cto-advisorTechnical leadership guidance for engineering teams, architecture decisions, and technology strategy. Includes tech debt analyzer, team scaling calculator, engineering metrics frameworks, technology evaluation tools, and ADR templates. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.
Install via ClawdBot CLI:
clawdbot install alirezarezvani/cto-advisorStrategic frameworks and tools for technology leadership, team scaling, and engineering excellence.
CTO, chief technology officer, technical leadership, tech debt, technical debt, engineering team, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, ADR, architecture decision records, technology strategy, engineering leadership, engineering organization, team structure, hiring plan, technical strategy, vendor evaluation, technology selection
python scripts/tech_debt_analyzer.pyAnalyzes system architecture and provides prioritized debt reduction plan.
python scripts/team_scaling_calculator.pyCalculates optimal hiring plan and team structure for growth.
Review references/architecture_decision_records.md for ADR templates and examples.
Use framework in references/technology_evaluation_framework.md for vendor selection.
Implement KPIs from references/engineering_metrics.md for team performance tracking.
# Assess current debt
python scripts/tech_debt_analyzer.py
# Allocate capacity
- Critical debt: 40% capacity
- High debt: 25% capacity
- Medium debt: 15% capacity
- Low debt: Ongoing maintenance# Calculate scaling needs
python scripts/team_scaling_calculator.py
# Key ratios to maintain:
- Manager:Engineer = 1:8
- Senior:Mid:Junior = 3:4:2
- Product:Engineering = 1:10
- QA:Engineering = 1.5:10Use ADR template from references/architecture_decision_records.md:
Follow framework in references/technology_evaluation_framework.md:
From references/engineering_metrics.md:
DORA Metrics (Deploy to production targets):
Quality Metrics:
Team Health:
Monthly:
Quarterly:
1. Executive Summary (1 slide)
2. Current State Assessment (2 slides)
3. Vision & Strategy (2 slides)
4. Roadmap & Milestones (3 slides)
5. Investment Required (1 slide)
6. Risks & Mitigation (1 slide)
7. Success Metrics (1 slide)1. Wins & Recognition (5 min)
2. Metrics Review (5 min)
3. Strategic Updates (10 min)
4. Demo/Deep Dive (15 min)
5. Q&A (10 min)Subject: Engineering Update - [Month]
Highlights:
ā¢ [Major achievement]
ā¢ [Key metric improvement]
ā¢ [Strategic progress]
Challenges:
ā¢ [Issue and mitigation]
Next Month:
ā¢ [Priority 1]
ā¢ [Priority 2]
Detailed metrics attached.ā Technical Excellence
ā Team Success
ā Business Impact
ā ļø Increasing technical debt
ā ļø Rising attrition rate
ā ļø Slowing velocity
ā ļø Growing incidents
ā ļø Team morale declining
ā ļø Budget overruns
ā ļø Vendor dependencies
ā ļø Security vulnerabilities
Generated Mar 1, 2026
A fast-growing startup needs to expand its engineering team from 10 to 50 developers within a year while maintaining productivity and culture. The skill helps calculate optimal hiring ratios, structure teams, and establish engineering metrics to track performance during rapid growth.
A large financial services company faces high technical debt in its core banking system, leading to slow feature delivery and frequent outages. The skill provides tools to analyze debt, prioritize refactoring, and use ADR templates for architecture decisions to guide a multi-year modernization strategy.
An e-commerce business needs to select a new cloud provider and microservices framework to handle peak holiday traffic. The skill offers a technology evaluation framework to assess vendors, align choices with business goals, and implement DORA metrics for deployment reliability post-migration.
A healthcare software provider must improve engineering performance and compliance by establishing clear metrics. The skill guides the setup of DORA metrics for deployment frequency and lead time, plus quality metrics like test coverage, tailored to regulated industry standards.
A manufacturing firm is digitizing its operations with IoT and AI, requiring consistent architecture decisions across multiple teams. The skill provides ADR templates and weekly review cadences to standardize technology choices, ensure security, and manage vendor relationships for industrial systems.
Companies offering cloud-based software subscriptions rely on this skill to manage technical debt for rapid feature delivery, scale engineering teams efficiently as customer base grows, and use metrics like DORA to ensure high availability and performance for end-users.
Consulting firms use this skill to advise clients on technology strategy, helping them assess technical debt, implement engineering metrics, and make architecture decisions. It supports project-based engagements by providing frameworks for team scaling and vendor evaluation.
Firms developing and selling physical or digital products leverage this skill to optimize engineering processes, evaluate technologies for product development, and establish metrics to reduce time-to-market. It aids in crisis management for incidents affecting product reliability.
š¬ Integration Tip
Integrate the skill by running the Python tools for debt analysis and team scaling during quarterly planning cycles, and incorporate ADR templates into existing documentation workflows to standardize architecture decisions.
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