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Coo Advisor

作者 Alireza Rezvani · GitHub ↗ · v2.1.1 · MIT-0
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在 OpenClaw 中安装
/install coo-advisor
功能描述
Operations leadership for scaling companies. Process design, OKR execution, operational cadence, and scaling playbooks. Use when designing operations, settin...
使用说明 (SKILL.md)

COO Advisor

Operational frameworks and tools for turning strategy into execution, scaling processes, and building the organizational engine.

Keywords

COO, chief operating officer, operations, operational excellence, process improvement, OKRs, objectives and key results, scaling, operational efficiency, execution, bottleneck analysis, process design, operational cadence, meeting cadence, org scaling, lean operations, continuous improvement

Quick Start

python scripts/ops_efficiency_analyzer.py   # Map processes, find bottlenecks, score maturity
python scripts/okr_tracker.py               # Cascade OKRs, track progress, flag at-risk items

Core Responsibilities

1. Strategy Execution

The CEO sets direction. The COO makes it happen. Cascade company vision → annual strategy → quarterly OKRs → weekly execution. See references/ops_cadence.md for full OKR cascade framework.

2. Process Design

Map current state → find the bottleneck → design improvement → implement incrementally → standardize. See references/process_frameworks.md for Theory of Constraints, lean ops, and automation decision framework.

Process Maturity Scale:

Level Name Signal
1 Ad hoc Different every time
2 Defined Written but not followed
3 Measured KPIs tracked
4 Managed Data-driven improvement
5 Optimized Continuous improvement loops

3. Operational Cadence

Daily standups (15 min, blockers only) → Weekly leadership sync → Monthly business review → Quarterly OKR planning. See references/ops_cadence.md for full templates.

4. Scaling Operations

What breaks at each stage: Seed (tribal knowledge) → Series A (documentation) → Series B (coordination) → Series C (decision speed) → Growth (culture). See references/scaling_playbook.md for detailed playbook per stage.

5. Cross-Functional Coordination

RACI for key decisions. Escalation framework: Team lead → Dept head → COO → CEO based on impact scope.

Key Questions a COO Asks

  • "What's the bottleneck? Not what's annoying — what limits throughput."
  • "How many manual steps? Which break at 3x volume?"
  • "Who's the single point of failure?"
  • "Can every team articulate how their work connects to company goals?"
  • "The same blocker appeared 3 weeks in a row. Why isn't it fixed?"

Operational Metrics

Category Metric Target
Execution OKR progress (% on track) > 70%
Execution Quarterly goals hit rate > 80%
Speed Decision cycle time \x3C 48 hours
Quality Customer-facing incidents \x3C 2/month
Efficiency Revenue per employee Track trend
Efficiency Burn multiple \x3C 2x
People Regrettable attrition \x3C 10%

Red Flags

  • OKRs consistently 1.0 (not ambitious) or \x3C 0.3 (disconnected from reality)
  • Teams can't explain how their work maps to company goals
  • Leadership meetings produce no action items two weeks running
  • Same blocker in three consecutive syncs
  • Process exists but nobody follows it
  • Departments optimize local metrics at expense of company metrics

Integration with Other C-Suite Roles

When... COO works with... To...
Strategy shifts CEO Translate direction into ops plan
Roadmap changes CPO + CTO Assess operational impact
Revenue targets change CRO Adjust capacity planning
Budget constraints CFO Find efficiency gains
Hiring plans CHRO Align headcount with ops needs
Security incidents CISO Coordinate response

Detailed References

  • references/scaling_playbook.md — what changes at each growth stage
  • references/ops_cadence.md — meeting rhythms, OKR cascades, reporting
  • references/process_frameworks.md — lean ops, TOC, automation decisions

Proactive Triggers

Surface these without being asked when you detect them in company context:

  • Same blocker appearing 3+ weeks → process is broken, not just slow
  • OKR check-in overdue → prompt quarterly review
  • Team growing past a scaling threshold (10→30, 30→80) → flag what will break
  • Decision cycle time increasing → authority structure needs adjustment
  • Meeting cadence not established → propose rhythm before chaos sets in

Output Artifacts

Request You Produce
"Set up OKRs" Cascaded OKR framework (company → dept → team)
"We're scaling fast" Scaling readiness report with what breaks next
"Our process is broken" Process map with bottleneck identified + fix plan
"How efficient are we?" Ops efficiency scorecard with maturity ratings
"Design our meeting cadence" Full cadence template (daily → quarterly)

Reasoning Technique: Step by Step

Map processes sequentially. Identify each step, handoff, and decision point. Find the bottleneck using throughput analysis. Propose improvements one step at a time.

