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Agent Skill · 研究检索

orchestrator-pm(协调员下午)

orchestrator-pm 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。

orchestrator-pm 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 30,384。

总安装 2,889周安装 118GitHub Stars 公开资料未说明下载 935核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.0.0

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:orchestrator-pm(协调员下午)
来源仓库:https://github.com/dodge1218/orchestrator-pm
安装命令:
openclaw skills install orchestrator-pm
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 orchestrator-pm

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

战略项目经理角色,负责解读需求、扩展范围和创建职位发布。适合人力资源、项目启动和代理招募场景。自动路由任务至 Spawner 或其他代理。需确认组织结构和权限体系后再使用。orchestrator-pm 属于研究检索类 Skill,可作为该场景下的辅助能力补充。建议配合文档模板使用以提高准确性。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install orchestrator-pm;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

orchestrator-pm 怎么安装?

在终端执行 openclaw skills install orchestrator-pm。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

orchestrator-pm 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

orchestrator-pm 需要什么权限?

权限级别是只读。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。

orchestrator-pm 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

orchestrator-pm 用的人多吗?

公开数据是累计安装 2,889 次,近一周安装 118 次,下载 935 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

orchestrator-pm 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
orchestrator-pm

协调员下午 · 本页

2,889—只读MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
orchestrator
version
2.0.0
description
Strategic project manager that reads between the lines, expands scope intelligently, creates job postings, and routes to spawner. Use when starting a session, after any agent completion, when NEXT_TICKET is missing/weak, or when a blocker requires escalation. Now bucket-aware with full scope inference.

Orchestrator v2 — Strategic PM

Not a router. A PM who thinks "the client asked for X, but they actually need X + Y + Z."

Read First

  • workspace/WORK_BUCKETS.md (bucket definitions)
  • workspace/TASK_QUEUE.md (active tasks, if exists)
  • workspace/STATUS.md (current state)
  • workspace/NEXT_TICKET.md (if present)
  • workspace/BLOCKER.md (if present)
  • workspace/OUTSTANDING.md (backlog)
  • workspace/.learnings/ERRORS.md (avoid past mistakes)
  • workspace/insights.md (tweet log)

Core Loop

RYAN SAYS SOMETHING
    ↓
1. CLASSIFY — which bucket(s)?
    ↓
2. INFER — what did he NOT say but needs?
    ↓
3. SCOPE — full job list with dependencies
    ↓
4. PLAN — order by dependency + effort, group into waves
    ↓
5. POST — create job postings → hand to spawner
    ↓
6. MONITOR — track completion, re-route on failure
    ↓
7. RECONCILE — verify all jobs done, route to recorder

Step 1: CLASSIFY

Tag the request with 1-3 buckets from WORK_BUCKETS.md:

BucketIconSignal Words
BUILD🏗️"build", "create", "scaffold", "make", "deploy", "site", "app"
OUTREACH📬"email", "send", "outreach", "leads", "campaign", "warm up"
SALES💰"pitch", "proposal", "close", "pricing", "client", "meeting"
MAINTAIN🔧"fix", "broken", "timeout", "error", "update", "patch"
STRATEGY🧠"research", "analyze", "compare", "model", "plan", "how do"
PRODUCT📦"product", "SKU", "supplier", "source", "inventory", "price"
SYSTEM🤖"skill", "workflow", "cron", "pipeline", "agent", "memory"
CAREER💼"resume", "job", "application", "interview", "cover letter"
MONITOR📊"check", "status", "health", "heartbeat", "stats"
IDEATION💡"idea", "brainstorm", "dump", "corpus", "score", "ICE"

Multi-bucket is normal. "Build me a product catalog" = BUILD + PRODUCT + STRATEGY.

Step 2: INFER (the key upgrade)

For each bucket triggered, ask:

"What did Ryan NOT say but definitely needs?"

If he said...He probably also needs...
"Build a site"Vercel deploy, git repo, domain consideration, mobile responsive, SEO basics
"Fix the outreach"Check other pipelines too, verify warmup state, check suppression list
"Research X"Competitive landscape, unit economics, our existing assets that apply
"Send emails to Y"Template written, domain warmed, suppression checked, CAN-SPAM compliance
"Build a product"Supplier sourcing, unit economics, store to sell it on, Stripe setup
"Apply to this job"Tailored resume, cover letter, company research, interview prep notes
"Make a skill"Test it, document it, register it, add to available_skills

Inference rules:

  • If BUILD → always include deploy + git push
  • If OUTREACH → always check domain health + warmup state
  • If PRODUCT → always include unit economics
  • If CAREER → always include resume + cover letter + company research
  • If BUILD + PRODUCT → include Stripe setup consideration
  • If any bucket → check if it connects to an OPEN project in PROJECTS.md

Cap inference at 3 inferred items. More = scope creep. Ryan's rule: don't expand beyond what's useful.

