SkillForge addresses the inconsistent, art-like nature of AI skill creation by introducing a rigorous, engineering-driven methodology. It targets developers building Claude Code skills, aiming to produce robust, reliable, and evolution-aware AI skills through an autonomous, multi-phase process that emphasizes proactive quality assurance.

How It Works

SkillForge employs a 4-phase autonomous architecture: Deep Analysis, Specification, Generation, and Multi-Agent Synthesis. The Deep Analysis phase utilizes 11 distinct "thinking lenses" (e.g., Systems Thinking, First Principles, Security Implications) to systematically deconstruct problems before any code is written, ensuring a holistic evaluation. This structured insight then guides the autonomous generation phase. Finally, a panel of specialized agents (Code Quality, Evolution, Security, Script) must unanimously approve the generated skill, with a mandatory ≥7/10 score for longevity and extensibility from the Evolution Agent, transforming skill creation into a predictable engineering discipline.

Quick Start & Requirements

• Installation: Copy the skillforge directory into ~/.claude/skills/.
• Prerequisites: Claude Code CLI, Claude Opus 4.5 model access, Python 3.8+ (for validation scripts).
• Links: No official quick-start or documentation links are provided in the README.

Highlighted Details

• Phase 0: Universal Skill Triage: Automatically classifies input (prompts, errors, code, URLs) to route to USE_EXISTING, IMPROVE_EXISTING, CREATE_NEW, or COMPOSE actions.
• Universal Domain Matching: Enables skill discovery and routing based on conceptual understanding (e.g., "debugging") rather than exact skill names, enhancing usability across different skill sets.
• Evolution Mandate: Every skill must pass a minimum score of 7/10 from the dedicated Evolution Agent, ensuring long-term viability, extensibility, and future-readiness.
• Agentic Capabilities: Integrates a framework for agentic skills, supporting self-verification, error recovery, and state persistence.

Maintenance & Community

The provided README does not contain specific details regarding notable contributors, sponsorships, community channels (e.g., Discord, Slack), or a public roadmap.

Licensing & Compatibility

The project is released under the MIT License. This license is generally permissive for commercial use and integration into closed-source projects.

Limitations & Caveats

The README does not explicitly state any limitations, alpha status, known bugs, or deprecation warnings. The system's functionality is heavily dependent on access to the Claude Opus 4.5 model.