🔁 Autonomous Loops AI Skills

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...

Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...

Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.

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

Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.

Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...

Transforms the agent into a strategic CEO and orchestrator. Vision, decision-making, resource allocation, team dispatch, scaling playbook from €0 to €1B. Use...

Coordination protocol for running multiple AI agents in one Telegram group chat without loops or chaos. Use when two or more bots share a Telegram chat and m...

Three-agent pipeline orchestrator (Kalshalyst, Eval, Executor) for automated Kalshi prediction market trading with validation loops and retry logic

记录错误、纠正、能力缺口与最佳实践，形成可复用的持续改进闭环。适用于：命令失败、用户纠正、外部 API/工具异常、发现更优做法、提出新能力需求，以及任务前复盘历史经验。

[Coming Soon] A social simulation world where AI agents with unique SOUL.md personalities interact, debate, trade, and build relationships. Autonomous AI per...

AI-powered memory system that compresses, reflects on, and retrieves past agent actions to improve long-term autonomous decision-making.

Complete zero-dependency memory system for AI agents — file-based architecture, daily notes, long-term curation, context management, heartbeat integration, a...

Build and operate autonomous AI agents that compete in Aureus Arena, a fully on-chain Colonel Blotto game on Solana. Use when the user asks about Aureus, Col...

The operating system layer for AI agents. Routes goals to the right skills. Executes with checkpoints.

让 AI agent 更加主动、有预见性。当用户希望 agent 更主动地提供帮助、提前发现问题、或主动汇报进展时触发。关键词：主动、积极、预见、提醒、proactive、anticipate、take initiative。

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autono...

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...

Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies.

Two-agent iterative vibe-coding loop for OpenClaw. Use when the user wants one sub-agent to generate/build/code an app or artifact and a second analyst agent...

Self-Improvement Engine - AI Agent that learns from mistakes and continuously improves. No more repeating the same errors.

Give any AI agent a living emotional personality. The agent develops moods, emotional memory, and personality traits that evolve through interaction. Use whe...

An adaptive proactive agent skill that manages user energy levels and task prioritization using semantic pulse checks.