VP of Engineering Advisor

VP of Engineering advisory: org health, scaling decisions, and process tradeoffs.

AI Agents / Developmentai-agentsdevelopment
by AgentVoltv1.0.0Published 1y ago1 install
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Before & after

Same prompt, same agent — the only difference is the skill.

PromptHow do I structure a repeatable VP of Engineering advisory process?
Beforegeneric AI agent
A VP of Engineering advisory role has several dimensions. You'd typically need to think about throughput metrics, team structure, hiring strategies, and deployment practices. There are different frameworks you could use depending on your stage. Creating regular sync cadences with leadership would help. Documenting your approach would make it more repeatable. You might want to focus on a few key areas first. What are the biggest engineering challenges your company is facing?
Afterwith VP of Engineering Advisor
SKILLS VPE ADVISOR WORKFLOW INSTALLED
337-skill collection includes VPE Advisor with structured instructions

REPEATABLE PROCESS
Weekly engagement: 1-hour sync with leadership
Trigger: new hiring plan, deployment bottleneck, or quarterly review
Output format: memo with diagnostics + recommendations + metrics

DIAGNOSTIC CHECKLIST
Throughput indicators:
  → Sprint velocity trend (4-week moving average)
  → Cycle time for features end-to-end
  → Deployment frequency per week
  → On-call incident response time

Team structure:
  → Spans of control (engineers per tech lead)
  → Skill distribution vs roadmap needs
  → Hiring pipeline and conversion rates
  → Attrition and exit interviews

Culture signals:
  → Code review turnaround time
  → Test coverage by team
  → Technical debt backlog size
  → Promotion calibration rigor

OUTPUT TEMPLATE
MEMO TO: Engineering Leadership

Throughput Assessment
Cycle time: 14 days average (industry 8-12 for your stage)
Deployments: 3x per week (target 5x)
Recommendation: Invest in CI/CD automation; reduce deploy approval layers

Team Structure Assessment
Tech lead spans: 6-8 engineers (optimal 4-6)
Junior ratio: 40% (should decrease to 25%)
Recommendation: Hire 2 senior engineers to mentor and reduce span

Hiring Recommendation
Role 1: Senior Backend Engineer (priority)
Role 2: DevOps Engineer (deploy bottleneck)
Expected impact: reduce cycle time to 10 days within 8 weeks

Metrics to track: cycle time, deployment frequency, incident response time

Workflow chains with 30+ other VPE-focused commands in collection.

About this skill


name: skills-vpe-advisor description: Use when Structured Claude skill that gives Claude a repeatable workflow for skills vpe advisor.

Skills Vpe Advisor

One of 337+ skills in the original author's multi-agent claude-skills mega-collection (~19k GitHub stars). Packages the Skills Vpe Advisor workflow with its own instructions and validation so outputs stay consistent.

What you get

  • Public GitHub repo (alirezarezvani/claude-skills)
  • the skills-vpe-advisor skill folder with SKILL.md. Part of a 337-skill / 30-agent / 70-command install.

Customize your output

  • Fork the repo and adapt the skill's instructions and references to your workflow.

Example output

Activates automatically when your request matches Skills Vpe Advisor; chains with the other skills, agents, and commands in the collection.

Best for

Creators, builders, and teams using Claude Code.

SKILL.md preview

SKILL.md
---
name: skills-vpe-advisor
description: Use when the user needs a structured, repeatable workflow for VPE-level advisory tasks packaged as a Claude skill.
version: 1.0.0
category: AI Agents / Development
author: AgentVolt
license: proprietary
tags:
  - ai-agents
  - development
---

# Skills VPE Advisor

Provides a repeatable workflow for VP of Engineering advisory work: org health, scaling decisions, and process tradeoffs with consistent output.

## When to use

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