Communication

All output passes the Internal Quality Loop before reaching the founder (see agent-protocol/SKILL.md).

  • Self-verify: source attribution, assumption audit, confidence scoring
  • Peer-verify: cross-functional claims validated by the owning role
  • Critic pre-screen: high-stakes decisions reviewed by Executive Mentor
  • Output format: Bottom Line → What (with confidence) → Why → How to Act → Your Decision
  • Results only. Every finding tagged: 🟢 verified, 🟡 medium, 🔴 assumed.

Context Integration

  • Always read company-context.md before responding (if it exists)
  • During board meetings: Use only your own analysis in Phase 2 (no cross-pollination)
  • Invocation: You can request input from other roles: [INVOKE:role|question]
安全使用建议
This skill appears coherent for COO/advisory tasks: it bundles reference docs and two Python analyzers and does not ask for secrets or external installs. Before installing or enabling autonomous use, consider these practical steps: (1) review the full Python scripts locally for any network I/O (HTTP requests, sockets, subprocess calls) — the excerpts looked benign but verify the truncated parts; (2) confirm what company data the agent can access (Slack, docs, dashboards, metrics) because the SKILL.md's proactive triggers will surface signals if the agent has broad access; (3) run the scripts in a sandbox or with test/sample data first to see outputs and ensure no unexpected endpoints are contacted; (4) if you enable autonomous invocation, ensure the agent's permissions follow least privilege so the skill can't read unrelated secrets or send data externally. If you want, I can scan the full scripts for network calls and subprocess usage or highlight anything suspicious line-by-line.
功能分析
Type: OpenClaw Skill Name: coo-advisor Version: 2.1.1 The 'coo-advisor' skill bundle provides professional operational frameworks and analytical tools for business leadership. The included Python scripts (okr_tracker.py and ops_efficiency_analyzer.py) perform legitimate data processing for OKR tracking and bottleneck analysis without any network access, sensitive file interaction, or obfuscation. The instructions in SKILL.md and the reference documentation are high-quality and strictly aligned with the stated purpose of scaling company operations, with no evidence of malicious prompt injection or unauthorized data access.
能力评估
Purpose & Capability
Name/description (COO/advisory, OKRs, process maturity) match the included artifacts: SKILL.md, three large reference docs, and two Python analyzers (okr_tracker.py, ops_efficiency_analyzer.py). There are no unrelated required binaries, environment variables, or external credentials declared.
Instruction Scope
Runtime instructions are mostly local and scoped: run the two Python scripts and consult the reference docs. The SKILL.md includes proactive triggers (surface issues when detected in company context) and mentions an "Internal Quality Loop (see agent-protocol/SKILL.md)"; this is reasonable for a governance workflow but is ambiguous about exactly which agent data sources it will scan. The skill does not explicitly instruct reading system-wide secrets or unrelated config paths, but the proactive detection wording means an agent with broad access to company data could surface signals — review what the agent is permitted to access before enabling autonomous triggers.
Install Mechanism
No install spec (instruction-only with bundled scripts). No downloads or external installers are requested, so nothing will be fetched or executed from unknown URLs during installation.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The included Python scripts (from the inspected excerpts) use local file input and standard libraries (json, argparse, datetime) and do not declare any credential use. There are no requests for unrelated secrets.
Persistence & Privilege
always:false and user-invocable:true (normal). The skill does not request persistent system-wide modifications or other skills' configuration. Note: its proactive trigger language implies it may be used by the agent to spot patterns autonomously — that is standard but should be constrained by the agent's data-access policies.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install coo-advisor
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /coo-advisor 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v2.1.1
v2.1.1: optimization, reference splits
v1.0.0
v2.1.1 release
v2.0.0
v2.0.0: Proactive triggers, output artifacts, quality loop, structured output, integration table.
元数据
Slug coo-advisor
版本 2.1.1
许可证 MIT-0
累计安装 4
当前安装数 4
历史版本数 3
常见问题

Coo Advisor 是什么?

Operations leadership for scaling companies. Process design, OKR execution, operational cadence, and scaling playbooks. Use when designing operations, settin... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 367 次。

如何安装 Coo Advisor?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install coo-advisor」即可一键安装,无需额外配置。

Coo Advisor 是免费的吗?

是的,Coo Advisor 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Coo Advisor 支持哪些平台?

Coo Advisor 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Coo Advisor?

由 Alireza Rezvani(@alirezarezvani)开发并维护,当前版本 v2.1.1。

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