Search Results for "parallel-agents" | AgentCC

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.

ascent-task-coordinator

Multi-agent coordination pattern for Claude Code acting as Project Manager. Use when orchestrating background agents for feature implementation, when Claude Code should delegate rather than implement, or when running parallel investigation/implementation tasks. Provides task-list.json structure, progress tracking format, and agent role definitions. Keeps Claude Code in "coordinator mode" - dispatching work to specialized agents rather than writing code directly.

swarm-coordination

Coordinate multi-agent swarm workflows. Use when working in parallel with other agents, managing shared resources, or orchestrating distributed tasks. Covers conflict prevention, handoffs, and state synchronization.

multi-agent-vcs

This skill should be used when dispatching subagents for parallel development, coordinating multi-branch implementations, or when "parallel agents", "orchestrator commits", "subagent filesystem only", "multi-agent git", or "prevent stack corruption" are mentioned. Prevents stack corruption through orchestrator-only git policy.

superplan

Use when starting significant features, epics, or complex tasks. Creates multi-phase implementation plans with parallelizable phases, poker estimates, TDD-first acceptance criteria, and quality gates. Detects tech stack from CLAUDE.md/AGENTS.md (bypassing internet research if complete) or via codebase scan.

gitbutler-virtual-branches

This skill should be used when the user asks to "create a virtual branch", "assign file to branch", "work on multiple features simultaneously", "organize commits after coding", "use but commands", or mentions GitButler, virtual branches, parallel development without checkout, post-hoc commit organization, multi-agent concurrent development, or `--gitbutler`/`--but` flags.

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

orchestrating-swarms

Jamie-BitFlight

Master multi-agent orchestration using Claude Code's swarm system. Use this when coordinating multiple agents, running parallel code reviews, creating pipeline workflows with dependencies, building self-organizing task queues, or any task that benefits from divide-and-conquer patterns. This facade loads specialist skills for primitives, spawning, operations, and patterns.

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.

agent-teams-simplify-and-harden

Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle.

when-reviewing-pull-request-orchestrate-comprehensive-code-review

Use when conducting a comprehensive code review of a pull request across multiple quality dimensions. Orchestrates 12–15 specialized reviewer agents across four phases using a star-topology coordination pattern. Covers automated gates, parallel expert reviews (quality, security, performance, architecture, documentation), integration analysis, and a final merge recommendation within a four-hour timebox.

grey-haven-tdd-orchestration

Master TDD orchestration with multi-agent coordination, strict red‑green‑refactor enforcement, automated test generation, coverage tracking, and >90% coverage quality gates. Supports Claude Teams for parallel TDD workflows with plan-approval gates, or falls back to sequential subagent coordination. Coordinates tdd-python, tdd-typescript, and test-generator agents. Use when implementing features with a TDD workflow, coordinating multiple TDD agents, enforcing test-first development, orchestrating TDD teams, or when the user mentions "TDD workflow", "test-first", "TDD orchestration", "multi-agent TDD", "test coverage", or "red-green-refactor".

reviewing-code

Reviews implemented code for security, quality, performance, and test coverage using specialized review agents with clear accountability. Use when task file is in review/ directory. Launches Security Gatekeeper, Quality Guardian, and Test Auditor in parallel.

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.

design-synthesizer

Automatically activates when synthesizing outputs from multiple parallel sub-agents to produce a cohesive, integrated design, performing consistency checks and conflict resolution.

Agent-Swarm Spawner

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

agency

Use Agency CLI to run parallel AI coding tasks in isolated Git worktrees. Invoke when user mentions "agency", "ag", parallel tasks, worktrees, or wants to run multiple coding agents simultaneously.

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.

council

Query multiple AI agents in parallel for diverse perspectives. Use when you want multiple viewpoints on a question, to compare approaches, or to find consensus among AI models.

validate-run

Validate all checkpoints from an agent run directory in parallel. Spawns test-validator agents for each checkpoint and summarizes results. Invoke with /validate-run <run_path> [problem].

agentic-development

Exploration-labs

Conversational guidance for building software with AI agents, covering workflows, tool selection, prompt strategies, parallel agent management, and best practices based on real-world high-volume agentic development experience. Use this skill when users ask about setting up agentic workflows, choosing models, optimizing prompts, managing parallel agents, or improving agent output quality.

agent-patterns

This skill should be used when the user asks about "SPAWN REQUEST format", "agent reports", "agent coordination", "parallel agents", "report format", "agent communication", or needs to understand how agents coordinate within the sprint system.

oberagent

CRITICAL - Invoke FIRST before ANY Task tool call. This skill gates all agent dispatch. If you are about to use Task tool, STOP and invoke this skill. Enforces oberprompt principles. Triggers on "Task tool", "launch agent", "spawn agent", "dispatch agent", "parallel agents", "subagent", "background agent", "Explore agent", "general-purpose agent", "Bash agent", "Plan agent".

oberweb

Multi-dimensional web search orchestrator. Use when the user needs comprehensive web research that would benefit from parallel searches across different angles. Orchestrator grounds in local context, parallel sonnet agents extract quality information to files, then synthesis agent (user's model) produces grounded recommendations. Triggers on "research this", "find information about", "search the web for", "comprehensive search", "oberweb", or when a single search wouldn't capture all relevant aspects.

