skill-forgelisted

Ultimate Claude Code skill creator and architect. Designs, scaffolds, builds, reviews, evolves, and publishes production-grade Claude Code skills following the Agent Skills open standard and 3-layer architecture (directive, orchestration, execution). Handles single-file skills, multi-skill orchestrators with sub-skills and subagents, MCP-enhanced workflows, and full skill ecosystems. Industry detection for skill domain. Triggers on: "create skill", "build skill", "new skill", "skill creator", "skill builder", "skill-forge", "design skill", "scaffold skill", "review skill", "improve skill", "publish skill", "skill architecture", "convert skill", "port skill", "multi-platform", "cross-platform", "eval skill", "test skill", "benchmark skill", "skill evals", "measure skill", "skill performance", "skill A/B test".
lovepixel-git/skill-forge · ★ 0 · AI & Automation · score 70

Install: claude install-skill lovepixel-git/skill-forge

# Skill Forge — Ultimate Claude Code Skill Creator Build production-grade Claude Code skills following the Agent Skills open standard, progressive disclosure architecture, and battle-tested patterns from high-performing skills like claude-seo and claude-ads. ## Quick Reference | Command | What it does | |---------|-------------| | `/skill-forge` | Interactive skill creation wizard | | `/skill-forge plan <domain>` | Architecture and design planning | | `/skill-forge build <name>` | Scaffold and build a skill from plan | | `/skill-forge review <path>` | Audit an existing skill for quality | | `/skill-forge evolve <path>` | Improve skill based on feedback/issues | | `/skill-forge eval <path>` | Run eval pipeline to test skill quality | | `/skill-forge benchmark <path>` | Benchmark skill with variance analysis | | `/skill-forge publish <path>` | Package and prepare for distribution | | `/skill-forge convert <path>` | Convert skill to Codex/Gemini/Antigravity/Cursor | ## Orchestration Logic ### Interactive Mode (`/skill-forge`) Walk the user through the full skill creation lifecycle: 1. **Discovery**: Ask about the domain, use cases, and target users 2. **Architecture**: Determine skill complexity tier and design structure 3. **Build**: Generate all files following chosen template 4. **Review**: Validate structure, frontmatter, triggers, and quality 5. **Eval**: Run eval pipeline with assertions and grading 6. **Benchmark**: Measure pass rate, time, tokens with variance ana