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Found 11,924 Skills
Multi-agent routing, channel bindings, and tool policies
Claude Code 环境一键同步工具。从 GitHub 仓库同步所有配置到本地：output-styles 风格、CLAUDE.md 全局提示词、MCP 服务器配置、Agent 配置、Plugin 配置。适用于多设备统一环境、换电脑恢复、团队共享配置等场景。当用户需要从 GitHub 仓库同步 Claude Code/OpenClaw 环境配置时使用此 skill。
Comprehensive code review with parallel specialist sub-agents. Analyzes requirements traceability, code quality, security, performance, accessibility, test coverage, and technical debt. Produces detailed findings and calls /qa-gate for final gate decision.
Before starting a task or taking a critical step, surface and verify the assumptions the agent is making. Checks 4 types - technical (libraries, APIs), data (files, formats), business logic (rules, scope), and user intent (what the user actually wants). Triggers on ambiguous requests, multi-step tasks, or whenever "are you sure", "check first", "don't assume" appears.
Use when generating multiple curriculum-aligned concept files in parallel (5+ concepts) - researches curriculum, creates concept list, spawns parallel generation agents, orchestrates review loop until all pass
Use when creating, modifying, or refactoring Claude Code skills that require structured multi-agent review and quality validation
검증문서 생성 필수 규칙 - 모든 Chapter Generator 에이전트 공통
Review and modernize Agent OS product documentation to ensure quantifiable value propositions and workspace-hub standards compliance.
Analyze codebase structure, dependencies, changes, and cross-agent handoffs. Use when user asks about project structure, where code is located, how files connect, what changed, how to resume work, or before starting any coding task.
Create and maintain an Obsidian-style graph memory bank in a code repository: small atomic Markdown nodes with YAML frontmatter, cross-links, explicit backlinks, and release/entity-driven coverage for fast AI-agent context retrieval. Use when asked to build/upgrade a 'memory bank', 'graph memory', 'obsidian docs', 'суперсвязанную графовую документацию', or when you need structured docs under docs/ that let an AI agent pull minimal but precise context.
Give agents persistent structural memory of a codebase — navigate dependencies, track public APIs, and understand why connections exist without re-reading the whole repo.
Systematic documentation audit and maintenance. This skill should be used when documentation may be stale, missing, or misorganized — after feature work, refactors, dependency upgrades, or as a periodic health check. It prescribes folder structure for docs/ and manual/, dispatches haiku subagents for codebase/doc scanning, and routes doc creation to specialized agents (reference-builder, technical-writer, learning-guide) with docs-architect as quality gate.