cancel-loop
Cancel the active Ralph implementation loop. Use when you want to stop the iterative process.
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。
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。
Cancel the active Ralph implementation loop. Use when you want to stop the iterative process.
Gather and clarify requirements before autonomous pipeline execution. Interactive phase for user input.
Deep code/plan review for architecture, subtle bugs, and test quality. Use after sonnet review for thorough analysis.
Start the multi-AI pipeline with TDD-driven ralph loop. Plan → Review → Implement (loop until tests pass + reviews approve).
Implement code using sonnet model with full main context access
Fast code/plan review for quality, security, and tests. Use for quick reviews before deeper analysis.
Final code/plan review using Codex. Use as the last review step after sonnet and opus.
Show memory system status and tracked projects. Use to check memory system health and list projects.
Repair common issues with the memory system. Cleans up orphan temp files, stale sessions, lock files, and old logs.
Two-phase cleanup - normalize long filenames, then consolidate semantic duplicates using AI
AI-powered validation of knowledge notes against current codebase. Detects stale content by comparing documented knowledge with actual files.
Fix issues detected by mem-audit. Supports dry-run mode to preview changes before applying them.
Search the Claude Code knowledge base for errors, solutions, decisions, and patterns. Use this to find information from your memory system.
Explicitly save knowledge, patterns, decisions, or learnings to the knowledge base. Use when you want to document something for future reference.
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。