用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill dispatching-parallel-agents命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
LinkedIn automation via the Linked API CLI - fetch profiles, search people and companies, send messages, manage connections, create posts, react, comment, and run Sales Navigator and custom workflows. Use when the user wants to interact with LinkedIn.
Xquik X data automation API - Use REST or MCP for tweet search, user lookup, follower exports, media downloads, monitors, webhooks, giveaway draws, and confirmation-gated X actions.
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
基于 SOC 职业分类
正在显示 SKILL.md
| name | dispatching-parallel-agents |
| description | Use multiple Claude agents to investigate and fix independent problems concurrently |
| user-invocable | false |
| disable-model-invocation | true |
| when_to_use | when facing 3+ independent failures that can be investigated without shared state or dependencies |
| version | 2.0.0 |
| progressive_disclosure | {"entry_point":{"summary":"Dispatch one agent per independent problem domain to solve multiple unrelated failures concurrently","when_to_use":"When you have 3+ independent failures in different test files/subsystems with no shared state or dependencies","quick_start":"1. Identify independent domains 2. Create focused agent tasks 3. Dispatch in parallel 4. Review summaries 5. Verify no conflicts and integrate"},"references":["coordination-patterns.md","agent-prompts.md","examples.md","troubleshooting.md"]} |
When multiple unrelated failures occur (different test files, different subsystems, different bugs), investigating them sequentially wastes time. Each investigation is independent and can happen in parallel.
Core principle: Dispatch one agent per independent problem domain. Let them work concurrently.
Activate this skill when facing:
Don't use when:
One agent, one problem domain, one clear outcome.
Never overlap scopes. Never share state. Always integrate consciously.
Problems must be truly independent - no shared files, no related root causes, no dependencies between fixes.
Each agent gets narrow scope: one test file, one subsystem, one clear goal. Broad tasks lead to confusion.
Every agent must return a summary: what was found, what was fixed, what changed. No silent fixes.
Don't blindly merge agent work. Review summaries, check conflicts, run full suite, verify compatibility.
Group failures by what's broken:
File A tests: Tool approval flow
File B tests: Batch completion behavior
File C tests: Abort functionality
Each domain is independent - fixing tool approval doesn't affect abort tests.
Each agent gets:
→ agent-prompts.md for prompt templates and examples
// In Claude Code / AI environment
Task("Fix agent-tool-abort.test.ts failures")
Task("Fix batch-completion-behavior.test.ts failures")
Task("Fix tool-approval-race-conditions.test.ts failures")
// All three run concurrently
→ coordination-patterns.md for dispatch strategies
When agents return:
→ troubleshooting.md for conflict resolution
Multiple failures?
└→ Are they independent?
├→ NO (related) → Single agent investigates all
└→ YES → Can they work in parallel?
├→ NO (shared state) → Sequential agents
└→ YES → Parallel dispatch ✓
When dispatching parallel agents, consider these complementary skills (available in the skill library):
STOP immediately if:
When in doubt: Start with one agent, understand the landscape, then dispatch if truly independent.
Prerequisite: Basic understanding of problem domains and test structure Complementary: PM-Workflow skill for coordinating multiple agents (see skill library) Domain-specific: Testing skills for understanding test failures (available in skill library)
From debugging session (2025-10-03):
→ examples.md for detailed case study