-scale refactoring or complex features. It requires cause-and-effect reasoning and minimal scope changes designed for focused bugs and local configuration updates where direct verification is possible.

Why does my software change pass its direct check but fail a regression test?

A software change may pass its direct check but fail a regression test if the minimal scope fix did not account for nearby regressions, requiring you to verify the change against the intended behavior and adjacent test cases.