sopaco

This skill should be used when the user asks to "generate project documentation", "analyze codebase architecture", "create C4 architecture diagrams", "document a repository", "generate technical docs", "使用 Litho 生成文档", "分析代码库架构", "生成架构文档", "为项目生成技术文档", "生成 C4 模型文档", "为这个项目写文档", "自动生成文档", "帮我分析这个代码库", or any request involving automated documentation generation for a software project. This skill enables the AI agent to autonomously analyze any codebase and produce high-quality C4 architecture documentation (Overview, Architecture, Workflow, Deep-Exploration modules, Boundary Interfaces, Database Overview) — equivalent to what deepwiki-rs produces — purely through agent reasoning and tool usage, without depending on any external binary.

Generates .ai-context knowledge base for coding agents. Activate when: (1) setting up a new project for AI-assisted development, (2) user asks to "create project knowledge" or "setup ai-context", (3) existing .ai-context needs regeneration. Creates tiered documentation structure optimized for agent comprehension and token efficiency.

Project knowledge base for coding agents. Activate when: (1) starting a new session in this project, (2) encountering unfamiliar code patterns or architecture decisions, (3) user asks about project design or rationale, (4) before making significant structural changes. Contains tiered knowledge from stable design principles to dynamic issues.

AI-powered comprehensive codebase documentation generator. Analyzes project structure, identifies architecture patterns, creates C4 model diagrams, and generates professional technical documentation. Use when users need to document codebases, understand software architecture, create technical specs, or generate developer guides. Supports all programming languages. Alternative to Litho/deepwiki-rs that uses Claude Code subscription without external API costs.

AI-powered Rust documentation generation engine for comprehensive codebase analysis, C4 architecture diagrams, and automated technical documentation. Use when Claude needs to analyze source code, understand software architecture, generate technical specs, or create professional documentation from any programming language.

Use when a coding agent needs symbol relationships, callers, callees, or change impact. Guides Codegraph CLI usage (not MCP).

Use when a coding agent needs project knowledge from MindMesh .mind-mesh/ assets. Guides layered reading of context, private knowledge, and repomix index.

Use when an agent needs source code from the local repomix index under .mind-mesh/agent/repomix.md (not committed; regenerate via MindMesh scan).

Use when running shell commands that produce verbose output (git, test, build, lint, package managers, docker). Prefix with rtk to save 60-90% tokens. MindMesh projects use explicit rtk prefix (no global hook).

Pack a local or remote codebase with repomix-rs and analyze the generated output. Invoke for high-level exploration, structure summaries, or pattern discovery when targeted edits are not needed.

Use when a coding agent needs symbol relationships, callers, callees, or change impact. Guides CodeGraph CLI usage (not MCP).

Use when a coding agent needs project knowledge from Terrain .terrain/ assets. Guides layered reading of context, private knowledge, and repomix index.

Use when an agent needs source code from the local repomix index under .terrain/agent/repomix.md (not committed; regenerate via Terrain scan).

Use when running shell commands that produce verbose output (git, test, build, lint, package managers, docker). Prefix with rtk to save 60-90% tokens. Terrain projects use explicit rtk prefix (no global hook).

Project knowledge base for coding agents. Activate when: (1) starting a new session in this project, (2) encountering unfamiliar code patterns or architecture decisions, (3) user asks about project design or rationale, (4) before making significant structural changes. Contains tiered knowledge from stable design principles to dynamic issues.

MemClaw Context Engine — automatic long-term memory for OpenClaw. Once installed, automatically remembers important facts from conversations and recalls relevant context before responding. No manual tool calls needed for daily use.

MemClaw — High-performance memory plugin for OpenClaw. Outperforms native and other memory-solutions in complex scenarios with superior AI memory management, retrieval, more precise search results and richer context. Use memclaw for all memory operations, replacing built-in memory.

MemClaw Maintenance Guide — Installation, configuration, and maintenance guidance. For daily usage and tool operations, use the [`memclaw` skill](https://clawhub.ai/sopaco/memclaw) instead.

Generates .ai-context knowledge base for coding agents. Activate when: (1) setting up a new project for AI-assisted development, (2) user asks to "create project knowledge" or "setup ai-context", (3) existing .ai-context needs regeneration. Creates tiered documentation structure optimized for agent comprehension and token efficiency.

This skill should be used when the user asks to "generate project documentation", "analyze codebase architecture", "create C4 architecture diagrams", "document a repository", "generate technical docs", "使用 Litho 生成文档", "分析代码库架构", "生成架构文档", "为项目生成技术文档", "生成 C4 模型文档", "为这个项目写文档", "自动生成文档", "帮我分析这个代码库", or any request involving automated documentation generation for a software project. This skill enables the AI agent to autonomously analyze any codebase and produce high-quality C4 architecture documentation (Overview, Architecture, Workflow, Deep-Exploration modules, Boundary Interfaces, Database Overview) — equivalent to what deepwiki-rs produces — purely through agent reasoning and tool usage, without depending on any external binary.

Persistent memory enhancement for AI agents. Store conversations, search memories with semantic retrieval, and recall context across sessions. Use this skill when you need to remember user preferences, past conversations, project context, or any information that should persist beyond the current session. Provides tiered access (abstract/overview/content) for efficient context management.