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Found 12 Skills
Orchestrate in-session Task tool teams for parallel work. Fan-out research, implementation, review, and documentation across subagents. Use when: parallel tasks, fan-out, subagent team, Task tool, in-session agents.
Manage parallel workstreams — list, create, switch, status, progress, complete, and resume
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
Multi-agent parallel development cycle with requirement analysis, exploration planning, code development, and validation. Orchestration runs inline in main flow (no separate orchestrator agent). Supports continuous iteration with markdown progress documentation. Triggers on "parallel-dev-cycle".
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).
Orchestrate multiple independent agents running simultaneously, leveraging Claude Sonnet 4.5's parallel tool execution capabilities to maximize throughput on multi-task requests.
Guide for orchestrating Claude Code agent teams — multiple parallel Claude Code sessions coordinated by a team lead. Use this skill when the user mentions agent teams, teammates, parallel agents, multi-agent workflows, spawning agents, coordinating agents, delegate mode, plan approval for teammates, TeammateIdle or TaskCompleted hooks, or wants to break a task into parallel independent work streams. Also trigger on questions about tmux split-pane mode, in-process teammate mode, Shift+Up/Down agent switching, shared task lists, inter-agent messaging, or designing tasks for multi-agent decomposition. This is an experimental feature requiring CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS to be enabled.
Coordinate multi-agent swarms for parallel and pipeline workflows. Use when coordinating multiple agents, running parallel reviews, building pipeline workflows, or implementing divide-and-conquer patterns with subagents.
Implement approved OpenSpec proposal using DAG-scheduled multi-agent parallel execution
Implement a set of GitHub issues in parallel - triage or take an explicit issue list, group by file-conflict, create a worktree per lane, delegate to sub-agents, open a PR per lane; never merges. Use when asked to implement issues, work the backlog, or pick up multiple issues in parallel.
Use when coordinating OpenCode Ensemble teams, delegating independent coding work, reviewing teammate output, or running staged parallel waves. NOT for single-agent tasks, nested team-of-teams, or teammate subagents using team tools.
Orchestrate parallel paper processing. Split paper into sections and run any eligible Skill (polish, translation, de-ai) across sections via subagents. 团队协作模式：将论文拆分为章节并行处理。