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advanced-dispatcher-skill高级调度员技能

Agent Skill

advanced-dispatcher-skill 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

11,668

周安装

472

GitHub Stars

1

下载量

3,663
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:advanced-dispatcher-skill(高级调度员技能)
来源仓库:https://github.com/omaression/advanced-dispatcher-skill
安装命令:
openclaw skills install advanced-dispatcher-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install advanced-dispatcher-skill

简介

advanced-dispatcher-skill 用于工作路由优化,适合在 OpenClaw 中匹配合适模型。

  • 它将任务分发到不同生成模型,提升编码、算法等场景的效率。
  • 通过 clawhub 安装后,可结合来源仓库和 README 继续核验路由逻辑。
  • 安装前需确认权限范围、维护状态及是否触发模型切换或外部调用。
  • 建议参考原始文档了解模型列表和分配策略。

SKILL.md

name
advanced-dispatcher
description
Route mid-session work to the right spawned model without changing the fixed main session. Use for coding, architecture, math, algorithms, web development, brainstorming, research, long-context reading, quick scripts, formatting, multi-model tradeoff evaluation, or structured build pipelines triggered by buildq:, build:, or buildx:. Default to strict no-Claude routing; allow Claude only when the current prompt explicitly includes --force-claude.

Advanced Dispatcher

Classify work, dispatch it to the best spawned model, return the result to the main session.

Non-negotiable rules

  • Never use Anthropic models unless the current prompt contains --force-claude.
  • Reject --use-claude, --force-opus, --no-opus.
  • --force-claude is prompt-scoped, not session-scoped.
  • Deterministic routing over ad hoc judgment.
  • openai-codex/*long cache retention.
  • opencode-go/*short cache retention.
  • Claude never appears in build pipelines; --force-claude is limited to tradeoff proposals.
  • For coding work intended to merge, use Trunk-Based Development: one short-lived branch per feature/bug/fix/area.
  • Every PR-ready build flow must run robust automated tests before calling the work ready.
  • Keep git-visible diffs minimal, atomic, and limited to necessary files.

Routing table

DomainModel
Code & architectureopenai-codex/gpt-5.4
Math & algorithmsopencode-go/glm-5
Web dev & brainstormingopencode-go/minimax-m2.5
Research & long contextopencode-go/kimi-k2.5
Quick scripts & formattingopenai-codex/gpt-5.3-codex-spark

Spanning categories → route by highest-risk deliverable: architecture > math > long-context > formatting.

Tradeoff protocol

Trigger when the user compares approaches, evaluates tradeoffs, or asks "which is better."

Default proposals: opencode-go/glm-5 + openai-codex/gpt-5.3-codex With --force-claude: anthropic/claude-sonnet-4-6 + anthropic/claude-opus-4-6 Judge (always): openai-codex/gpt-5.4

Build pipelines

Trigger on buildq:, build:, or buildx: prefix.

Pre-step: create or verify one short-lived branch for the scoped work.

buildq: (quick, 5 steps)

  1. plan → gpt-5.4
  2. implement → gpt-5.4
  3. test → glm-5
  4. simplify → gpt-5.3-codex
  5. retest → glm-5

build: (standard, 10 steps)

  1. parallel-plan-a → gpt-5.4
  2. parallel-plan-b → glm-5
  3. judge-plan → gpt-5.4
  4. boilerplate → gpt-5.3-codex-spark
  5. implement → gpt-5.4
  6. test → glm-5
  7. simplify → gpt-5.3-codex
  8. retest → glm-5
  9. review-resolve → gpt-5.4
  10. final-test → glm-5

buildx: (strict, 12 steps)

  1. parallel-plan-a → gpt-5.4
  2. parallel-plan-b → glm-5
  3. judge-plan → gpt-5.4
  4. boilerplate → gpt-5.3-codex-spark
  5. implement → gpt-5.4
  6. test → glm-5
  7. simplify → gpt-5.3-codex
  8. retest → glm-5
  9. review-resolve-a → gpt-5.4
  10. test-a → glm-5
  11. review-resolve-b → kimi-k2.5
  12. final-test → glm-5

Exit rule: do not mark the branch PR-ready until automated tests pass and the diff stays atomic.

Judge output contract

Judge-plan must emit:

  1. Selected architecture
  2. Why it won
  3. Project/file structure
  4. Implementation order
  5. Branch plan (name, scope boundary)
  6. Test plan
  7. PR/CI test gates
  8. Simplification targets
  9. Done criteria

For buildx:, also include:

  1. Risk list
  2. Likely failure modes
  3. Review checklist

Simplify contract

Must:

  • Remove dead code
  • Remove speculative abstractions
  • Remove duplication
  • Remove over-engineered interfaces
  • Prefer fewer files when clarity is preserved

Must not:

  • Rewrite architecture
  • Add abstractions
  • Expand scope

Implementation contract

dispatcher.py must produce deterministic RoutePlan objects, expose route choice + cache retention + rationale + pipeline steps, support tradeoff/buildq/build/buildx, reject empty prompts and legacy flags.

Validation checklist

  1. Run test_dispatcher.py — all pass.
  2. Smoke test tradeoff, buildq:, build:, buildx:.
  3. Confirm Claude unreachable without --force-claude.
  4. Confirm Claude never in build pipelines.
  5. Confirm cache retention correctness.
  6. Confirm judge output includes branch plan and PR/CI test gates.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

94.61%
按下载量换算3,466

安全审计

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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