Search Results for "parallel-execution" | AgentCC

codex-cli

OpenAI Codex CLI orchestration for AI-assisted development using gpt-5.3-codex model family. Model variants: gpt-5.3-codex (medium), gpt-5.3-codex-high, gpt-5.3-codex-xhigh. Capabilities: code generation, refactoring, automated editing, parallel task execution, session management, code review, architecture analysis, and MCP integration. Actions: analyze, implement, review, fix, refactor with Codex. Keywords: Codex CLI, gpt-5.3-codex, codex exec, code generation, refactoring, parallel execution, session resume, code review, second opinion, independent review, architecture validation, Context7 MCP. Use when: delegating complex code tasks to Codex, running multi-agent workflows, executing automated reviews, implementing features with AI assistance, resuming previous sessions, querying OpenAI documentation. Triggers: 'use codex', 'codex exec', 'run with codex', 'codex resume', 'implement with codex', 'review with codex', 'codex docs'.

CI Pipeline Optimizer

Optimize CI test pipelines through intelligent test splitting, parallelization, caching strategies, and selective test execution based on code changes.

ci-cdpipelineoptimization+4

Test Suite Performance

Optimizing test suite execution speed with parallelization, test splitting, caching, selective test execution, and test impact analysis.

test-performanceparallelizationsplitting+2

Selenium Grid Parallel Testing

Parallel test execution with Selenium Grid including hub/node configuration, Docker-based grid, cross-browser testing, and session management.

selenium-gridparalleldocker+2

Concurrency Testing Patterns

Testing concurrent code including race condition detection, deadlock prevention, thread safety verification, and parallel execution correctness.

concurrencyrace-conditiondeadlock+2

GitHub Actions CI Testing

Setting up and optimizing test pipelines in GitHub Actions with caching, parallel execution, matrix builds, and test result reporting.

github-actionscipipeline+2

Test Isolation Strategies

Test isolation techniques including database cleanup, transaction rollback, parallel test execution, and shared resource management.

isolationparallelcleanup+2

parallel-execution-optimizer

Identify and execute independent operations in parallel for 3-5x speedup. Auto-analyzes task dependencies, groups into batches, launches parallel Task() calls. Applies to /optimize (5 checks), /ship pre-flight (5 checks), /implement (task batching), /prototype (N screens). Auto-triggers when detecting multiple independent operations in a phase.

claude-orchestrator

Spawn and manage parallel Claude workers for software development. Use for parallel feature development, multi-agent coordination, or autonomous project execution.

orchestrator

Plan and coordinate multi-agent bead execution. Use when starting a new epic, assigning tracks to agents, or monitoring parallel work progress.

playwright

Playwright testing best practices for Next.js applications (formerly test-playwright). This skill should be used when writing, reviewing, or debugging E2E tests with Playwright. Triggers on tasks involving test selectors, flaky tests, authentication state, API mocking, hydration testing, parallel execution, CI configuration, or debugging test failures.

decompose

Decompose a phase plan into atomic beads and sub-beads. Use when breaking down a phase into tasks, when the user mentions "decompose" or "break down", when creating beads from a plan, or when structuring work for parallel execution.

dag-task-scheduler

Wave-based parallel scheduling for DAG execution. Manages execution order, resource allocation, and parallelism constraints. Activate on 'schedule dag', 'execution waves', 'parallel scheduling', 'task queue', 'resource allocation'. NOT for building DAGs (use dag-graph-builder) or actual execution (use dag-parallel-executor).

dagorchestrationscheduling+2

hecras_compute_remote

Distributed HEC-RAS execution across remote workers (PsExec, Docker, SSH, cloud). Handles worker initialization, queue scheduling, and result aggregation. Use when setting up remote execution, distributed computation, cloud workflows, scaling HEC-RAS across machines, parallel processing on multiple computers, Windows remote execution, container-based execution, session-based remote execution, PsExec configuration, Docker worker setup, or multi-machine HEC-RAS workflows. Triggers: remote execution, distributed execution, PsExec, Docker worker, SSH execution, cloud execution, parallel remote, multi-machine, session_id, remote worker, worker initialization, queue scheduling, network share, container execution.

dag-result-aggregator

Combines and synthesizes outputs from parallel DAG branches. Handles merge strategies, conflict resolution, and result formatting. Activate on 'aggregate results', 'combine outputs', 'merge branches', 'synthesize results', 'fan-in'. NOT for execution (use dag-parallel-executor) or scheduling (use dag-task-scheduler).

dagorchestrationaggregation+2

hecras_compute_plans

Executes HEC-RAS plans using RasCmdr.compute_plan(), handles parallel execution across multiple plans, manages destination folders, and monitors real-time progress with callbacks. Use when running HEC-RAS simulations, computing plans, executing models, parallel workflows, setting up distributed computation, batch processing, scenario analysis, or monitoring execution progress in real-time. Triggers: execute, run, compute, HEC-RAS, plan, simulation, parallel, callback, batch, scenario, destination folder, worker, monitoring, progress, real-time.

