ontology-clawra

🧠 ontology-clawra v5.1 - Local Ontology Reasoning & Learning Engine **USE THIS SKILL WHENEVER** you need structured reasoning, knowledge graph management, logical inference, or learning from interactions. This is your go-to tool for: - Building and querying ontology knowledge graphs (concepts, entities, relationships) - Performing confidence-based reasoning with evidence tracking - Recording insights and patterns from completed tasks - Local memory search and knowledge retrieval **Key Use Cases:** - Before making complex decisions: "Let me use ontology-clawra to reason about this" - After completing tasks: "Record this learning to ontology-clawra" - Building domain expertise: "Create concepts for [domain] in ontology-clawra" - Analyzing patterns: "Query ontology-clawra for similar past cases" **Core Capabilities:** ✅ Local ontology storage in `~/.openclaw/skills/ontology-clawra/memory/` ✅ Confidence calculation (CONFIRMED/ASSUMED/SPECULATIVE) ✅ Learning from user confirmations ✅ Local memory search (no ne

Complete guide to using and extending Hermes Agent — CLI usage, setup, configuration, spawning additional agents, gateway platforms, skills, voice, tools, profiles, and a concise contributor reference. Load this skill when helping users configure Hermes, troubleshoot issues, spawn agent instances, or make code contributions.

Git push to HTTPS remote using token authentication — avoids SSH setup, works in CI/automated environments.

从 GitHub 历史中彻底清除敏感文件的完整流程 — 使用 git filter-repo + force push，适用于清理意外提交的个人文件、工作文件等

清理 GitHub 历史和 ClawHub 中意外泄露的个人/工作文件

Configure WhatsApp and Telegram messaging platforms on Hermes Agent

Configure Telegram bot messaging channel for Hermes Agent, especially useful when behind Chinese firewall with SOCKS proxy

Hermes Agent WhatsApp integration troubleshooting — common issues and fixes

MiniMax API 中国版 vs 国际版的区别和避坑指南

Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks

ClawHub skill publishing guide - avoid common pitfalls when publishing skills to ClawHub. Covers YAML format requirements, git LFS issues, version management, and step-by-step publish workflow.

Clawra记忆文件管理 - 正确读写MEMORY.md和USER.md，避免常见陷阱

Generate Clawra selfies using MiniMax image-01 model with Ada Wong style and time-aware scenes, deliver via Telegram Bot API

OpenClaw官方文档助手。当需要进行任何配置时，先查询官方文档确保正确操作。

Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.

Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json. Use when the user mentions free AI, OpenRouter, model switching, rate limits, or wants to reduce AI costs.

Use the MemOS Local memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferences or history, or when you need to answer from prior context. When auto-recall returns nothing (long or unclear user query), generate your own short search query and call memory_search. Use task_summary when you need full task context, skill_get for experience guides, and memory_timeline to expand around a memory hit.

MiniMax 图像生成 - 使用 image-01 模型，支持文生图和图生图。通过 MiniMax 中国区 API（api.minimaxi.com）。

Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.

Generate images via SiliconFlow API (OpenAI compatible). Uses Qwen/Qwen-Image model.

Backup and restore OpenClaw data. Use when user asks to create backups, set up automatic backup schedules, restore from backup, or manage backup rotation. Handles ~/.openclaw directory archiving with proper exclusions.

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when (1) a command, tool, API, or operation fails; (2) the user corrects you or rejects your work; (3) you realize your knowledge is outdated or incorrect; (4) you discover a better approach; (5) the user explicitly installs or references the skill for the current task.

Clawra的核心智能引擎 - 三层记忆架构本体论系统。真正参与推理的本体论引擎，而非什么都记的笔记系统。

Use when executing implementation plans with independent tasks. Dispatches fresh delegate_task per task with two-stage review (spec compliance then code quality).

capability-evolver v2.0 - 轻量级自我进化引擎（纯Python，无外部依赖）。 **核心能力**： - 错误自动分析（从日志中提取失败模式） - 自我修复（生成修复代码并验证） - 规则自动学习（从成功案例中抽取规则） - 主动优化（识别低效模式并改进） **设计原则**： - 纯Python实现（无Node.js/git/EvoMap依赖） - 零外部依赖（仅用Python标准库） - 安全优先（所有修改需确认后执行） - 可追溯（每次变更记录到事件日志）

ClawHub skill publishing guide - avoid common pitfalls when publishing skills to ClawHub. Covers YAML format requirements, git LFS issues, version management, and step-by-step publish workflow.

MiniMax 图像生成 - 使用 image-01 模型，支持文生图和图生图。通过 MiniMax 中国区 API（api.minimaxi.com）。

Palantir本体论实践版本 v3.2 - 结构化知识图谱+规则引擎+科学推理方法论。用于推理计算、选型分析、知识库查询。**推理结果必须展示详细推理过程**：包含用户需求、每一步的规则依据ID、具体的规则内容（不是名称）、计算公式、参数来源、置信度标注。使用scripts/enhanced_display.py进行可视化展示。触发关键词：推理、选型、计算、分析、知识库、本体、燃气调压、燃气报警器。

Generate images via SiliconFlow API (OpenAI compatible). Uses Qwen/Qwen-Image model.

Multi-scanner security gate. TRIGGER when: user mentions installing, adding, or reviewing a skill to Claude Code, OpenClaw, or any other AI agent. Detects malicious code, vulnerabilities, and suspicious patterns.