thinking-bounded-ratio…
Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option…
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.
Claude Code
$ npx -y skills add tjboudreaux/cc-thinking-skills --skill thinking-opportunity-cost --agent claude-code
Codex
$ npx skills add tjboudreaux/cc-thinking-skills --skill thinking-opportunity-cost -a codex -y
Cursor
$ npx skills add tjboudreaux/cc-thinking-skills --skill thinking-opportunity-cost -a cursor -y
Gemini CLI
$ npx skills add tjboudreaux/cc-thinking-skills --skill thinking-opportunity-cost -a gemini-cli -y
GitHub Copilot
$ npx skills add tjboudreaux/cc-thinking-skills --skill thinking-opportunity-cost -a github-copilot -y
OpenCode
$ npx skills add tjboudreaux/cc-thinking-skills --skill thinking-opportunity-cost -a opencode -y
Windsurf
$ npx skills add tjboudreaux/cc-thinking-skills --skill thinking-opportunity-cost -a windsurf -y
name: thinking-opportunity-cost description: 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. disable-model-invocation: true
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.
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.
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: …
28 portable Agent Skills for structured reasoning in Claude Code, GitHub Copilot, Codex, Cursor, and other compatible tools Claude Code Thinking Skills is a public catalog of Agent Skills.
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