Tagged multi-agent

Review GitHub pull requests from several angles with parallel subagents

Guidance for handing focused work to child agents and subagents

Run structured experiment loops that try variants and keep the top candidates

Protocol for evo optimization subagents dispatched from the optimize loop

Spawn and manage background subagents that run work in parallel

Split a big job across parallel subagents that run unattended and report back

Run multi-agent workflows defined in YAML steps with the TAKT engine

Run a wizard that builds model routing and capability tier settings for agent teams

Coordinate independent subagents in parallel and spawn workers for multi-part tasks

Split two or more independent tasks across parallel subagents when delegation is cheaper

Run plan tasks through independent subagents with review between each task

Run Claude Code as an independent subagent for review or delegated tasks

Test and harden a skill against golden cases using blind subagent runs

Run a multi-agent goal in parallel git worktrees and verify the merged output

Coordinate between agent teams, resolve conflicts and decide when to pivot

Carve risky parts out of a task and run the safe remainder in a fresh subagent

Coordinate Deep Agents with subagents, task planning and human approval steps

Fan out many independent items to parallel subagents and combine the results

Delegate tasks to Codex, Aider or other CLI agents in detached tmux sessions

Run plans task by task with fresh subagents and a two-stage review

Build Claude Code skills, sub-agents, hooks, memory, settings and plugins

Coordinate multiple agents in parallel or series and merge their results

Execute plans through subagents with a two-stage review of each task

Hand research and analysis to a background subagent that reports back

Map the multi-agent orchestration tree of a session by parent, child and depth

Audit which models handled which subagent types and where delegation was wasteful

Trace how a failure in one subagent cascaded up through a multi-agent run

Implement tickets with bounded worker subagents, then integrate their results

Find bottlenecks in agent workflows, tool flow and subagent delegation patterns

Plan and build PDF courseware outlines by delegating sections to sub-agents

Launch a large agent swarm only on an explicit /super-swarm-spark command

Plan dependency-aware work splits for parallel multi-agent implementation