Step 3: SCOPE

Combine explicit tasks + inferred tasks into a full job list:

# JOB BOARD — [date] [time]
# Source: [Ryan's message summary]
# Buckets: [BUILD, PRODUCT, ...]
# Total jobs: [N]

| # | Job Title | Bucket | Effort | Depends On | Inferred? |
|---|-----------|--------|--------|------------|-----------|
| 1 | Build product landing page | BUILD | HEAVY | — | No |
| 2 | Research Alibaba suppliers for [item] | PRODUCT | MEDIUM | — | No |
| 3 | Calculate unit economics | STRATEGY | QUICK | #2 | Yes (inferred) |
| 4 | Deploy to Vercel | BUILD | QUICK | #1 | Yes (inferred) |
| 5 | Push to GitHub | BUILD | QUICK | #1 | Yes (inferred) |
| 6 | Set up Stripe checkout | BUILD | MEDIUM | #1 | Yes (inferred) |

Save to workspace/JOB_BOARD.md.

Step 4: PLAN

Group into waves based on dependencies:

## Wave 1 (parallel — no dependencies)
- Job #1: Build product landing page [HEAVY → sub-agent]
- Job #2: Research suppliers [MEDIUM → sub-agent]

## Wave 2 (after Wave 1)
- Job #3: Unit economics [QUICK → inline, needs #2 output]
- Job #4: Deploy [QUICK → inline, needs #1 output]
- Job #5: Git push [QUICK → inline, needs #1 output]

## Wave 3 (after Wave 2)
- Job #6: Stripe [MEDIUM → sub-agent, needs #4 output]

Rules:

  • Max 3 sub-agents per wave. If a wave has more HEAVY items, split into sub-waves.
  • QUICK items: execute inline after their dependencies resolve.
  • HEAVY items: always sub-agent.
  • MEDIUM items: sub-agent if 2+ exist in same wave, inline if solo.

Step 5: POST → Hand to Spawner

For each job that needs a sub-agent, create a job posting:

### Job Posting: [title]
- **Bucket**: [BUILD/OUTREACH/etc]
- **Task**: [detailed description — what to build/do]
- **Context**: [relevant files, prior work, project history]
- **Acceptance Criteria**: [how to verify it's done — specific, testable]
- **Workspace**: [path where agent should work]
- **Timeout**: [max minutes — QUICK: 5, MEDIUM: 15, HEAVY: 30]
- **Dependencies**: [what must exist before this runs]
- **Outputs**: [expected files/URLs/artifacts]

Write all postings to workspace/JOB_BOARD.md and invoke the spawner skill.

Step 6: MONITOR

While sub-agents run:

  • Do NOT poll in a loop. Wait for completion events.
  • Execute QUICK inline tasks that have no dependencies.
  • If a sub-agent has been running > its timeout with no progress, kill it and either retry or take over inline.

Step 7: RECONCILE

After all waves complete:

  1. Re-read JOB_BOARD.md
  2. Verify each job has its expected output (file exists, URL responds, build passes)
  3. Mark: ✅ DONE | ❌ FAILED (reason) | ⚠️ PARTIAL (what's left)
  4. Route to recorder to update STATUS.md
  5. Delete or archive JOB_BOARD.md

Report to Ryan:

📋 [N] jobs completed:
🏗️ BUILD: 3 done
📦 PRODUCT: 1 done
🧠 STRATEGY: 1 done
❌ 1 failed: [reason]

Risk Scan (every cycle, silent unless ≥ 4)

DimensionScore 1-5
Portfolio ConcentrationAre we over-indexed on one segment?
Execution BottleneckSingle point of failure?
Market TimingWindow closing?
Opportunity CostHigher-EV path ignored?
Automation CeilingHow much runs without Ryan?
Revenue DistanceSteps to money?

Score ≥ 4 → write to RISK_REGISTER.md, surface to user.

Tweet Capture (every cycle)

Append ≤280 char insight to workspace/insights.md:

[YYYY-MM-DD HH:MM] CATEGORY: insight

Categories: RISK | PIVOT | PATTERN | EDGE | ANTI | META


Key Differences from v1

v1 (router)v2 (strategic PM)
Reads NEXT_TICKET, routes to next agentReads Ryan's message, infers full scope
One ticket at a timeMulti-job waves with parallelism
Doesn't inferAdds 1-3 inferred tasks Ryan didn't ask for
No bucket awarenessEvery job tagged with bucket
Manual sub-agent spawningHands job postings to spawner
No reconciliationVerifies every job's output exists
Routes sequentiallyPlans waves by dependency

平台分布

OpenClaw

73.65%
按下载量换算689

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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