coc-preferences-csharp-user-corrections-3

Extract recurring user corrections into reusable guidance rules for software engineering workflows.

171|10|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/fmflurry/settings-opencode --skill coc-preferences-csharp-user-corrections-3
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: coc-preferences-csharp-user-corrections-3
Source: https://github.com/fmflurry/settings-opencode/tree/main/.claude/skills/coc-preferences-csharp-user-corrections-3
Command: npx skills add https://github.com/fmflurry/settings-opencode --skill coc-preferences-csharp-user-corrections-3

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This pattern helps teams capture recurring user corrections as concrete, reusable guidance rules that can be applied across code decisions and tooling.

Core Features & Use Cases

  • Extract corrections from user feedback and formalize them as explicit rules.
  • Apply rules to current work, IDE configurations, and downstream decisions to maintain consistency.
  • Validate outputs against updated expectations and propagate changes to related touchpoints.

Quick Start

Provide a concrete user correction and translate it into a reusable rule that updates guidance.

Frequently Asked Questions about coc-preferences-csharp-user-corrections-3

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

FAQPage Schema
How do I turn recurring user corrections into reusable software engineering rules?

To turn user corrections into reusable rules, you extract recurring feedback from software engineering contexts and formalize it as explicit guidance. This codification process translates repeated corrections into concrete rules that can be applied across code decisions and IDE tooling.

How do I apply extracted guidance rules to IDE configurations and downstream code decisions?

You apply extracted guidance rules by propagating the formalized corrections across current work and IDE configurations. This ensures consistency by validating outputs against updated expectations and automatically applying the rules to downstream software engineering decisions.

What is the workflow for capturing user corrections as formal guidance rules?

The workflow for capturing user corrections involves a repeatable process of extraction, rule application, re-validation, and documentation capture. This formalizes user feedback into explicit rules and propagates changes to related touchpoints to maintain consistency.

Can I use this rule extraction pattern for continuous learning in software engineering tooling?

Yes, you can use this pattern for continuous learning in software engineering tooling. It transforms repeated user corrections into formal rules, propagating them across decisions and IDE configurations to continuously maintain consistency as new feedback is captured.

When should I formalize user corrections into explicit rules instead of handling them individually?

You should formalize user corrections into explicit rules when the same feedback recurs repeatedly. Codifying these corrections into reusable guidance prevents duplication and ensures automated consistency across code decisions and tooling configurations.

How do I validate outputs against updated expectations after applying new guidance rules?

To validate outputs against updated expectations, you re-validate the modified work after applying the newly extracted rules. This step in the workflow ensures that downstream decisions and IDE configurations align with the formalized user corrections before propagating changes.