Can it detect if I am about to reinvent the wheel?

Yes, the skill specifically searches your local codebase for existing functions and modules to prevent duplicate implementations of the same logic.

What is the minimum confidence score required to proceed?

The skill requires a minimum confidence score of 0.90 (90%) to proceed with an implementation, ensuring high-quality and accurate output.

Does it verify external libraries and APIs?

Yes, it uses web-fetching tools and documentation MCPs to check official docs and open-source references to confirm API compatibility before coding.

How does this skill save on token usage?

By spending a few hundred tokens on a pre-implementation check, it prevents the waste of thousands of tokens on incorrect, redundant, or hallucinated coding attempts.

What happens if the confidence score is below 70%?

If the score is below 0.70, the skill will stop the process entirely and request more context or clarification from the user.

Confidence Check

Name: Confidence Check
Author: swcstudiospace

byswcstudiospace

0•

Productivity & Workflow

Enforces a pre-implementation readiness assessment to prevent redundant code and ensure architectural compliance before tasks begin.

The Confidence Check skill acts as a strategic gatekeeper for your development workflow, ensuring that Claude only proceeds with tasks when there is a 90% or higher confidence score. By systematically auditing your codebase for duplicate functionality, verifying architectural alignment with your specific tech stack, and validating implementation details against official documentation and open-source references, it eliminates wasted effort. This skill is particularly valuable in large codebases where 'reinventing the wheel' or deviating from established patterns is a common risk, ultimately saving significant token costs by preventing wrong-direction execution.

Key Features

01Architectural compliance verification against existing project standards

02Open-source reference discovery to identify proven implementation patterns

030 GitHub stars

04Automated duplicate functionality search using grep and glob patterns

05Official documentation validation via Context7 and WebFetch integrations

06Quantitative scoring system that halts execution if confidence falls below 90%

Use Cases

01Preventing the creation of redundant utility functions in large-scale repositories

02Verifying root cause identification before beginning complex bug fixes or refactors

03Ensuring new features strictly adhere to established tech stacks like Supabase or pytest

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add swcstudiospace/superggc-toolkit confidence-check

For use in Claude.ai and ChatGPT

Download Skill