Search Results for "parallel-execution" | AgentCC

agent-orchestrate

Multi-agent task orchestration for Claude Code. When given multiple tasks to execute, use this skill to spawn parallel worker agents through Sibyl's MetaOrchestrator instead of Claude Code's built-in Task tool. This enables true multi-process execution with budget controls, quality gates, and coordination.

dotnet-testing-advanced-tunit-fundamentals

Complete guide to getting started with the next-generation TUnit testing framework. Use when creating TUnit test projects or migrating from xUnit to TUnit. Covers Source Generator–driven test discovery, AOT compilation support, and fluent asynchronous assertions. Includes project creation, the [Test] attribute, lifecycle management, parallel control, and a syntax comparison with xUnit. Keywords: TUnit, tunit testing, source generator testing, AOT testing, next-generation testing framework, [Test], [Arguments], TUnit.Assertions, Assert.That, Before(Test), After(Test), NotInParallel, TUnit.Templates, Microsoft.Testing.Platform, TUnit vs xUnit, parallel execution

rune-tasks

Manage hierarchical task lists using the rune CLI tool. Create, update, and organize tasks with phases, subtasks, status tracking, task dependencies, and work streams for multi-agent parallel execution.

task-metadata

Generate and validate task metadata for Ralph parallel execution. Use when creating tasks.yaml v1 files, validating task dependencies, or checking mutex usage. Triggers on: create task metadata, validate tasks yaml, check task dependencies.

swarm-coordination

Multi-agent swarm coordination patterns. Orchestrates parallel agent execution, manages agent communication, handles task distribution, and coordinates results aggregation.

polars

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

merge-integrator

Merge task branches and resolve conflicts for Ralph parallel execution. Use when merging completed task branches or resolving git conflicts. Triggers on: merge branches, resolve conflict, integration merge.

dag-planner

Build and validate task DAGs for Ralph parallel execution. Use when planning execution order, detecting cycles, or explaining why tasks are blocked. Triggers on: plan dag, check dependencies, why is task blocked, execution order.

subagent-driven-development

Oimiragieo Agent Studio Subagent Driven Development

Execute plans via autonomous agents with two-stage review per task. Use for complex implementations requiring quality gates.

subagentsparallel-executiondispatch+2

parallel-safe-implementation

Guidelines for implementing tasks safely in parallel execution. Use when working on a task in Ralph parallel mode to avoid conflicts. Triggers on: implement task safely, parallel mode, avoid conflicts.

turborepo

High-performance monorepo build system with intelligent caching, task orchestration, and parallel execution for multi-package repositories and microservices.

distributed-task-orchestrator

Decompose complex tasks into parallel sub-agents. Use for multi-step operations, batch processing, or when user mentions "parallel", "agents", "orchestrate", "subtasks", or "concurrent". Supports simulated parallel execution and real Claude CLI sub-agent launching.

granary-orchestrate

Orchestrate sub-agents and coordinate multi-agent workflows with granary. Use when delegating tasks, spawning workers, or managing parallel execution.

Next.js + Turborepo

Full-stack web development with Next.js and Turborepo. Stack: Next.js 14+ (App Router, RSC, Server Actions, PPR, SSR, SSG, ISR), Turborepo (monorepo, pipelines, remote caching), RemixIcon (3100+ icons). Capabilities: server components, API routes, middleware, caching strategies, build optimization, monorepo management. Actions: create, build, deploy, optimize Next.js apps, set up monorepo, configure caching. Keywords: Next.js, App Router, Server Components, RSC, Server Actions, SSR, SSG, ISR, PPR, Turborepo, monorepo, remote cache, build pipeline, parallel execution, workspace, pnpm, icons. Use when: building Next.js apps, implementing SSR/SSG, setting up monorepos, optimizing build performance, configuring caching strategies, managing shared dependencies.

monorepo-ci-optimizer

patricio0312rev

Optimizes CI pipelines for monorepos by detecting affected packages/apps and running only necessary builds and tests. Includes Turborepo/Nx strategies, caching, and parallel execution. Use for "monorepo CI", "affected detection", "incremental builds", or "workspace optimization".

agent-creator

Create composable AI agent systems in NestJS projects following the "tools all the way down" architecture. Use this skill when users want to: (1) Create new AI agents with orchestrator/planner/executor/evaluator components, (2) Build agentic systems that can call other agents as tools, (3) Implement DAG-based planning with parallel execution, (4) Add database-backed state persistence for agent runs, (5) Create custom evaluators for quality assurance. Triggers on "create agent", "build agent", "agent system", "agentic", "orchestrator", "planner/executor pattern", or NestJS AI agent requests.

