Agent Skills › cbrock84/headcount › parallel-agent-delivery

parallel-agent-delivery

GitHub

指导在多智能体系统中安全并行分发独立任务,确保写入面不相交且无依赖,通过结构化返回整合结果。适用于多任务并行、搜索审计等场景。

plugins/technology/skills/parallel-agent-delivery/SKILL.md cbrock84/headcount

Trigger Scenarios

多个独立任务需同时处理 计划包含可并行步骤 广泛搜索或审计任务 评估工作是否可拆分

Install

npx skills add cbrock84/headcount --skill parallel-agent-delivery -g -y
More Options

Non-standard path

npx skills add https://github.com/cbrock84/headcount/tree/main/plugins/technology/skills/parallel-agent-delivery -g -y

Use without installing

npx skills use cbrock84/headcount@parallel-agent-delivery

指定 Agent (Claude Code)

npx skills add cbrock84/headcount --skill parallel-agent-delivery -a claude-code -g -y

安装 repo 全部 skill

npx skills add cbrock84/headcount --all -g -y

预览 repo 内 skill

npx skills add cbrock84/headcount --list

SKILL.md

Frontmatter
{
    "name": "parallel-agent-delivery",
    "description": "Splits work across multiple agents or sessions running at once, keeping their surfaces disjoint so results merge cleanly. Use this when facing several independent tasks with no shared state, when a plan has parallelizable steps, when a broad search or audit would be faster fanned out, or when deciding whether work can safely be split at all."
}

Parallel agent delivery

Parallelism is a property of the work, not a preference. Establish it before dispatching.

When it is safe

All three must hold:

  1. Disjoint write surfaces — no two agents touch the same file. Not "unlikely to conflict"; provably disjoint.
  2. No sequential dependency — none needs another's output to start.
  3. Independently verifiable — each result can be judged on its own.

Fail any one and run sequentially. Two agents editing one file produces a merge conflict at best and a silent lost update at worst.

Dispatching

Each agent gets a self-contained brief: the goal, its exclusive surface, the context it cannot see for itself, and the shape of the answer expected. Agents share no memory — anything you leave out is gone.

Ask for a structured return, the same shape from each, so results can be compared rather than re-read.

Read-only fan-out is the easy case

Searching, auditing, and reviewing have no write surface at all, so they parallelize without risk. Reach for parallelism here first and freely.

Integrating

  • Review each result against its brief before merging any of them.
  • Where two disagree on a shared fact, neither is authoritative — resolve it yourself.
  • One agent returning nothing useful is a normal outcome, not a failure to retry blindly.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Never

  • Split work to look faster when the steps are actually sequential.
  • Let two agents write to one surface because "they probably won't collide."
  • Merge a result you have not read.

Version History

  • 98d1c17 Current 2026-09-22 00:34

    扩展来源目录至所有部门,验证结果,增加引用源数量并规范许可说明。

  • d58a7ee 2026-09-02 21:11

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