dag-executor

End-to-end DAG execution orchestrator that decomposes arbitrary tasks into agent graphs and executes them in parallel. The intelligence layer that makes DAG Framework operational.

dagorchestrationtask-decomposition+2

dag-parallel-executor

Executes DAG waves with controlled parallelism using the Task tool. Manages concurrent agent spawning, resource limits, and execution coordination. Activate on 'execute dag', 'parallel execution', 'concurrent tasks', 'run workflow', 'spawn agents'. NOT for scheduling (use dag-task-scheduler) or building DAGs (use dag-graph-builder).

dagorchestrationparallel-execution+2

dag-context-bridger

Manages context passing between DAG nodes and spawned agents. Handles context summarization, selective forwarding, and token budget optimization. Activate on 'bridge context', 'pass context', 'summarize context', 'context management', 'agent context'. NOT for execution (use dag-parallel-executor) or aggregation (use dag-result-aggregator).

dagorchestrationcontext+2

hecras_plan_execution

Decision support for HEC-RAS execution strategy. Analyzes project inspector output to recommend which plans to run, execution mode, and optimal parameters. Provides structured execution plans with dependency ordering, prerequisite validation, and resource-aware parameter recommendations. Use when planning execution strategy, selecting execution mode, determining plan order, validating prerequisites, or optimizing parallel execution parameters. Triggers: plan execution, execution strategy, which plans to run, execution order, parallel vs sequential, compute_plan, compute_parallel, mode selection, prerequisites, dependencies, runnable plans, blocked plans, execution plan, batch strategy.

dag-graph-builder

Parses complex problems into DAG (Directed Acyclic Graph) execution structures. Decomposes tasks into nodes with dependencies, identifies parallelization opportunities, and creates optimal execution plans. Activate on 'build dag', 'create workflow graph', 'decompose task', 'execution graph', 'task graph'. NOT for simple linear tasks or when an existing DAG structure is provided.

dagorchestrationgraph+2

rlm-orchestrator

Implement RLM-style (Recursive Language Model) orchestration for complex tasks. This skill should be used when facing large context requirements, multi-part tasks that would benefit from parallel execution, or when context rot is a concern. Automatically decomposes tasks, spawns parallel subagents, aggregates results, and iterates until completion. Inspired by the RLM research paper (arXiv:2512.24601).

orchestrationsubagentscontext-management+3

execute

Main entry point for hierarchical task execution. Orchestrates layer-by-layer implementation of PRD tasks with parallel worktree execution.

core-dev

Development guide for the lemline-core module. Use when working with workflow execution (orchestrators, processors), node tree navigation (Node, NodePosition), task states (TaskState, WorkflowCommand, WorkflowEvent), expression evaluation (JQ, scope), error handling (TryTask, retry, catch), parallel execution (Fork), or DSL parsing. Covers the step-by-step execution model, exception-driven control flow, and stateless architecture.

parallel-code-review

This skill should be used when performing comprehensive code reviews using multiple specialized review agents in parallel. It provides patterns for concurrent execution, decision tracking to prevent redundancy, and consolidated reporting. Use when needing thorough review coverage from multiple perspectives (security, architecture, performance) or when reviewing large changesets.

git-worktree-setup

melodic-software

Set up Git worktrees for agent parallelization with isolated environments. Use when setting up parallel agent execution, creating isolated environments per agent, or enabling concurrent development workflows.

task-based-multiagent

melodic-software

Set up task-based multi-agent systems with shared task files. Use when setting up parallel agent execution, designing worktree isolation patterns, or implementing task file coordination.

multi-agent-observability

melodic-software

Build observability interfaces for multi-agent systems. Use when monitoring multi-agent execution, tracking agent metrics, implementing logging for parallel agents, or debugging agent workflows.

check-your-plan

Validates AI implementation plans before execution. Use when user says "check your plan", "validate this plan", "review the plan", or "is this plan good". Launches 5 parallel validators + devil's advocate.

Claude Code X - Autonomous Execution Subagent

ShunsukeHayashi

Execute Claude Code autonomously in the background for well-defined tasks, enabling parallel execution of up to 5 concurrent sessions while the user continues other work.

