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Z-M-Huang AI Skills

GitHub ↗

Browse published AI skills maintained by Z-M-Huang. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

15

Repository stars across indexed skills

196

Repository forks

62

Average repository stars per indexed skill

13

Repository stars may repeat across skills from the same repository.

15 skills

Browse skills

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-consolidate

Z-M-Huang

Two-phase cleanup - normalize long filenames, then consolidate semantic duplicates using AI

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.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.