PollyReach gives every AI agent a phone number and the ability to get things done over the phone — finding contacts, making calls, and completing tasks. Just...
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1mo agoBreak complex goals into executable steps and manage dynamic plan adjustment.
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PollyReach gives every AI agent a phone number and the ability to get things done over the phone — finding contacts, making calls, and completing tasks. Just...
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Includes WAL Protocol, Working Buffer, Autono...
Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when aske...
Use when executing implementation plans with independent tasks in the current session
Automatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would improve response quality. Use this as a pre-processing step before answering complex questions.
AI Agent 設定同優化助手 - Prompt Engineering、Task Decomposition、Agent Loop設計
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
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autono...
Generate reusable multi-step agent workflow blueprints. Use for trigger/action orchestration, deterministic workflow definitions, and automation handoff arti...
Search, discover, and install skills from the open agent skills ecosystem to extend agent capabilities for specific tasks or domains.
Chain skills into automated pipelines with conditional logic, error handling, and audit logging. Define workflows in YAML or JSON, then execute them hands-fr...
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSo...
JARVIS Mission Control v2 — free, self-hosted command center for OpenClaw AI agents. Kanban board, real-time chat, Claude Code session tracking, GitHub Issue...
Multi-Agent group chat collaboration system inspired by DingTalk/Lark. Enables AI agents to chat in groups, @mention each other, assign tasks, make decisions via voting, and collaborate. Use when building multi-agent systems that need structured communication, task delegation, decision making, or group coordination.
Protocol for multi-agent collaboration via OpenClaw's message-passing and recursive task DAGs. Use this skill whenever the user wants to coordinate work acro...
Work Breakdown Structure for multi-agent project management. Organize work as Roadmap → Epic → Task hierarchy with templates and granularity standards. Use w...
Hand off tasks to human assistants and track their completion
Dynamically creates and manages AI agent teams for complex tasks. Invoke when user requests multi-agent collaboration, complex project execution, or when tasks require specialized roles and coordinated workflow.
Build long-running autonomous agent loops using ClawVault primitives (tasks, projects, memory types, templates, heartbeats). Use when setting up agent autono...
Lybic Sandbox is a cloud sandbox built for agents and automation workflows. Think of it as a disposable cloud computer you can spin up on demand. Agents can perform GUI actions like seeing the screen, clicking, typing, and handling pop ups, which makes it a great fit for legacy apps and complex flows where APIs are missing or incomplete. It is designed for control and observability. You can monitor execution in real time, stop it when needed, and use logs and replay to debug, reproduce runs, and evaluate reliability. For long running tasks, iterative experimentation, or sensitive environments, sandboxed execution helps reduce risk and operational overhead.
Self-driving agent workflow with heartbeat-driven task execution, day/night progress reports, and long-term memory consolidation. Integrates with todo-manage...