Agent Execution with Worktree

ShunsukeHayashi

Execute Miyabi Agents (Coordinator, CodeGen, Review, Deployment, PR, Issue) with Git Worktree isolation for parallel processing. Use when running agents, processing Issues, or managing concurrent tasks.

tmux

Control interactive terminal sessions via tmux. Use when tasks need persistent REPLs, parallel CLI agents, or any process requiring a TTY that simple shell execution cannot handle.

web-frameworks

Hainamchung Agent Assistant Web Frameworks

Build modern full-stack web applications with Next.js (App Router, Server Components, RSC, PPR, SSR, SSG, ISR), Turborepo (monorepo management, task pipelines, remote caching, parallel execution), and RemixIcon (3,100+ SVG icons in outlined/filled styles). Use when creating React applications, implementing server-side rendering, setting up monorepos with multiple packages, optimizing build performance and caching strategies, adding icon libraries, managing shared dependencies, or working with TypeScript full-stack projects.

workstream-coordinator

Expert workstream coordinator managing multiple concurrent tasks, tracking progress, detecting conflicts and stalls, analyzing dependencies, and ensuring smooth parallel execution. Activates when coordinating workstreams, tracking progress, checking status, or managing concurrent work.

gitea-coordinator

Orchestrate multiple worker agents to implement groomed tasks in Gitea repositories. Use when multiple ready tasks need implementation, when you want autonomous multi-task execution, or when coordinating batch development work with Gitea. Keywords: coordinator, orchestrator, multi-task, parallel, workers, batch, autonomous, gitea, tea.

agile-coordinator

Orchestrate multiple worker agents to implement groomed tasks. Use when multiple ready tasks need implementation, when you want autonomous multi-task execution, or when coordinating batch development work. Keywords: coordinator, orchestrator, multi-task, parallel, workers, batch, autonomous.

coordination

Multi-agent coordination for parallel plan execution with the coordinate and coord_output tools.

google-gemini-api

Integrate Gemini API with correct current SDK (@google/genai v1.27+, NOT deprecated @google/generative-ai). Supports text generation, multimodal (images/video/audio/PDFs), function calling, and thinking mode. 1M input tokens. Use when: integrating Gemini API, implementing multimodal AI, using thinking mode for reasoning, function calling with parallel execution, streaming responses, deploying to Cloudflare Workers, building chat, or troubleshooting SDK deprecation, context window, model not found, function calling, or multimodal format errors. Keywords: gemini api, @google/genai, gemini-2.5-pro, gemini-2.5-flash, gemini-2.5-flash-lite, gemini-3-pro-preview, multimodal gemini, thinking mode, google ai, genai sdk, function calling gemini, streaming gemini, gemini vision, gemini video, gemini audio, gemini pdf, system instructions, multi-turn chat, DEPRECATED @google/generative-ai, gemini context window, gemini models 2025, gemini 1m tokens, gemini tool use, parallel function calling, compositional function calling, gemini 3

assessor

Jamie-BitFlight

Assess a plugin and create refactoring task files for parallel agent execution. Use when you need to analyze a plugin structure, score its quality, and generate a phased refactoring plan with design map and implementation tasks.

git-worktrees

Creates isolated working directories using git worktrees for parallel plan execution. Enables multiple plans to run simultaneously without file conflicts. Use when running concurrent development tasks.

implement-refactor

Jamie-BitFlight

Use when a refactoring task file exists from /assessor and tasks need execution. Reads task files, resolves dependencies, delegates to specialist agents (SKILL_SPLIT, AGENT_OPTIMIZE, DOC_IMPROVE), and tracks completion with parallel orchestration

gitbutler-multi-agent

This skill should be used when coordinating multiple AI agents working concurrently, handling agent handoffs, transferring commits between agents, or when "multi-agent", "concurrent agents", "parallel agents", "agent collaboration", or "parallel execution" are mentioned with GitButler. Provides virtual branch patterns for parallel execution without coordination overhead.

task-orchestrator

USE WHEN: planning complex multi-step tasks, organizing work with dependencies, identifying parallelization opportunities, breaking down large features into atomic tasks. DO NOT USE WHEN: single simple tasks, tasks without dependencies, or when user just wants immediate execution without planning. For complex orchestration, trigger deep thinking with "think harder" or "ultrathink" to map comprehensive dependency graphs.

AILANG Sprint Executor

Execute approved sprint plans with test-driven development, continuous linting, progress tracking, and pause points. Supports parallel milestone execution via Task sub-agents. Use when user says "execute sprint", "start sprint", or wants to implement an approved sprint plan.

test-executor

Execute test suites with proper configuration, parallel execution, and detailed reporting. Use when running unit tests, integration tests, or full test suites.

mcp-orchestration

Intelligent orchestration and coordination of multiple MCP tools to complete complex development tasks, supporting execution modes such as serial, parallel, conditional, and looping

Agent-Swarm Spawner

Prepares isolated sub-workspaces for parallel agent execution. Copies context and generates specific mission instructions for "Worker" agents.

codex-subagents

Spawn background subagents for parallel or long-running tasks. Use when you need research threads, context isolation, or detached execution.