Results for “task-delegation”

CEO式任务委派工作流程。当收到任何任务时使用此流程：不亲自执行，而是派发子代理执行、监控进度、汇报、验收。适用于需要高效并行处理多任务的场景。

Delegate tasks to OpenAI Codex CLI and Google Antigravity CLI from Claude Code with topic-aware sessions.

Divide un cambio de diseño aprobado en tareas concretas, ordenadas por dependencias y agrupadas por fase, con criterios de done y un forecast de workload para revisión.

Dispatching Parallel Agents

Dispatch multiple independent tasks to parallel agents for faster debugging and problem-solving.

Delegate tasks to OpenAI Codex CLI and Google Antigravity CLI from Claude Code with topic-aware sessions

Decide which work is safe to delegate to worker agents. Use before delegating tasks that may require user interaction, approval, authentication, external writes, or shared-state mutation.

Guide for defining and using Claude subagents effectively. Use when (1) creating new subagent types, (2) learning how to delegate work to specialized subagents, (3) improving subagent delegation prompts, (4) understanding subagent orchestration patterns, or (5) debugging ineffective subagent usage.

Autonomously repairs failed task verification by choosing retry, decompose, prune, or escalate strategies before surfacing to the user.

Subagent-Driven Development

Load this skill when the user says "tech debt", "tech-debt", or "/tech-debt", or asks to file/track something they've identified as tech debt. Verifies the claimed problem still exists in the current code, drafts a single [Tech Debt]-prefixed issue from `.github/ISSUE_TEMPLATE/tech-debt-issue.md`, and creates it via `gh issue create` only after the user approves the draft.

当使用 delegate_task 派生子代理生成文件时，子代理的文件在其隔离上下文中，主代理无法直接读取。本技能记录文件交付的坑点和解决方案。

Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.

Metasuperhypergraph orchestrator with fractal scale-invariant recursion. Activates maximum performance mode through renormalization-group optimization, power-law resource allocation, and homoiconic self-improvement. Triggers on "ultrawork", complex multi-domain tasks, or when parallelization/delegation yields superlinear returns.