pytest-advanced

Advanced pytest patterns including fixtures, markers, parametrization, and parallel execution. Use when implementing test infrastructure, organizing test suites, writing fixtures, or running tests with coverage. Covers pytest-cov, pytest-asyncio, pytest-xdist, pytest-mock.

cargo-nextest

Next-generation test runner for Rust with parallel execution, advanced filtering, and CI integration. Use when running tests, configuring test execution, setting up CI pipelines, or optimizing test performance. Trigger terms: nextest, test runner, parallel tests, test filtering, test performance, flaky tests, CI testing.

symfony-phpunit-bridge

Utilities for testing with enhanced PHPUnit features including deprecation reporting, function mocking for time/DNS/class-existence tests, parallel test execution, and multi-version PHPUnit compatibility.

symfony-phpunit-bridge

Utilities for testing with enhanced PHPUnit features including deprecation reporting, function mocking for time/DNS/class-existence tests, parallel test execution, and multi-version PHPUnit compatibility.

fd-file-finding

Fast file finding using fd command-line tool with smart defaults, gitignore awareness, and parallel execution. Use when searching for files by name, extension, or pattern across directories.

Timeout Prevention

Prevent request timeouts in Claude Code sessions by chunking long operations, implementing progress checkpoints, using background processes, and optimizing tool usage patterns. Use when performing bulk operations, processing large datasets, running long-running commands, downloading multiple files, or executing tasks that exceed 2-minute timeout limits. Implements strategies like task decomposition, incremental processing, parallel execution, checkpoint-resume patterns, and efficient resource management to ensure reliable completion of complex workflows.

executing-parallel-phase

Use when orchestrating parallel phases in plan execution - creates isolated worktrees for concurrent task execution, installs dependencies, spawns parallel subagents, verifies completion, stacks branches linearly, and cleans up (mandatory for ALL parallel phases including N=1)

parallel-builder

Divide-and-conquer implementation from specs/plans. Decomposes a reference document into independent tasks, assigns each to a builder agent, executes in parallel waves respecting dependencies, then integrates results. Use when you have a spec, PRD, plan, or large feature to implement quickly with parallel execution.

model-council

This skill should be used when the user asks for "model council", "multi-model", "compare models", "ask multiple AIs", "consensus across models", "run on different models", or wants to get solutions from multiple AI providers (Claude, GPT, Gemini, Grok) and compare results. Orchestrates parallel execution across AI models/CLIs and synthesizes the best answer.

jest

Jest is a comprehensive JavaScript testing framework built by Meta, designed for zero-configuration testing of JavaScript and TypeScript applications. It provides a complete ecosystem for unit testing, integration testing, and snapshot testing with built-in code coverage, mocking capabilities, and parallel test execution. Jest works seamlessly with React, Node.js, Angular, Vue, and virtually any JavaScript project, making it the most widely adopted testing framework in the ecosystem.

Google Gemini API

Complete guide for Google Gemini API using the CORRECT current SDK (@google/genai v1.27+, NOT the deprecated @google/generative-ai). Covers text generation, multimodal inputs (text + images + video + audio + PDFs), function calling, thinking mode, streaming, and system instructions with accurate 2025 model information (Gemini 2.5 Pro/Flash/Flash-Lite with 1M input tokens, NOT 2M). Use when: integrating Gemini API, implementing multimodal AI applications, using thinking mode for complex reasoning, function calling with parallel execution, streaming responses, deploying to Cloudflare Workers, building chat applications, or encountering SDK deprecation warnings, context window errors, model not found errors, function calling failures, or multimodal format errors. Keywords: gemini api, @google/genai, gemini-2.5-pro, gemini-2.5-flash, gemini-2.5-flash-lite, 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

plan-creator

Creates dependency-based task execution plans with parallel orchestration. Use when planning complex tasks, breaking down work into steps, plan creation, three or more tasks with dependencies, unclear execution order, or when you need to identify parallelizable work.

