'coordination' 검색 결과

Build AI agents with Cline SDK using guidance on choosing APIs, adding custom tools, saving sessions, and handling live events. References also cover model providers, scheduled runs, multi-agent coordination, and production deployment.

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• Build an AI agent with custom tools
• Choose an API for persistent sessions
• Configure model providers and live event handling

Set up encrypted connections between devices with Tailscale and control access by user or device. The skill covers network routing, device name resolution, and self-hosting the coordination server with Headscale.

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• Replacing a traditional VPN with Tailscale
• Restricting server access by team or device
• Connecting remotely to internal networks

Put Codex CLI in a technical lead role that writes task prompts and manages P8 execution through the p9 protocol. The agent stays focused on coordination and only implements code when explicitly reassigned.

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• Assign a technical lead role in Codex CLI
• Write task prompts for P8 execution
• Keep coordination separate from code implementation

Design systems where multiple agents work with separate task information. Choose coordination structures, define handoffs and shared state, and plan parallel work while checking whether communication costs and failure risks justify using more than one agent.

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• Split large tasks across separate agent contexts
• Run independent research tasks in parallel
• Define handoffs between specialized agents

Plan and improve AI agent systems by managing the information models receive. This collection covers memory, agent coordination, tool design, context compression, evaluation, and the operating controls needed for reliable autonomous workflows.

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• Planning information management for a new AI agent
• Investigating failures in long agent conversations
• Designing agent memory and multi-agent coordination

Review an agent's saved context and unread coordination messages at the start of a task. Summarize relevant assignments, move handled messages aside, and prompt the agent to preserve lasting decisions and outcomes before finishing.

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• Resume work using context saved in a previous session
• Check new messages and assignments for an agent
• Preserve decisions and outcomes for the next session

Design an OpenRig agent team around a project goal. Create team and agent specifications, role guidance, and collaboration rules, then validate the setup and diagnose problems with startup instructions or agent coordination.

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• Designing an implementation and QA pair
• Creating a team with development and independent review
• Writing role guidance and team collaboration rules

Find API patterns and examples for coding agents with ADK, the Agent Development Kit. Covers tools, state, callbacks, multi-agent coordination, and graph workflows, with Python and Go references plus guidance on studying existing implementations.

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• Adding tools and callbacks to an ADK agent
• Implementing state management and agent coordination
• Designing branching and parallel graph workflows

Manage a project’s execution plan and lifecycle across multiple agents. Track task dependencies or repeated work cycles, identify tasks ready to start, handle pauses and completion, and prepare project status reports and final results.

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• Managing plans with task dependencies
• Tracking repeated work cycles
• Pausing and resuming projects

Set up a consistent local environment for developing ClawTeam, then validate changes with focused tests and real agent workflows. Includes scripts for connecting other projects to local skills and guidance for investigating coordination bugs.

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• Set up a consistent local development command
• Reproduce worker startup or messaging bugs
• Validate agent coordination after code changes

Adapt Squad agent coordination to the available Copilot interface. Detect supported tools, choose how to launch helper agents and collect results, and use file-based state for workflows that must work across interfaces.

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• Adapting agent coordination between CLI and VS Code
• Launching multiple helper agents in VS Code
• Managing shared state without the CLI-only SQL tool

Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration

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Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory

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Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

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15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.

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Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.

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Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory

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Guide for coordinating PM, Frontend, Backend, Mobile, and QA agents on complex projects via CLI. Use for manual step-by-step coordination and workflow guidance.

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Program management for multi-project coordination, portfolio governance, dependency tracking, benefits realization, charters, and steering-committee reporting. Use to stand up or run a program and escalate program status.

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Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration

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Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

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Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.