Consolidate tech debt, team composition, and engineering metrics into prioritized roadmaps.
npx skills add https://github.com/CarbeneAI/Forge --skill cto-advisor-carbeneai
Please help me install this Agent Skill. Skill: cto-advisor Source: https://github.com/CarbeneAI/Forge/tree/main/.claude/skills/cto-advisor Command: npx skills add https://github.com/CarbeneAI/Forge --skill cto-advisor-carbeneai
This front-facing guide provides strategic frameworks and practical tools to help technology leaders align tech debt, architecture decisions, and engineering metrics with business goals.
Tech debt analyzer for identifying priorities and actionable plans.
Team scaling calculator to optimize headcount and structure.
Engineering metrics frameworks to measure performance, velocity, and quality.
ADR templates for architecture decisions and governance.
Technology evaluation tools to compare options and guide buy/build decisions.
Use cases include assessing technical debt, planning scale, evaluating new technologies, and establishing engineering metrics across initiatives.
Run an instant CTO assessment by analyzing current tech debt, team composition, and recommended ADR-driven actions.
High-intent search queries and answers about installing and using this skill.
Assess technical debt by analyzing current architecture, team composition, and engineering metrics to identify priorities. This process generates an actionable playbook with a prioritized roadmap, mapping specific debt items to KPIs for immediate remediation tracking.
Document architecture decisions using ADR templates that capture evaluation frameworks and governance logic. This yields standardized Architecture Decision Records that align technology choices with business goals and provide clear rationale for future scaling.
Calculate team scaling needs by evaluating current team composition against engineering metrics and project scope. This outputs optimized headcount recommendations and structural frameworks to align team scaling with technology strategy and velocity targets.
Evaluate new technologies and compare options using built-in evaluation frameworks that assess architecture impact and tech debt implications. This generates technology evaluation tools and buy/build decision guides aligned with your engineering metrics.
Use engineering metrics frameworks that consolidate performance, velocity, and quality indicators across initiatives. This provides KPI mappings that measure engineering metrics accurately, enabling data-driven leadership decisions for technology strategy.
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