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firm-orchestration坚定的编排

Agent Skill

firm-orchestration 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

14,351

周安装

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下载量

5,025
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:firm-orchestration(坚定的编排)
来源仓库:https://github.com/romainsantoli-web/firm-orchestration
安装命令:
openclaw skills install firm-orchestration
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 firm-orchestration

简介

firm-orchestration 实现 OpenClaw 多代理层级任务分发。

  • 适用于从 CEO 到部门员工的目标传导与协作编排。
  • 通过 session_send 机制协调跨角色工作流。
  • 安装命令:openclaw skills install firm-orchestration。
  • 需谨慎控制权限边界,防止越权执行或资源滥用。

SKILL.md

name
firm-orchestration
version
1.0.0
description
>
author
romainsantoli-web
license
MIT
metadata
openclaw
requires
env
[]
bins
[]
tools
primaryEnv
tags

firm-orchestration

This skill implements the A2A (Agent-to-Agent) pyramid pattern for OpenClaw.

Architecture

CEO Agent (orchestrator)
 ├── Department Strategy
 │   └── Service Planning → Employee Analyst
 ├── Department Engineering
 │   └── Service Backend  → Employee Implementer
 ├── Department Quality
 │   └── Service Testing  → Employee Auditor
 └── Department Operations
     └── Service Release  → Employee Coordinator

Usage

Send this to your OpenClaw session to trigger a full firm orchestration run:

@firm-orchestration run
  objective: "Build a payment API"
  departments: ["engineering", "quality"]
  delivery_format: "github_pr"

Tools activated

ToolPurpose
sessions_listDiscover active department/service sessions
sessions_spawnSpawn missing sessions per pyramid level
sessions_sendDelegate objectives down the hierarchy
sessions_historyCollect results from child sessions

Handoff contract

Each delegation payload follows this schema:

{
  "from": "ceo",
  "to": "department:engineering",
  "objective": "...",
  "constraints": ["...", "..."],
  "definition_of_done": "...",
  "context_ref": "memory:delivery/latest",
  "reply_session": "main"
}

Merge strategy

Results from all departments are:

  1. Collected via sessions_history with a 30-second deadline
  2. Deduplicated by objective_key
  3. Merged in dependency order (Strategy → Engineering → Quality → Ops)
  4. Formatted according to delivery_format

Operating Protocol (Anthropic-style)

*Based on real Anthropic team practices — "How Anthropic teams use Claude Code"*

Phase 1 — Parallel dispatch (never sequential)

Fan-out simultaneously to all departments via sessions_send. Never wait for one department before launching the next. Each session receives the full handoff contract and maintains its own complete context. Store all reply_session refs for convergence.

Objective received →
  sessions_send(engineering) ‖ sessions_send(quality) ‖ sessions_send(ops) ‖ sessions_send(strategy)
→ wait(deadline=30s)
→ collect via sessions_history

Phase 2 — Iterative loop on blockers

If a department returns status: blocked, do NOT resolve it yourself. Spawn a joint resolution session with the two conflicting departments and let them iterate:

engineering blocked by legal →
  sessions_spawn(participants=[engineering, legal], objective="resolve_blocker") →
  wait(max_iterations=2) →
  collect resolution

Maximum 2 re-delegation cycles before escalating to CEO with explicit blocker report.

Phase 3 — Convergence with partial acceptance

30-second hard deadline. After deadline: accept partial results, mark missing department outputs as status: timeout, include them in final report as open items. Never block delivery on a single department.

Phase 4 — Validate before merge

Before merging each department output into the final deliverable:

  1. Check output satisfies its definition_of_done
  2. If DoD not met: flag as quality: partial — do not silently drop
  3. Merge in dependency order only: Strategy → Engineering → Quality → Ops

Phase 5 — Deliver + document

After every completed orchestration, automatically append:

  1. Run summary (1 paragraph)
  2. Departments that delivered / timed out / were blocked
  3. Architecture/process decisions made
  4. Suggestions for improving the next similar run

All final outputs carry the mandatory disclaimer:

⚠️ Contenu généré par IA — validation humaine requise avant utilisation en production.

Phase 6 — Git checkpoints (when Engineering is involved)

Require Engineering to commit after each sub-task — not only at end of run. Reject PRs that are not draft + labelled needs-review. Never allow direct merge to main.

Security

  • All inter-session calls use reply_session: "main" to avoid orphaned sessions
  • sessions_spawn is rate-limited: max 20 spawns per orchestration run
  • Payloads are validated against the handoff schema before dispatch
  • No external network calls — pure Gateway WebSocket routing

Example prompt

Use the firm-orchestration skill to:
  objective: "Audit the authentication module"
  departments: ["quality", "engineering"]
  constraints: ["read-only access only", "no production changes"]
  definition_of_done: "Security report with CVSS scores and fix recommendations"
  delivery_format: "markdown_report"

💎 Support

Si ce skill vous est utile, vous pouvez soutenir le développement :

Dogecoin : DQBggqFNWsRNTPb6kkiwppnMo1Hm8edfWq

适合场景

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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

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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

95.36%
按下载量换算4,792

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VirusTotal

可疑

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通过

Static analysis

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权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install firm-orchestration 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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