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

learn

Soul-Brews-Studio

Explore a codebase with parallel Haiku agents. Modes - --fast (1 agent), default (3), --deep (5). Use when user says "learn [repo]", "explore codebase", "study this repo".

sc-worktree

Git worktree management for multi-agent parallel development. Use when spawning multiple agents to work on isolated features simultaneously.

dispatching-parallel-agents

Concurrent investigation of independent failures. Use when multiple unrelated issues need parallel resolution.

parallel-agentsfan-outdiagnosis+2

trigger-agents

AI agent patterns with Trigger.dev - orchestration, parallelization, routing, evaluator-optimizer, and human-in-the-loop. Use when building LLM-powered tasks that need parallel workers, approval gates, tool calling, or multi-step agent workflows.

publish-review

Run a comprehensive review of the Queuert library before publishing, launching 7 parallel agents to check documentation coherence, API design, implementation verification, feature completeness, API consistency, schema design, and code style. Use when preparing to publish or validating publish readiness.

handoff

Generate optimized handoff prompts for delegating tasks to LLM agents. Use when needing to hand off work to another agent (GPT-5.2/Codex, Claude Opus 4.5/Sonnet 4, or Gemini 3 Pro/Flash), whether for a sub-task/parallel task within the same project or a fresh start handoff to a new agent context. Triggers on requests like "create a handoff prompt", "delegate this task to another agent", "hand this off", or "prepare context for another agent".

gsd-map-codebase

Analyze a codebase with parallel mapper agents to produce .planning codebase documents

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.

researching

Comprehensive codebase research skill. Documents codebase as-is by spawning parallel sub-agents and synthesizing findings into research documents.

review

Run expert review on a plan with parallel reviewer agents. Presents findings as Socratic questions. Use when asked to "review the plan", "get feedback on the design", "check this approach", or before implementation to validate architectural decisions. Optional argument: reviewer name (e.g., `/arc:review daniel-product-engineer` to use a specific reviewer)

dispatching-parallel-agents

Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently

pcc

Parallel Claude Coordinator - Create implementation plans with Sonnet scouts for exploration and Opus agents for implementation. Use for complex multi-file tasks requiring parallel coordination.

dispatching-parallel-agents

Dispatches one subagent per independent domain to parallelize investigation/fixes. Use when you have 2+ unrelated failures (e.g., separate failing test files, subsystems, bugs) with no shared state or ordering dependencies.

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.

worktree-workflow

Isolated git worktree workflow for coding agents. Handles worktree creation, atomic commits, branch publishing, optional PR creation, and cleanup. Use when implementing code changes that need branch isolation. Trigger terms - worktree, isolated workspace, branch isolation, atomic commits, code changes in isolation, parallel agent work.

research

Orchestrate parallel scientist agents for comprehensive research with AUTO mode

research-web

Deep web research with parallel investigators, multi-wave exploration, and structured synthesis. Spawns multiple web-researcher agents to explore different facets of a topic simultaneously, launches additional waves when gaps are identified, then synthesizes findings. Use when asked to research, investigate, compare options, find best practices, or gather comprehensive information from the web.\n\nThoroughness: quick for factual lookups | medium for focused topics | thorough for comparisons/evaluations (waves continue while critical gaps remain) | very-thorough for comprehensive research (waves continue until satisficed). Auto-selects if not specified.

Agents

Dynamic agent composition and management system. USE WHEN you need specialized agents, parallel work, or custom expertise combinations.

explore-codebase

Find all files relevant to a query using orthogonal exploration to achieve comprehensive coverage. Returns a topic-specific overview plus a file list with line ranges. Uses parallel agents for thorough+ levels to ensure nothing is missed.

adk-agent-builder

Guide for adding new agents to the ADK pipeline. Use when creating a new LlmAgent, SequentialAgent, or ParallelAgent, or when extending the pipeline with additional processing stages.

define-customer-profile

Iteratively craft a CUSTOMER.md document that precisely defines your ideal customer profile (ICP). This is the foundational document from which everything else (product, features, brand) derives. Uses parallel research agents and multi-choice workflow with feedback cycles.

Fixing Code

Fix ALL issues via parallel agents with zero tolerance quality enforcement. Use when user says "fix", "fix issues", "fix errors", "fix all", "fix bugs", "fix lint", "fix tests", or wants to resolve code problems.