How does the execution protocol work?

It follows a four-phase structure: Frame (setup), Research (investigation), Plan (strategy), and Execute (implementation and validation).

What is the 150% Forge Rule?

The 150% rule ensures every new skill includes its 100% core functionality plus a 50% enhancement layer focusing on risk mitigation, quality checkpoints, and future evolution.

When should I use Meta Skill Forge 150?

Use this skill when you encounter a novel problem type, a combination of existing skills isn't enough, or a repeated pattern needs formalization into a reusable protocol.

Does this skill replace my current Claude skills?

No, it acts as a creator and orchestrator. It checks existing skills first and only forges a new one if a genuine gap is identified.

Meta Skill Forge 150

Name: Meta Skill Forge 150
Author: MykhailoDmytriakha

byMykhailoDmytriakha

生产力与工作流

Automates the creation of custom, high-performance Claude skills when existing tools cannot address complex or novel tasks.

关于

Meta Skill Forge 150 is a sophisticated meta-protocol designed to identify gaps in existing AI capabilities and 'forge' new, reusable skill sets. By analyzing unique task requirements and integrating specific risk mitigations, it builds structured workflows following a rigorous Frame-Research-Plan-Execute cycle. This skill ensures that when Claude encounters a novel problem type, it doesn't just solve it once but creates a robust, documented, and 150% optimized protocol—including core logic plus enhancements for evolution and quality—to handle similar challenges in the future.

主要功能

Structured Frame-Research-Plan-Execute framework construction
Built-in quality assurance checkpoints and success metrics
Risk integration with likelihood and impact mitigation strategies
Standardized skill declaration for immediate reusability
0 GitHub stars
Comprehensive gap analysis of existing skill libraries

使用场景

Scaling AI capabilities when standard skills lack necessary safety gates or depth
Developing specialized protocols for niche technical domains not covered by default tools
Formalizing a complex, repeated development pattern into a reusable AI workflow

关于

主要功能

Structured Frame-Research-Plan-Execute framework construction
Built-in quality assurance checkpoints and success metrics
Risk integration with likelihood and impact mitigation strategies
Standardized skill declaration for immediate reusability
0 GitHub stars
Comprehensive gap analysis of existing skill libraries

使用场景

Scaling AI capabilities when standard skills lack necessary safety gates or depth
Developing specialized protocols for niche technical domains not covered by default tools
Formalizing a complex, repeated development pattern into a reusable AI workflow