PlaygroundCatalog › Decision Tree Solver
DT

Decision Tree Solver

🔵 Stable🕐 updated 2026-09-04 🔷 SkillSpec L3 pm-calculators

Turn a fork-in-the-road decision into a computed expected-value tree — settle or sue, launch or wait, fix or replace — rolled back by the bundled script, with the break-even probability where the answer flips. Use when asked should we settle or go to trial, build a decision tree, what probability makes this worth it, or compare options under uncertainty. Produces the structured tree, the rollback with the best choice at every fork, the break-even probabilities, and the honest list of what the numbers leave out. Decision support, not advice — the probabilities are yours.

▶ Run it free — no key needed 📝 Grade your existing draft View SKILL.md ↗

What to give it

The choices — the real options on the table, including the do-nothing one
The uncertainties — what could happen under each choice, and the requester's honest probability for each (pushing back on false precision is part of the job)
The payoffs and costs — the money (or a stated proxy) at each end point, and what each path costs to walk: fees, time priced honestly, deposits
The stakes context — one-shot or repeatable, and whether the worst branch is survivable — because expected value is the right tool for repeatable bets and needs a caveat for ruinous one-shots

✅ The bar it holds itself to

Every skill in this library self-verifies — these are this skill's own quality checks, straight from its definition.

The tree was read back and corrected before anything was computed
Every path's costs are on the path, not forgotten at the leaves
The break-even scan appears and is compared against the requester's stated belief
Values were stressed, not just probabilities
The leaves-out list names ruin risk explicitly when the worst branch is severe
The recommendation states robustness, not just the EV winner

⚠️ What it refuses to do

**Computing the mis-drawn tree.** Ten minutes of extraction beats any amount of arithmetic on the wrong structure.
**False precision in probabilities.** "About 60%" is honest; "62.5%" from nowhere is decoration — the break-even scan is the cure, since it shows whether the difference even matters.
**EV-maximising a ruinous one-shot.** The tool's cleanest failure mode; the caveat is mandatory, not optional.
**Hiding the arithmetic.** The script prints every node's EV because a recommendation nobody can check convinces nobody who matters.
**Letting the tree end the conversation.** It ends the *circular* part; the values conversation it surfaces is the productive one.

Install

npx pm-claude-skills add --agent claude   # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y pm-claude-skills-mcp

Start with

Related skills

🔌 Embed this skill

Drop this on your blog, docs, or site — it renders a "Run this skill" card:

<div data-pm-skill="decision-tree-solver"></div>
<script src="https://mohitagw15856.github.io/pm-claude-skills/embed.js" async></script>

💬 Discussion

Decision Tree Solver is one of 1174 open-source professional AI agent skills — all SkillSpec L3. Try them all in the browser · ⭐ Star on GitHub · Browse the full catalog