Agent skill

Evaluating Trade Offs

by RefoundAI in RefoundAI/lenny-skills

Help users navigate complex product decisions by weighing competing priorities and calculating long-term value.

MITAuto-check passedDevelopment

Install Evaluating Trade Offs

skills CLI
$ npx skills add RefoundAI/lenny-skills --skill evaluating-trade-offs -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install RefoundAI/lenny-skills evaluating-trade-offs --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/RefoundAI/lenny-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/evaluating-trade-offs .claude/skills/evaluating-trade-offs && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
evaluating-trade-offs
GitHub stars
1.4k
Token cost
~1.6k tokens
SKILL.md length
884 words
Files
3 (incl. references)
Skills in repo
76
Repo updated
First seen
Licence
MIT

At a glance

Help users navigate complex product decisions by weighing competing priorities and calculating long-term value.

  • Works in 4 steps: Framework Selection - Match the right… → ROI Calculation - Assist in modeling the… → Stakeholder Communication - Refine how… → …
  • Tasks that involve Technical debt
  • SKILL.md covers How to Help, Core Principles, Templates & Frameworks and Questions to Help Users, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Evaluating Trade Offs is an agent skill from RefoundAI/lenny-skills. 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.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/artifacts.md` and `references/guest-insights.md`).

It sits in Development, covering Technical debt. The repository describes itself as: 86 product management skills from Lenny's Podcast for Claude Code and AI agents. Hiring, user research, strategy, shipping, and more. The licence is MIT.

When your agent uses it

  • Tasks that involve Technical debt

Example prompts

  • “/evaluating-trade-offs”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Framework Selection - Match the right decision template to the specific tradeoff scenario you are facing.
  2. ROI Calculation - Assist in modeling the long-term business impact versus the operational costs of a proposed path.
  3. Stakeholder Communication - Refine how you present tradeoffs to leadership to ensure they see the hidden costs of saying yes.
  4. Bias Detection - Identify common traps like the sunk cost fallacy or the just one more engineer myth in your current thinking.

What it can do on your machine

Read from SKILL.md and the folder at commit 13598cc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Evaluating Trade Offs loads about 1.6k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 884 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~10k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from RefoundAI/lenny-skills at commit 13598cc, republished under its MIT licence (© RefoundAI). 884 words, ~1,615 tokens.

Download SKILL.mdSave it as .claude/skills/evaluating-trade-offs/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
evaluating-trade-offs
description
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.

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.

How to Help

  1. Framework Selection - Match the right decision template to the specific tradeoff scenario you are facing.
  2. ROI Calculation - Assist in modeling the long-term business impact versus the operational costs of a proposed path.
  3. Stakeholder Communication - Refine how you present tradeoffs to leadership to ensure they see the hidden costs of saying yes.
  4. Bias Detection - Identify common traps like the sunk cost fallacy or the just one more engineer myth in your current thinking.

Core Principles

Surface rabbit holes during shaping

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.

Quantify the risk of inaction

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.

Use SaaS for foundational needs

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.

Templates & Frameworks

  • Five Techniques for Communicating Tradeoffs (How to communicate tradeoffs so leaders will listen) - Tara Seshan's five-part playbook for making tradeoffs crystal clear to senior leaders, preventing the 'do both' default.
  • Magic Lenses (4 Classic Lenses + Custom) (Introducing the Foundation Sprint: From the creators of the Design Sprint) - A technique for evaluating multiple product approaches by plotting them on multiple 2x2 charts, each representing a different decision-making perspective
  • Technical/Design Investment Evaluation Framework (This Week #13: Balancing outcome-thinking with design and technical requirements ⚖️) - A scenario-based evaluation framework used at Airbnb to decide whether to invest in large technical or design work that doesn't directly drive near-term outcome
  • Build AND Buy (Austin Hay) - A decision-making framework that replaces the binary 'Build vs. Buy' debate with a hybrid approach to software procurement.
  • Traffic Light Decision Matrix (Naomi Gleit) - A visual table used in meetings to evaluate three options against specific criteria using color coding instead of a flat pros/cons list.
  • Weighted Decision-Making Spreadsheet (Nicole Forsgren) - A spreadsheet to evaluate options based on weighted criteria.
  • The 'Optimizing For' Framework (Nikita Miller) - A mental model for prioritization and trade-offs.
  • SCQA Tradeoff Decision Document (How to communicate tradeoffs so leaders will listen) - A structured document for presenting a prioritization tradeoff to leadership, using the Situation-Complication-Question-Answer framework with a bottom-line-up-f
  • Should We Do This Ourselves? Document (Jeff Weinstein) - An annual strategic document evaluating whether to build internal capabilities or use third-party vendors.
  • Build/Buy/Partner decision framework for large companies (Tanguy Crusson) - How Atlassian evaluates whether to build internally, acquire, or partner when entering a new market

See references/artifacts.md for the full list with details.

