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orchestrator-pm协调员下午

Agent Skill

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。

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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: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

简介

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。

SKILL.md

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

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

73.65%
按下载量换算689

安全审计

VirusTotal

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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

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