
Build an /Exec-Review AI Skill to Stop Guessing What Your Leader Wants
Key Takeaways
- •AI mimics exec feedback before meetings
- •Multiple leader profiles enable cross‑functional alignment
- •Granola integrates skill into meeting‑notes workflow
- •Reduces time spent on guesswork and revisions
- •Framework is reusable for any senior leader
Summary
A new "/exec-review" AI skill lets product teams capture a leader’s feedback before formal meetings by modeling the executive’s decision‑making style. The skill, demonstrated with a Meta VP’s profile, uses Claude Code to generate concise, voice‑matched comments on documents. Users can create multiple leader profiles—CEO, CPO, VP—so the same draft can be vetted against each stakeholder. The tool is bundled with Granola’s AI meeting‑notes platform, offering a free trial for teams seeking faster alignment.
Pulse Analysis
The rise of generative AI has opened doors for hyper‑personalized productivity tools, and the /exec-review skill is a prime example. By encoding a leader’s core principles, feedback patterns, and communication style into a prompt, the system can simulate how a CEO or VP would critique a strategy document. This pre‑emptive insight lets teams iterate faster, avoiding the classic back‑and‑forth that stalls product cycles. In practice, the skill leverages Claude’s large‑language capabilities to surface concise, actionable comments—such as highlighting missing risk assessments or clarifying decision requests—mirroring the executive’s voice and priorities.
Implementing the skill is straightforward: users follow a six‑step process to build a leader profile, from defining core beliefs to compiling example review quotes. Once the profile is stored as a simple text file, Claude can be prompted to run any draft through the /exec-review workflow. The result is a checklist‑style feedback report that aligns with the leader’s decision‑making framework. Companies can scale this across multiple executives, ensuring that product managers, engineers, and marketers receive consistent guidance without repeatedly scheduling ad‑hoc reviews.
From a business perspective, the /exec-review skill addresses a hidden productivity drain—time spent guessing senior leadership expectations. By delivering near‑real‑time, AI‑generated executive feedback, firms can shorten document turnaround times, reduce meeting overload, and improve the quality of strategic proposals. As AI adoption accelerates, tools that embed organizational knowledge into conversational interfaces will become essential for maintaining agility in fast‑moving tech environments.
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