Show full SKILL.md (223 more words)Show less

Questions to Help Users

  • "What is the single clarifying question that helps the team filter priorities and resolve this specific tradeoff?"
  • "If we choose to build this internally, what are the predicted long-term maintenance and operational costs?"
  • "How does this project impact the broader company roadmap compared to our team's specific goals?"
  • "What infrastructure constraints or technical rabbit holes might we encounter once development begins?"
  • "Are we optimizing for a short-term metric or building a foundation for massive long-term customer value?"
  • "Under what specific conditions would the alternative decision be superior to the one we are leaning toward?"

Common Mistakes to Flag

  • The binary build-vs-buy trap - Teams often assume they must either build a total custom solution or buy a rigid tool when a hybrid approach is usually more efficient.
  • Ignoring the cost of heroics - Leaders often overlook how short-term pushes to do both options degrade team morale and operational stability over time.
  • Overestimating radical redesign success - Radical changes are statistically more likely to fail than incremental improvements yet they are often chosen for their perceived simplicity.
  • The Just One More Engineer fallacy - Believing that a single additional resource can fix a fundamentally flawed project structure or competitive disadvantage.

Deep Dive

For all 13 sourced insights from 14 guests, see references/guest-insights.md

  • Roadmap Prioritization
  • Goal Setting Okrs
  • Planning Cadence
  • High Stakes Decisions

© RefoundAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/evaluating-trade-offs of RefoundAI/lenny-skills.

  • SKILL.md
  • references/artifacts.md
  • references/guest-insights.md

Open the folder on GitHubat commit 13598cc

Compare with similar skills

Evaluating Trade Offs next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Evaluating Trade Offs compared with similar skills
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Evaluating Trade Offs this skillRefoundAI/lenny-skills1.4k—~1.6kAutomated safety check: PassMIT
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Code Simplification for ego-litecitrolabs/ego-lite17k—~1.2kAutomated safety check: PassMIT
Code Refactoring Workflowluongnv89/claude-howto42k—~3.1kAutomated safety check: PassMIT
Cto AdvisorIbrahim-3d/orchestrator-supaconductor3814 repos~2.4kAutomated safety check: PassMIT
Ponytail Debt LedgerDietrichGebert/ponytail159k—~453Automated safety check: PassMIT

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Categories

Questions about Evaluating Trade Offs

What does Evaluating Trade Offs do?

Help users navigate complex product decisions by weighing competing priorities and calculating long-term value. Evaluating Trade Offs is an agent skill from RefoundAI/lenny-skills. Help users navigate complex product decisions by weighing competing priorities and calculating long-term value.

When should I use Evaluating Trade Offs?

Evaluating Trade Offs fits situations like: tasks that involve Technical debt.

How do I install Evaluating Trade Offs in Claude Code?

Run `npx skills add RefoundAI/lenny-skills --skill evaluating-trade-offs -a claude-code`. Or copy the skill folder (skills/evaluating-trade-offs in RefoundAI/lenny-skills) into .claude/skills/evaluating-trade-offs in your project. Claude Code loads it when a task matches its description.

How do I install Evaluating Trade Offs in Codex?

Run `npx skills add RefoundAI/lenny-skills --skill evaluating-trade-offs -a codex`. Or copy the skill folder (skills/evaluating-trade-offs in RefoundAI/lenny-skills) into .agents/skills/evaluating-trade-offs in your project. Codex loads it when a task matches its description.

Can I use Evaluating Trade Offs in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add RefoundAI/lenny-skills --skill evaluating-trade-offs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/evaluating-trade-offs, .gemini/skills/evaluating-trade-offs, .github/skills/evaluating-trade-offs and .opencode/skills/evaluating-trade-offs in your project.

What does Evaluating Trade Offs need to run?

SKILL.md names no scripts, command-line tools or credentials: Evaluating Trade Offs is instructions for the agent only.

Does Evaluating Trade Offs access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Evaluating Trade Offs safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Evaluating Trade Offs use?

Evaluating Trade Offs is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Evaluating Trade Offs use?

About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8.5k tokens, read only when the agent opens those files.

What are the alternatives to Evaluating Trade Offs?

Skills that share tags, products or a category with Evaluating Trade Offs: Systematic Code Refactoring (luongnv89/claude-howto, 42k stars), Code Simplification for ego-lite (citrolabs/ego-lite, 17k stars), Code Refactoring Workflow (luongnv89/claude-howto, 42k stars) and Cto Advisor (Ibrahim-3d/orchestrator-supaconductor, 381 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Evaluating Trade Offs?

RefoundAI (a GitHub organization) maintains it in RefoundAI/lenny-skills, which has 1,381 GitHub stars. The repository holds 76 skills in this directory. The repository was last updated on July 16, 2026.

Source: RefoundAI/lenny-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.