Claude Skill
tripleyak/SkillForge
SkillForge 是生成顶尖 Claude 代码技能的终极元技能。使用这个基于 Python 的工具创建强大的 AI 编程助手。
概览
仓库信息
安装这个 Skill
git clone https://github.com/tripleyak/SkillForge.git /tmp/skillforgeRegistry 信息
项目简介
SkillForge 是一个元技能,旨在生成顶尖的 Claude 代码技能,是创建高质量 AI 编程助手的基础工具。
The ultimate meta-skill for generating best-in-class Claude Code skills.
要点
- 生成顶尖的 Claude 代码技能
- 用于创建编程助手的元技能
- 基于 Python 实现
使用场景
- 开发 Claude 代码技能
- 创建 AI 编程助手
- 增强 Claude 的编码能力
README 摘要
# SkillForge v5.2 **From Art to Engineering: A Manifesto for AI Skill Creation.**  --- ## The Problem The central challenge in AI development isn't a lack of ideas, but the inconsistent process of turning them into robust, reliable skills. Current methods are often ad-hoc, brittle, and difficult to scale—resembling more of an art form than a predictable engineering discipline.  --- ## The Solution **Quality is built in, not bolted on.** SkillForge is a methodology where rigor is integrated into every step of the creation process, from initial conception to final validation. It's a fundamental shift from reactive testing to proactive engineering.  --- ## What's New in v5.2 v5.2 adds the Context Skill Advisor: proactive, evidence-backed skill suggestions with user-controlled Proactivity Levels. ### Context Skill Advisor - Proactive by default with install-time levels: `off`, `quiet`, `balanced`, and `active` - `balanced` is the default level - Supports global config plus project-level overrides - Uses Session Context, Project Context, and Personal Context by default - Uses Targeted Content Access: search broadly, then read only narrow relevant excerpts - Runs from Advisor Checkpoints and Scheduled Background Advising - Writes suggestions to an Advisory Queue and learns from Advisor State feedback - Requires confirmation before invoking suggested skills ### Advisor Commands ```bash # Configure proactive advising python scripts/install_skillforge.py # Run a checkpoint from the current agent session python scripts/context_advisor.py checkpoint --cwd "$PWD" --text "<brief current context>" # Run scheduled ad