发现最适合你需求的 AI 技能
Deterministic external-memory execution loop using rules/goal/plan/progress/notes/lessons with strict preflight, one-step execution, and measurable lesson quality gates.
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Zero-LLM feedback learning system for OpenClaw agents. Detects user feedback (emoji reactions, text signals like "переделай"/"круто"), logs events, discovers recurring patterns, auto-promotes rules, and generates weekly reports. Use when setting up agent self-improvement, configuring feedback detection, or building a learning pipeline. Supports Russian and English. No API keys needed — runs entirely on shell scripts and Python.
Automated GitHub PR code review with diff analysis, lint integration, and structured reports. Use when reviewing pull requests, checking for security issues, error handling gaps, test coverage, or code style problems. Supports Go, Python, and JavaScript/TypeScript. Requires `gh` CLI authenticated with repo access.
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Create, validate, and publish OpenClaw Skills through conversation. Use when user wants to create a new skill, build a ClawHub plugin, generate SKILL.md, or publish an agent skill. Supports guided mode for beginners and expert mode for developers. Includes automatic metadata validation and one-click fix.
AI-powered logistics knowledge management. Search shipment records, warehouse procedures, fleet data, and customs documentation with structured extraction.
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Email management skill for AI assistants with real-time notifications, smart categorization (7 categories), verification code extraction, and HTML content sanitization. Supports Gmail, QQ Mail, and NetEase.
Test, match, extract, replace, explain, and validate regular expressions from the command line. Includes a library of 25+ common patterns (email, URL, IP, phone, date, UUID, etc.) that can be used by name. Use when the user needs to build, debug, or test regex patterns, extract data with regex, do search-and-replace with backreferences, or understand what a regex does. Zero external dependencies.
NIH funding trend analysis to identify high-priority research areas
Lena lernt aus jeder Konversation und verbessert sich automatisch