sopaco

Generate architecture-level agent context (no code细节) for Terrain projects.

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…

Terrain Ask — query knowledge via terrain CLI when Agent execution mode is ACP.

Use when the user wants to create any technical diagram - architecture, data flow, flowchart, sequence, agent/memory, or concept map - and export as SVG+PNG. Trigger on: "画图" "帮我画" "生成图" "做个图" "架构图" "流程图" "可视化一下" "出图" "generate diagram" "draw diagram"…

Use when a coding agent needs project source context from Terrain agent assets. Guides Repomix pack retrieval on agent/repomix.md without loading the full pack.

Terrain SDD standardized workflow — requirement clarification, technical design, code generation, and code review.

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…

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…

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…

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…

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…

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…

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,…

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…

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…

This skill should be used when the user wants to run backtests on the MNS (Market Neutral Strategist) contrarian investment strategy, analyze historical CNN Fear & Greed Index data, compare strategy performance against buy-and-hold, or tune strategy…

MNS (Money Never Sleeps) CLI operations manual for autonomous agents. Tracks an investment portfolio in a local ledger, reads market sentiment (CNN Fear & Greed Index), and generates target-weight rebalancing suggestions. Use when the user asks to view…

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…