'multi-agent' 검색 결과

Reviews Cherry Studio code and documentation against product decisions, architecture rules, implementation checks, and conventions. It selects a review approach based on scope and available agents, then reports findings with guidance for fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing local changes or a branch
• Checking a pull request before merging
• Reviewing architecture documents and project skills

Set up Antigravity 2.0 Agent Manager alongside Antigravity IDE to coordinate parallel development agents. Assign roles and folder boundaries, review their changes in the editor, and use Git checkpoints to manage shared work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up Agent Manager alongside the IDE
• Assigning frontend, backend, and QA roles
• Separating editing scopes to avoid conflicts

Design AI agents that use tools, plan tasks, retain relevant context, and recover from failures. Choose execution patterns, permission boundaries, memory handling, and runtime limits, and assess whether coordinating multiple agents is justified for the task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing an execution loop for a tool-using agent
• Designing memory and recovery for long-running tasks
• Setting tool permissions, runtime limits, and cost caps

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Plan and build AI agents through selected stages of design, implementation, tool integration, memory, and evaluation. The workflow points to specialized skills for single agents, coordinated agent teams, and stateful workflows using CrewAI or LangGraph.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing an autonomous AI agent
• Building a team of agents with distinct roles
• Creating stateful workflows with LangGraph

Test how agent workflows recover from repeatable simulated failures, including tool timeouts, worker restarts, and lost memory. Produces a fault matrix, event timeline, and verdict showing whether state, safety boundaries, and retry budgets were preserved.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Test recovery from MCP or tool timeouts
• Verify checkpoint recovery after a worker restart
• Check outcomes when one parallel branch fails

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Organize feature development across multiple agents by dividing work, assigning one owner per file, and agreeing on interfaces before implementation. Provides strategies for shared files, branches, and integration so agents can build separate parts of the same system.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Dividing a large feature among multiple agents
• Assigning file ownership to avoid conflicting edits
• Agreeing on APIs before parallel implementation

Set up OpenMAIC and generate interactive classrooms with multiple AI agents. The skill guides hosted or local use, model configuration, and classroom generation, and also supports customizing the product or building with its SDK, a set of development tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trying classroom generation with the Live Demo
• Setting up and checking a local installation
• Generating a classroom from requirements and materials

Add controls to AI agents that use APIs, databases, and files. Use Python patterns for tool permissions, approval requirements, call limits, suspicious input checks, audit logs, and trust scores that guide delegation between agents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Restrict which tools an agent can call
• Check suspicious inputs before execution
• Require human approval for sensitive operations

Coordinate a small AI development team with planning, implementation, and optional independent testing roles. Adapt the process to the work’s complexity, prepare pull requests, and preserve decisions and next steps so later sessions can continue.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting development or taking over an existing project
• Coordinating implementation and independent testing
• Comparing perspectives on product or architecture decisions

Research stock and cryptocurrency strategies through historical testing, factor analysis, and options pricing. Analyze trading journals, extract rules from profitable trades, and generate reports comparing simulated results with actual trading outcomes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Testing strategies on historical market data
• Comparing predefined predictive factors
• Reviewing trading habits from broker CSV exports

Find relevant QwenPaw documentation and source files for questions about setup, configuration, skills, memory, and other features. It maps question keywords to likely file paths so the agent can read and verify the right material.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find documentation for installation or configuration questions
• Locate source files related to skills or memory
• Identify where to investigate errors or CLI behavior

Find the QwenPaw documentation and source files most relevant to a question. This skill maps topics such as installation, configuration, skills, and memory to likely reading paths, helping an agent focus its investigation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding installation and configuration references
• Locating documentation for skills and MCP
• Tracing memory and multi-agent behavior

Coordinate specialized agents in Claude Code to divide development and review tasks, pass findings between stages, and combine results into one report with prioritized recommendations and action items.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing code from security, performance, and quality perspectives
• Coordinating frontend, backend, and database work
• Combining specialist findings into a prioritized report

Coordinates specialist agents in Claude Code to work from product requirements through design, implementation, testing, deployment, and operations. Includes task queues, saved progress, parallel reviews, and recovery workflows for managing extended development work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning product requirements into development tasks
• Coordinating implementation, testing, and reviews
• Resuming extended work from saved progress

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Design systems where multiple AI agents share work, generate tool schemas that define tool inputs for Anthropic and OpenAI, and analyze execution logs. Outputs include role assignments, communication diagrams, and recommendations for addressing cost, latency, and failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing agent roles for research automation
• Choosing how multiple agents coordinate work
• Generating and validating tool schemas

Examine strategic decisions through a structured meeting of AI agents representing executive roles. Gather independent recommendations, challenge assumptions, summarize disagreements, and record approved decisions with action owners and deadlines after the founder reviews the proposal.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Evaluate market expansion from several executive perspectives
• Compare views on product direction or pricing
• Review hiring plans and organizational choices

Design Google Cloud systems where multiple AI agents process live audio, video, or text and respond in real time. Guides requirements discovery, architecture diagrams, infrastructure code, deployment instructions, and validation for technical guidance or safety monitoring workloads.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design real-time technical guidance using live audio and video
• Plan hazard detection and visual inspection from video streams
• Create cloud architecture diagrams and deployment instructions

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Research topics across multiple sources, cross-check findings, and verify source URLs before producing a report with confidence labels. Choose from quick lookups to iterative investigations that preserve findings, with community sources prioritized for questions about public reactions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare AI technology trends
• Map a market and its products
• Investigate community reactions

Apply over 240 reusable prompt templates to summarize content, extract insights, improve writing, review code, or analyze security threats. It reads each template directly and returns results in the format defined for that task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract ideas and insights from an article
• Create a concise five-sentence summary
• Improve writing or review code with a selected template

Compare options through a debate among agents given distinct expertise and positions for the topic. Choose a three-round discussion with a visible transcript and synthesis, or a one-round check that presents initial perspectives.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare technical options from several perspectives
• Review an API design with a quick perspective check
• Examine an important decision through structured debate