claude-code-skills and claude-night-market
These are **complements** — the first provides foundational lifecycle coverage (bootstrap, audit, documentation) while the second adds specialized workflows (git, code review, architecture patterns) and multi-LLM delegation, enabling users to combine both suites for comprehensive development tooling.
About claude-code-skills
levnikolaevich/claude-code-skills
Great Claude Code plugin suite — 6 installable plugins covering the full delivery lifecycle. Project bootstrap, documentation generation, codebase audits (security, quality, architecture, tests), Agile pipeline with multi-model AI review and quality gates, performance optimization, and GitHub community workflows.
Based on the README, here's a technical deep dive: The suite provides 129 composable skills distributed across 7 modular plugins that operate as Claude Code native tools via marketplace installation, each with independent functionality but sharing a common `/shared` resource directory and CLI skill naming convention (`ln-XXX` format for easy discovery). Key capabilities include hash-verified file editing via **hex-line-mcp** (content hash per line prevents stale-context corruption), **hex-graph-mcp** for AST-driven codebase indexing (SQLite graph with cycle/clone detection), and **hex-ssh-mcp** for token-efficient remote editing—all bundled MCP servers integrate with optional external services (Linear for issue tracking, Context7 for library docs, Ref for standards). Multi-model AI review delegates parallel code reviews to Codex and Gemini agents with fallback orchestration, while quality gates and
About claude-night-market
athola/claude-night-market
17 production-ready Claude Code plugins: git workflows, code review, spec-driven development, architecture patterns, resource optimization, and multi-LLM delegation. 130 skills, 103 commands, 43 agents.
Organized as a four-layer dependency hierarchy, the 19 plugins use Claude Code's hook system (PreToolUse gates) for governance—enforcing TDD, blocking unsafe operations, and auto-escalating high-risk tasks to human review. State persists across sessions via task lists and GitHub Discussions, while `egregore` orchestrates autonomous agents with parallel worktree isolation, agent specialization, and watchdog-based crash recovery.
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