Can it fix broken imports?

Yes, it identifies 'phantom imports'—references to files or functions that don't exist—and updates them to the correct file paths and function bindings based on your project's actual structure.

Does it handle missing function parameters?

Yes, when a function call is missing required arguments, the skill analyzes surrounding context, request bodies, or user inputs to provide sensible default values or correct variable mappings.

How does the fix process work?

It uses a three-iteration loop: it validates the code, requests specific fix suggestions for errors via camouf_suggest_fix, applies the edits, and then revalidates to ensure no new issues were introduced.

What kind of errors does Camouf Fix Mismatches catch?

It catches errors traditional linters miss, such as AI-generated code referencing non-existent imports, incorrect function signatures, or field name mismatches against shared types.

Camouf Fix Mismatches

Name: Camouf Fix Mismatches
Author: TheEmilz

byTheEmilz

•

开发者工具

Resolves architectural violations and signature drift in AI-generated code by applying precise, context-aware fixes and contract alignment.

Camouf Fix Mismatches is a specialized Claude Code skill designed to bridge the gap between AI-generated code and your project's strict architectural requirements. It automatically detects and repairs common AI errors that traditional linters often miss, such as phantom imports, function signature drift, and contract violations. By leveraging the camouf toolset, it suggests and implements precise corrections—like renaming drifted functions, correcting field names, or adding missing parameters—and follows a rigorous validate-fix-revalidate workflow to ensure your generated code remains consistent with canonical type definitions and project structures.

主要功能

01Automatic correction of function signature drift and parameter mismatches

02Iterative validate-fix-revalidate loop for guaranteed code integrity

031 GitHub stars

04Context-aware parameter suggestions for missing function arguments

05Resolution of phantom imports by mapping to actual module paths

06Alignment of AI-generated code with shared canonical type definitions

使用场景

01Standardizing API call structures across a codebase to prevent runtime contract failures

02Syncing AI-generated feature implementations with complex legacy type definitions

03Fixing 'phantom imports' where AI models hallucinate non-existent utility paths

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add theemilz/camouf fix-mismatches

For use in Claude.ai and ChatGPT

Download Skill