taskflow

Orchestrate multi-phase subagent workflows with Taskflow. Use whenever a request spans a whole project or many items — deeply exploring / 探索 / auditing / 审计 / analyzing a codebase, reviewing or migrating many files or modules in parallel, cross-checked/adversarial review, codebase-wide research, or any repeatable orchestration you want to save and rerun. Prefer this over ad-hoc parallel work when the task has multiple phases (discover → work → review → report) or dynamic fan-out over a discovered list. Drives the taskflow_* MCP tools.

Orchestrate multi-phase subagent workflows with Taskflow. Use whenever a request spans a whole project or many items — deeply exploring / 探索 / auditing / 审计 / analyzing a codebase, reviewing or migrating many files or modules in parallel, cross-checked/adversarial review, codebase-wide research, or any repeatable orchestration you want to save and rerun. Prefer this over ad-hoc parallel work when the task has multiple phases (discover → work → review → report) or dynamic fan-out over a discovered list. Drives the taskflow_* MCP tools.

Orchestrate multi-phase subagent workflows with Taskflow. Use whenever a request spans a whole project or many items — deeply exploring / 探索 / auditing / 审计 / analyzing a codebase, reviewing or migrating many files or modules in parallel, cross-checked/adversarial review, codebase-wide research, or any repeatable orchestration you want to save and rerun. Prefer this over ad-hoc parallel work when the task has multiple phases (discover → work → review → report) or dynamic fan-out over a discovered list. Drives the taskflow_* MCP tools.

Orchestrate multi-phase subagent workflows with Taskflow. Use whenever a request spans a whole project or many items — deeply exploring / 探索 / auditing / 审计 / analyzing a codebase, reviewing or migrating many files or modules in parallel, cross-checked/adversarial review, codebase-wide research, or any repeatable orchestration you want to save and rerun. Prefer this over ad-hoc parallel work when the task has multiple phases (discover → work → review → report) or dynamic fan-out over a discovered list. Drives the taskflow_* MCP tools.

Orchestrate multi-phase subagent workflows with pi-taskflow. Use whenever a request spans a whole project or many items — deeply exploring / 探索 / auditing / 审计 / analyzing a codebase, reviewing or migrating many files or modules in parallel, cross-checked/adversarial review, codebase-wide research, or any repeatable orchestration you want to save and rerun. Prefer this over ad-hoc parallel subagents when the work has multiple phases or dynamic fan-out over a discovered list. Also supports subagent-style shorthand (single / parallel / chain) for simple non-DAG delegations you want tracked, resumable, or saveable.