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Thinking Opportunity Cost

CommunityPopular
tjboudreaux
thinking-opportunity-cost

Before committing scarce time, people, or money, name the best forgone use of those resources and the value delta of the chosen path versus that alternative.

Overview

Publishertjboudreaux
Repositorycc-thinking-skills
Skill namethinking-opportunity-cost
Stars
1.3K
Forks
158
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by tjboudreaux on GitHub. Read the source before you install it.

Installation

Install the Thinking Opportunity Cost AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/tjboudreaux/cc-thinking-skills.git /tmp/cc-thinking-skills
mkdir -p .claude/skills
cp -r /tmp/cc-thinking-skills/skills/thinking-opportunity-cost .claude/skills/thinking-opportunity-cost
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Thinking Opportunity Cost in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Thinking Opportunity Cost on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Thinking Opportunity Cost is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Opportunity Cost

Core rule: every commitment displaces its best alternative. Report both that forgone value and the net value delta; decide on the delta, not the chosen path alone.

When to Use

  • Allocating scarce time, headcount, budget, or attention across competing options
  • Feature prioritization, build-vs-buy, tech-debt vs product work
  • Saying yes to a large commitment that displaces other work
  • Comparing a bold path against polishing the status quo when windows may close

When NOT to Use

  • Trivial or cheaply reversible choices where analysis costs more than the resource
  • No real alternative use (resource is idle, earmarked, or non-fungible)
  • Mandatory work (compliance, security fix, hard dependency) with no optional alternative
  • Inventing speculative alternatives only to look rigorous when the next-best is clearly worse

Procedure

  1. State the commitment. Name the choice, the scarce resource units (eng-weeks, dollars, calendar), and the decision horizon.
  2. List real alternatives, including do-nothing. At least: proposed option, next-best productive use of the same resources, and status quo / wait. Drop fantasy options with no owner or feasibility.
  3. Value each path. For each alternative, estimate direct value, strategic value, risk, and time-to-value in the same units. Prefer rough comparable magnitudes over fake precision.
  4. Compute best forgone value and value delta. Identify the single best non-chosen alternative (may be do-nothing). best_forgone_value = its estimated value. value_delta = chosen_value − best_forgone_value (same units). True cost of choosing = direct cost of the choice + best_forgone_value. Prefer the option with the superior (positive) value delta after risk; a large positive chosen value is not enough if the forgone alternative is larger.
  5. Future tradeoff / permanent forgone options. For serious alternatives (including the bold path): mark temporary recoverable costs vs permanent losses (window closes, lock-in, no re-entry). Prefer avoiding the greater permanent loss when acting downside is recoverable and non-catastrophic—even if near-term value_delta is slightly negative. Do not invent permanence for speculative upside without evidence.
  6. Strongest countercase and decide. Steel the case that the best alternative or its value is misidentified (sunk-cost anchoring, status-quo undervalued, or a "free" option that still burns time). Recompute value_delta under that challenge. Then choose: proceed if delta stays favorable (or permanent-loss rule applies), else switch, wait, or split. Stop when ranking is stable.

Output

text
Choice: …
Resources committed: …
Alternatives:
  A (proposed): value … risk …
  B (next-best): value … risk …
  C (do-nothing / wait): value … risk …
Best forgone alternative: …
Best forgone value: …
Value delta (chosen_value − best_forgone_value): …
Permanent vs temporary losses: …
Decision: proceed | switch | wait | split — because value_delta … (and permanent-loss rule if used)
Countercase checked: …

Verification

  • Falsify: If the analysis never names a concrete next-best use of the same resources, or reports only one number labeled both "opportunity cost" and "delta," it is incomplete—add B, then report best_forgone_value and value_delta separately.
  • Stop: When one best forgone alternative and a signed value delta determine the choice, stop enumerating weaker options.
  • Over-application guard: Do not run full accounting on mandatory or trivial work. Ignore sunk costs; revalue only from current state forward.

Frequently asked questions

What does the Thinking Opportunity Cost AI skill do?

Before committing scarce time, people, or money, name the best forgone use of those resources and the value delta of the chosen path versus that alternative.

Why use Thinking Opportunity Cost on TypingMind?

Because you install it once and use it with any model. Thinking Opportunity Cost is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Thinking Opportunity Cost in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tjboudreaux/cc-thinking-skills/tree/main/skills/thinking-opportunity-cost. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Thinking Opportunity Cost?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Thinking Opportunity Cost?

As many as you like. As long as a model supports skills, you can use Thinking Opportunity Cost with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Thinking Opportunity Cost AI skill free?

Yes. It is published on GitHub by tjboudreaux under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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