搜索

PythonReactSEOPDF

Z-M-Huang AI Skills

GitHub ↗

浏览 Z-M-Huang 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

15

收录技能的仓库 Stars 合计

196

仓库 Forks

62

平均每个技能的仓库 Stars

13

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

15 个技能

全部技能

GitHub

cancel-loop

Z-M-Huang

Cancel the active Ralph implementation loop. Use when you want to stop the iterative process.

GitHub

user-story

Z-M-Huang

Gather and clarify requirements before autonomous pipeline execution. Interactive phase for user input.

GitHub

review-opus

Z-M-Huang

Deep code/plan review for architecture, subtle bugs, and test quality. Use after sonnet review for thorough analysis.

GitHub

multi-ai

Z-M-Huang

Start the multi-AI pipeline with TDD-driven ralph loop. Plan → Review → Implement (loop until tests pass + reviews approve).

GitHub

review-sonnet

Z-M-Huang

Fast code/plan review for quality, security, and tests. Use for quick reviews before deeper analysis.

GitHub

review-codex

Z-M-Huang

Final code/plan review using Codex. Use as the last review step after sonnet and opus.

GitHub

mem-status

Z-M-Huang

Show memory system status and tracked projects. Use to check memory system health and list projects.

GitHub

mem-repair

Z-M-Huang

Repair common issues with the memory system. Cleans up orphan temp files, stale sessions, lock files, and old logs.

GitHub

mem-validate

Z-M-Huang

AI-powered validation of knowledge notes against current codebase. Detects stale content by comparing documented knowledge with actual files.

GitHub

mem-fix

Z-M-Huang

Fix issues detected by mem-audit. Supports dry-run mode to preview changes before applying them.

GitHub

mem-search

Z-M-Huang

Search the Claude Code knowledge base for errors, solutions, decisions, and patterns. Use this to find information from your memory system.

GitHub

mem-save

Z-M-Huang

Explicitly save knowledge, patterns, decisions, or learnings to the knowledge base. Use when you want to document something for future reference.

GitHub

mem-audit

Z-M-Huang

Scan the knowledge base for structural issues like broken links, orphan notes, missing indexes, and optionally AI-powered content staleness detection.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。