thinking-bounded-ratio…
Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option that clears it.
Use when the reflex is to add a feature, layer, or process. Prefer removing harmful or nonessential elements first, with an irreversibility guard before deletion.
$ npx -y skills add tjboudreaux/cc-thinking-skills --skill thinking-via-negativa --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/thinking-via-negativaContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when the reflex is to add a feature, layer, or process. Prefer removing harmful or nonessential elements first, with an irreversibility guard before deletion.
name: thinking-via-negativa description: Use when the reflex is to add a feature, layer, or process. Prefer removing harmful or nonessential elements first, with an irreversibility guard before deletion. disable-model-invocation: true
Improve by subtraction before addition. Prefer removing harm, waste, and nonessential complexity; add only when a demonstrated need remains after removal candidates are exhausted.
1. **Pause the add reflex.** State the goal and the proposed addition in one line. 2. **Ask the subtraction question first.** List what could be removed or stopped to achieve the same goal with less surface area. 3. **Catalog candidates with evidence.** Prefer unused, redundant, high-cost/low-value, or harmful elements. Require usage, call-graph, metrics, or experiment evidence — not taste. 4. **Apply the irreversibility guard.** Classify reversible vs hard-to-restore; identify dependents; refuse deleting unproven mystery guards. Plan staged removal or flag when risk is non-trivial. 5. **Remove the safest high-value candidate first.** Subtract, monitor, and verify absence of needed behavior before the next removal. 6. **Add only if the goal still fails.** If subtraction cannot meet the need, add the minimum change and record why removal was insufficient. 7. **Stop** when the goal is met by absence, or remaining candidates fail the irreversibility/evidence bar and a minimal addition is justified.
**Stop condition:** Goal achieved via removal, or residual need documented after evidence-backed subtraction failed.
Goal: <desired outcome> Proposed add (if any): <thing> Removal candidates: <element — evidence — risk — reversible?> Action: remove <X> | staged remove <X> | add minimal <Y> because <why removal failed> Verification plan: <how absence/success is checked> Do-not-touch: <load-bearing items preserved>
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.
Repo: tjboudreaux/cc-thinking-skills
Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option that clears it.
Use when a specific claim may lack grounding. Check evidence boundary, size wrongness cost, then answer, fetch, or abstain — never confabulate.
When the right response mode is unclear, classify the cause-effect domain first; decompose disorder.
Under genuine uncertainty with no reliable forecast, inventory means, cap downside at affordable loss, act for commitments, and let goals emerge from…
When a constraint is treated as fixed, separate physics from convention, keep only independently supported primitives, and rebuild the simplest solution that…
When a fault is localized and the proximate cause is known but the systemic root is not, chain evidence-linked whys with a counterfactual stop and a…