“coordination”的搜索结果

协调多个GitHub仓库之间的变更，统一依赖包版本、同步文档、执行集成测试并规范配置，由多个AI智能体分工处理相关任务。

• 统一多个仓库的依赖版本
• 更新使用共享库的项目
• 规范文档与CI配置

使用多个专业AI代理审查GitHub代码变更提案，整理安全、性能、设计、格式和无障碍问题，并可提出修复建议、发布审查结果。

• 检查身份验证变更的安全性
• 检查数据库变更的性能影响
• 审查界面易用性和格式

通过多个AI智能体协调GitHub软件发布，涵盖版本更新、变更记录、测试、构建和多环境分发，并支持分阶段部署、监控及出现问题时回退。

• 准备版本更新和发布文档
• 协调多个软件包的发布
• 发布前检查测试和安全性

管理多个AI代理的代码变更与历史，记录操作过程及成败结果，从已有记录中发现成功模式、查看失败经历，并为类似开发或部署任务提供建议。

• 管理多个AI代理的代码变更
• 根据历史结果规划部署步骤
• 查看类似合并任务的失败记录

实现多个AgentDB数据库的同步与管理，将语义相似度搜索与属性筛选结合，并配置搜索结果去重及分布式AI系统的运行方式。

• 在多个AgentDB数据库间共享记忆
• 按日期或分类筛选语义搜索结果
• 分别存储知识和对话

协助创建和改进GitHub Actions工作流，分析运行失败并管理发布。通过多个AI代理分担审查、测试和安全检查，自动化测试及运维工作。

• 按项目语言创建工作流
• 并行运行测试并改进缓存
• 调查运行失败并提出修复方案

Display a preset introduction to Oh My OpenCode through an Easter egg command. The message outlines the plugin’s agent coordination, code navigation, structural search, built-in search integrations, and compatibility with Claude Code configuration.

中文简介正在准备中。当前显示英语简介。

• Reading a brief introduction to Oh My OpenCode
• Trying the hidden command
• Reviewing the plugin features listed in its introduction

Inventory local skills within a requested scope, rank candidates against a task, and prepare a coordination plan showing their order and data flow. Project assignments help prioritize relevant skills without automatically launching agents or executing skills.

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• Inventory locally installed skills
• Compare skills suited to a task
• Plan a workflow using several skills

Helps contributors develop and fix Airflow’s Java SDK for JVM tasks. Explains public API boundaries, JAR packaging, Python coordination, communication schema updates, and the test commands used to validate changes.

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• Adding features or fixing bugs in the Java SDK
• Reviewing public API and internal implementation boundaries
• Investigating JAR discovery and JVM startup failures

Guides contributors through adding a new programming language to Airflow, covering SDK structure, runtime coordination, communication rules, executable packaging, tests, and the documentation and configuration changes needed for a pull request.

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• Adding support for a new programming language
• Choosing how Airflow launches a language runtime
• Implementing communication and executable bundles

Organize complex work for a team of AI agents by splitting tasks, defining dependencies, and documenting ownership and completion criteria. Provides strategies for tracking progress, spotting blockers, and redistributing work when workloads become uneven.

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• Splitting complex work among multiple AI agents
• Mapping dependencies and execution order
• Defining file ownership and acceptance criteria

Design long-running processes across services with Temporal, a system that preserves workflow progress. Covers separating coordination from external operations, handling retries and failures, and structuring workflows so they can resume after interruptions.

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• Designing order or booking processes across services
• Building approval flows with timeouts and escalation
• Planning recovery for distributed transactions

Guide changes and reviews for SGLang’s Scheduler, TokenizerManager, and ModelRunner classes. Keep initialization in small, replaceable helpers and separate computation from coordination so large classes retain clear responsibilities and explicit dependencies.

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• Reviewing changes to SGLang’s three large classes
• Splitting initialization into replaceable helpers
• Moving computation out of ModelRunner

Build incident response dashboards that bring affected systems, containment progress, indicators of compromise, and response timelines into one view. Help security teams coordinate active incidents and prepare operational reports and executive briefings.

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• Coordinating an active security incident
• Tracking affected systems and containment
• Reviewing response timelines after an incident

Build a ransomware response playbook for security monitoring teams, covering detection, containment, eradication, and recovery. Include log queries, decision trees, evidence collection, backup restoration, and incident reviews to prepare consistent procedures before an attack occurs.

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• Creating a standardized ransomware response playbook
• Documenting host isolation and recovery procedures
• Addressing coordination gaps found in tabletop exercises

Design collaborative AI teams with CrewAI by defining each agent’s role, goals, tasks, and expected results. Covers passing work between agents, manager-led coordination, memory settings, and execution planning for workflows such as research and writing.

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• Build a team that researches and writes articles
• Coordinate specialists through a manager agent
• Define agent roles and expected task outputs

Design AI agents that plan tasks, call tools, and retain useful information. Covers coordination between agents, evaluation, and debugging, with practical patterns for execution limits, error handling, and tracing what an agent does.

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• Designing an agent that plans and executes tasks
• Organizing tool definitions and selection
• Deciding what an agent should remember

Plan Table v9 state ownership across the table, framework state, and external atoms that hold values. Covers initial values, update callbacks, and reset behavior, helping coordinate individual state sections without conflicting owners.

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• Choosing where to manage pagination state
• Connecting external state to update callbacks
• Reviewing external atom ownership

Plan security programs for growing companies by estimating financial risk and prioritizing controls. Produce compliance roadmaps, budget justifications, incident response plans, vendor assessments, and board reports that connect security decisions to business impact.

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• Justify security budgets with estimated financial losses
• Plan SOC 2 or ISO 27001 compliance work
• Prepare incident coordination and communication plans

Integrate video and audio ads into websites, apps, and TV platforms with Google IMA SDK. Follow platform-specific guidance for client-side ad requests, playback coordination, error handling, and cleanup after ads finish.

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• Adding video ads to a website
• Integrating ads into mobile and TV apps
• Coordinating ad playback with main content

Create and audit the files and routines that guide coding agents across sessions. It organizes instructions, progress tracking, verification, scope boundaries, and handoffs, with scripts for setup, structural checks, and shareable assessment reports.

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• Creating AGENTS.md or CLAUDE.md and supporting files
• Preserving progress between agent sessions
• Defining checks required before work is marked complete

Investigate recurring problems by mapping feedback loops, the cycles through which effects influence their causes. Identify underlying structures, match known patterns, and assess where changes could help and what unintended effects they might produce.

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• Investigating recurring incidents
• Understanding coordination problems as teams grow
• Assessing unintended effects before changing a policy

Write and review launch prompts for agents working autonomously for hours or days. Define successful deliverables, excluded partial results, stopping rules, worker handoffs, and evidence-based review requirements so completion can be assessed against explicit criteria.

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• Turning vague requests into precise task briefs
• Defining stopping rules for long autonomous runs
• Specifying deliverables for parallel workers

Test polly's coordination of coding agents using a scripted mock language model and live command-line tools. Check startup, task dispatch, safety rules, parallel delegation, and whether real agents make appropriate orchestration decisions.

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• Reproducing polly orchestration bugs
• Checking safety rules with a mock language model
• Verifying delegation and cross-review with real agents