causal-graph自动从日志和记忆中提取实体、事件及其因果关系，构建动态知识图谱并支持查询与可视化。
Install via ClawdBot CLI:
clawdbot install weidadong2359/causal-graphGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
Automatically build causal graphs from commit logs, issue trackers, and documentation to visualize dependencies between features, bugs, and team actions. This helps identify root causes of delays and optimize workflows.
Extract events, entities, and causal relationships from research papers, lab notes, and conference proceedings to map scientific discoveries and their influences. This aids in literature reviews and hypothesis generation.
Analyze system logs, incident reports, and maintenance records to construct causal graphs that trace failures back to their sources. This speeds up troubleshooting and improves system reliability.
Process operational data, meeting minutes, and performance metrics to uncover causal links between decisions, market events, and outcomes. This supports strategic planning and efficiency improvements.
Offer the skill as a cloud-based service with tiered plans based on data volume and features like advanced visualization. Revenue comes from monthly or annual subscriptions from businesses and researchers.
Sell on-premise or custom-integrated licenses to large organizations for internal use, with support and training packages. This targets industries needing high security and customization.
Provide a free basic version for individual users or small teams, with paid upgrades for advanced analytics, LLM integration, and API access. This drives adoption and upsells.
💬 Integration Tip
Start with rule-based extraction for quick setup, then gradually integrate LLM components to improve accuracy without overwhelming resources.
Scored Apr 19, 2026
Control desktop applications on Windows — launch, close, focus, resize, move windows, simulate keyboard/mouse input, manage processes, control VSCode, read clipboard, and capture screen info. Use when the user wants to interact with any running program, switch windows, type text, press shortcuts, open files in VSCode, manage running processes, or get system display information.
Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.
Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.
Pragmatic coding standards for writing clean, maintainable code — naming, functions, structure, anti-patterns, and pre-edit safety checks. Use when writing new code, refactoring existing code, reviewing code quality, or establishing coding standards.
Claude Code integration for OpenClaw. This skill provides interfaces to: - Query Claude Code documentation from https://code.claude.com/docs - Manage subagents and coding tasks - Execute AI-assisted coding workflows - Access best practices and common workflows Use this skill when users want to: - Get help with coding tasks - Query Claude Code documentation - Manage AI-assisted development workflows - Execute complex programming tasks
Plan, draft, version, and refine written content with enforced versioning and quality audits.