'parallel' 검색 결과

Turn clear requirements into small implementation tasks with acceptance criteria, verification steps, dependencies, and estimated scope. Produce a written plan and ordered task list, with checkpoints and opportunities for parallel work identified before coding begins.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Breaking a large feature into implementable tasks
• Ordering work by dependencies
• Defining completion criteria and verification steps

Organize code changes into focused commits and manageable branches, prepare pull requests, and maintain release versions and changelogs. The skill also covers separate working directories for parallel work and checks before committing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Split mixed changes into focused commits
• Prepare branches and pull requests for review
• Separate parallel work with git worktrees

Coordinate multiple AI agents with agentic-flow to run tasks in parallel or through ordered stages. Configure shared memory, team structure, workload distribution, retries, and task reassignment, then monitor how the group performs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run API, interface, and test work in parallel
• Build a design-to-review workflow with ordered stages
• Share specifications and state across agents

Coordinates multiple AI agents with agentic-flow to run tasks in parallel or through dependent stages. It covers team communication structures, shared memory, workload balancing, failure recovery, and performance monitoring for complex workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Develop APIs, user interfaces, and tests in parallel
• Connect design, implementation, testing, and review stages
• Share API schemas across agents

Coordinates a named team of Codex workers with concrete responsibilities and shared progress records. It selects available collaboration tools, manages communication and separate working copies when needed, and handles integration, team archival, and cleanup after the work ends.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Splitting related implementation work across cooperating agents
• Investigating several aspects of a clearly defined problem
• Inspecting team progress and member responsibilities

Research many companies, people, or topics in parallel using the same required fields. The skill coordinates individual research tasks, combines results into a consistent structure, and reports coverage, failed inputs, and remaining gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching multiple companies using the same fields
• Screening many people or topics
• Combining independent findings into a consistent result set

Implement large parallel workloads in Java with Azure Batch. Manage groups of computing machines, organize jobs and tasks, inspect progress and output, adjust computing capacity, and schedule recurring jobs using SDK examples.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running many computing tasks in parallel
• Adjusting machine counts to match pending work
• Checking task progress, exit codes, and output

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

Guide a development brief through specification, dependent tickets, implementation, review, and verification. Coordinate parallel work while keeping human approval at key decisions and recording agreed vocabulary, business rules, and the reasons behind technical choices.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a development brief into a specification and tickets
• Coordinating parallel implementation across dependent tickets
• Approving acceptance criteria and testing boundaries

Helps configure and troubleshoot DeepSpeed for training large models across multiple devices. Covers memory optimization, parallel training, and DeepNVMe storage transfers, with examples for tuning data movement and configuring models that divide work among specialized components.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Configuring distributed training for large models
• Tuning tensor transfers to NVMe storage
• Setting up models with specialized expert components

Manage shell commands and AI agent tasks through a shared gbrain job queue. Track progress, steer agents, pause or resume work, and coordinate parallel tasks, with guidance for long operations, completion reporting, and reusable stage checkpoints.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run scripts as monitored background jobs
• Coordinate parallel research by AI agents
• Redirect, pause, or resume an agent task

Coordinate multiple Mastra Code workers to investigate and fix GitHub issues in parallel. Keep each issue in a separate working directory, track progress in reports, review changes, and manage pull requests, reviewer feedback, and automated checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate and fix several GitHub issues in parallel
• Find issue candidates based on contribution history
• Track progress and blockers for each issue

Write Workflow scripts that divide research, reviews, or migrations among agents. The reference explains parallel and staged processing, independent verification, failure handling, budgets, and resuming runs so the script has a clear execution structure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design a review workflow with independent verification
• Divide broad research among agents and combine findings
• Plan staged processing for a large migration

Apply the same operation across multiple files using parallel worker agents. The skill finds matching files, divides the work, and reports successes, failures, and skipped files, with a preview option before edits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add license headers across source files
• Convert JavaScript files to TypeScript
• Fix the same lint issue in multiple files

Delegate research, coding, and testing from Claude Code to opencode workers. Run independent tasks in parallel with separate Git working directories, combine findings, track token use, and compare solo execution with coordinated workers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegate a small task to one opencode worker
• Implement independent changes in parallel
• Review a diff from four perspectives

Reproduce chat errors, retries, parallel tool calls, and app creation in a running desktop application. Check how messages and cards appear, including interrupted replies, grouped steps, and error details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check error messages and retry progress
• Inspect text retained after an interrupted reply
• Review grouped parallel tool calls

Run batch processing, scientific simulations, and machine learning training on Google Kubernetes Engine. Configure parallel jobs, queues that manage resource access, and distributed computation, with guidance on scaling idle capacity down and recovering from interruptions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run data processing jobs in parallel
• Share computing resources through job queues
• Configure distributed simulations with MPI

Delegate coding, analysis, refactoring, or reviews from Claude Code to Codex CLI. The skill explains unattended execution, permission settings, output capture, parallel tasks, and independent checks of changed files and test results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegate implementation while retaining planning responsibility
• Get a second opinion on code changes
• Split independent tasks across separate git worktrees

Route code changes and SQL analysis to isolated Kortix work sessions with clear requirements and workspace details. Coordinate parallel investigations or independent pull request reviews, then summarize deliverables, verification results, and differences between findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegate feature implementation or bug fixes to a separate session
• Compare two agents' approaches to a refactor
• Combine findings from two independent pull request reviews

Coordinate development work by breaking tasks down, writing six-part Task Prompts, and managing P8 agent teams. This skill takes a technical lead role, directing parallel agents and their delivery without writing code itself.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Breaking development work into tasks for agents
• Coordinating three or more parallel agents
• Delegating team management to a technical lead agent

Stress-test ideas, strategies, and plans by breaking them into individual claims for parallel expert agents to challenge. Receive the strongest supporting case, surviving counterarguments, and findings ranked by severity with suggested ways to address weaknesses.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Challenge assumptions in a business strategy
• Find weaknesses in a software architecture proposal
• Prepare strong objections to a pricing decision

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Coordinate multiple coding agents through Superset in separate workspaces. Split work into bounded tasks, track dependencies and progress, send follow-ups, and collect structured results covering changed files, verification checks, blockers, and the order for combining work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Splitting independent coding tasks across agents
• Passing completed work to dependent tasks
• Monitoring workers on local or remote hosts