Help users navigate complex product decisions by weighing competing priorities and calculating long-term value. This skill covers build-vs-buy logic, technical debt evaluation, and communicating tradeoffs to senior leadership.
npx skills add https://github.com/RefoundAI/lenny-skills --skill evaluating-trade-offs
Master the art of weighing competing options to maximize long-term impact and team velocity.
Help the user with evaluating trade-offs using insights from 14 guests and posts across Lenny's Podcast and Newsletter.
Ryan Singer: "I often use this analogy of if you're doing a home renovation, you can have the most beautiful rendering of the new bedroom and we're going to have these lamps on the side of the bed that are coming out from the wall. But if you haven't checked if there's electricity in that wall there or not, it's going to drastically change the cost and the time and everything."
Involve senior engineers early to identify technical complexities and infrastructure constraints before committing the team to a high-fidelity design.
From "This Week #13: Balancing outcome-thinking with design and technical requirements ⚖️": "To answer your question about how we balanced this outcome-thinking with engineering and design needs (which often don’t directly drive that outcome), it’s simple — extend your outcome thinking further out into the future. How much would this work benefit your outcome (e.g. growth, quality, retention) 1+ years out? What happens if you don’t do it? What are the chances of it being successful?"
Evaluate major technical or design investments by comparing the impact of doing the work now versus the cost and risk of doing nothing.
Austin Hay: "That's how you actually have a lot of velocity is thinking about not just build versus buy. It's build and buy now. So, you buy the tool to get 90% of the way there and then you build the cool thing on top with the other 10%. And so that architecting decision usually falls on this person."
Avoid reinventing the wheel by buying third-party solutions for core functionality and focusing internal engineering on proprietary layers.
See references/artifacts.md for the full list with details.
For all 13 sourced insights from 14 guests, see references/guest-insights.md
Control Cursor AI code editor via CLI. Open files, folders, diffs, and manage extensions.
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
Systematically evaluate architecture decisions, document trade-offs, and select appropriate patterns. This skill should be used when the user asks about 'architecture decision', 'ADR', 'design pattern selection', 'technology choice', or needs to evaluate architectural trade-offs. Keywords: architecture, ADR, patterns, trade-offs, technical debt, quality attributes, decision record.
Facilitates deliberate skill development during AI-assisted coding. Offers interactive learning exercises after architectural work (new files, schema changes, refactors). Use when completing features, making design decisions, or when user asks to understand code better. Triggers on "learning exercise", "help me understand", "teach me", "why does this work", or after creating new files/modules. Do NOT use for urgent debugging, quick fixes, or when user says "just ship it".
Organize project files and folders for maintainability and scalability. Use when structuring new projects, refactoring folder structure, or establishing conventions. Handles project structure, naming conventions, and file organization best practices.
Automatically trigger review agents after task completion. Use when strategic-planner finishes planning tasks (calls plan-consultant) or when main agent completes coding tasks in /implement workflow (calls code-reviewer). Triggers on phrases like "plan complete", "implementation done", "coding finished", "ready for review".
Provides a structured workflow for planning and executing code reviews like a senior engineer. Use when asked to review code, PRs, or plan a code review task.
Recall project-first and global-supplement ChatCrystal memories before substantive implementation, refactoring, migration, configuration, investigation, or optimization work. Use when the task is non-trivial, has repository or project context, and prior fixes, decisions, pitfalls, or reusable patterns may change the approach.
Take refoundai/evaluating-trade-offs from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.