Plan MD Executor

Read today's `<MM_DD>/codex/plan/plan_<topic>.md`, break Tasks/Dependencies/DoD/Gates into an executable sequence (including parallel groups, checkpoints, evidence requirements, and rollback points), and persist it as `<MM_DD>/codex/exec/exec_<topic>.md`. Suitable for requests like “generate execution steps from a plan.md / split into parallel tasks / give me an execution order and checkpoints.”

polars

Polars is a blazingly fast DataFrame library written in Rust with a Python API. Learn eager and lazy evaluation, expressions, groupby, joins, and how Polars outperforms pandas for large datasets through parallel execution.

kanban-batch

Code Kanban task batch orchestrator. Reads local Kanban todo tasks, analyzes priorities and dependencies, generates an execution plan, and then executes tasks in parallel. Used to automate processing of large numbers of pending tasks; data is kept local and is not exposed to public GitHub.

phase-task-verification

Shared branch creation and verification logic for sequential and parallel task execution - handles git operations, HEAD verification, and MODE-specific behavior

batch-processor

Process multiple documents in bulk with parallel execution. Use when a user asks to batch process files, convert many documents at once, run parallel file operations, bulk rename, bulk transform, or process a directory of files concurrently. Covers parallel execution, error handling, and progress tracking.

parallel-decompose

Decompose PRDs and Tech Specs into parallel-executable tasks with contracts, prompts, and dependency graphs. Use when breaking down a PRD for multi-agent execution.

parallel-execution

Execute multiple Claude Code agents in parallel using the cpo CLI tool. Use when running parallel tasks, monitoring execution, or understanding the execution workflow.

parallel-agents

Use when parallelizing development, running multiple agents, splitting work across agents, coordinating parallel tasks, or decomposing PRDs for concurrent execution. Breaks work into independent agent workstreams.

parallel-prompt-generator

Generate agent-ready prompts from existing task specification files. Use when regenerating prompts after editing tasks, updating prompt templates, or preparing tasks for cpo execution.

Voyager

E2E testing specialist. Playwright/Cypress/WebdriverIO configuration, Page Object design, authentication flow validation, parallel execution, visual regression, accessibility testing, and CI integration. Validate entire user journeys. The E2E-specialized edition of Radar. Use when you need E2E test creation.

orchestrating-test-execution

Coordinate parallel test execution across multiple environments and frameworks. Use when performing specialized testing. Trigger with phrases like "orchestrate tests", "run parallel tests", or "coordinate test execution".

processing-api-batches

Process bulk API requests efficiently with batching, throttling, and parallel execution. Use when processing bulk API operations efficiently. Trigger with phrases like "process bulk requests", "batch API calls", or "handle batch operations".

subagent-orchestrator

Senior Multi-Agent Systems (MAS) Architect for 2026. Specialized in Model Context Protocol (MCP) orchestration, Agent-to-Agent (A2A) communication, and recursive delegation frameworks. Expert in managing complex task handoffs, shared memory state, and parallel subagent execution for high-autonomy engineering missions.

repo-defining-workflows

Workflow pattern standards for creating multi-agent orchestrations including YAML frontmatter (name, description, tags, status, agents, parameters), execution phases (sequential/parallel/conditional), agent coordination patterns, and Gherkin success criteria. Essential for defining reusable, validated workflow processes.

worktree-execution

Git worktree management for isolated parallel prompt execution. Use when creating isolated environments for prompt comparison or managing worktree lifecycle. Provides creation, cleanup, and orphan detection scripts.

world-runtime

Firecracker microVM + Morph Infinibranch WorldRuntime for parallel verse execution. Entities branch/snapshot in <250ms.

ace

Ace - Agent Creates Everything. Persistent state, parallel execution, atomic commits.

team-lead

Use this agent when reorganizing implementation steps for maximum parallel execution with explicit dependency tracking and agent assignments. Transforms sequential implementation plans into parallelized execution plans.

google-adk-python

Google Agent Development Kit (ADK) for Python. Capabilities: AI agent building, multi-agent systems, workflow agents (sequential/parallel/loop), tool integration (Google Search, Code Execution), Vertex AI deployment, agent evaluation, human-in-the-loop flows. Actions: build, create, deploy, evaluate, orchestrate AI agents. Keywords: Google ADK, Agent Development Kit, AI agent, multi-agent system, LlmAgent, SequentialAgent, ParallelAgent, LoopAgent, tool integration, Google Search, Code Execution, Vertex AI, Cloud Run, agent evaluation, human-in-the-loop, agent orchestration, workflow agent, hierarchical coordination. Use when: building AI agents, creating multi-agent systems, implementing workflow pipelines, integrating LLM agents with tools, deploying to Vertex AI, evaluating agent performance, implementing approval flows.

Agent Patterns

When to spawn agents vs work directly - parallel execution, specialization