Agent skill

Decision Trees

by sundial-org in sundial-org/awesome-openclaw-skills

Decision tree analysis for complex decision-making across all domains.

No licenceAuto-check passedProduct & Project Management

Install Decision Trees

skills CLI
$ npx skills add sundial-org/awesome-openclaw-skills --skill decision-trees -a claude-code

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

GitHub CLI
$ gh skill install sundial-org/awesome-openclaw-skills decision-trees --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/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/decision-trees .claude/skills/decision-trees && 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
decision-trees
GitHub stars
663
Token cost
~2.2k tokens
SKILL.md length
809 words
Files
3 (incl. scripts)
Skills in repo
383
Repo updated
First seen
Licence
None found

At a glance

Decision tree analysis for complex decision-making across all domains.

  • Works in 5 steps: Structuring → Probability Estimation → Visualization → …
  • User needs to evaluate multiple options with uncertain outcomes
  • SKILL.md covers When to Use, Method, Formula and Classic Example (from Wikipedia), plus 10 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Decision Trees is an agent skill from sundial-org/awesome-openclaw-skills. Decision tree analysis for complex decision-making across all domains. Use when user needs to evaluate multiple options with uncertain outcomes, assess risk/reward scenarios, or structure choices systematically. Applicable to business, investment, personal decisions, operations, career choices, product strategy, and any situation requiring structured evaluation. Triggers include decision tree, should I, what if, evaluate options, compare alternatives, risk analysis.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `README.md` and `scripts/decision_tree.py`).

It sits in Product & Project Management, covering Product strategy. The repository describes itself as: Top OpenClaw skills, with the most popular and useful ones.

When your agent uses it

  • User needs to evaluate multiple options with uncertain outcomes
  • Assess risk/reward scenarios
  • Structure choices systematically
  • Include decision tree

Example prompts

  • “/decision-trees”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Structuring
  2. Probability Estimation
  3. Visualization
  4. EV Calculation
  5. Recommendation

What it can do on your machine

Read from SKILL.md and the folder at commit b80cde2. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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

Decision Trees loads about 2.2k tokens when it runs. Until then it costs about 121 tokens; SKILL.md has 809 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~121
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 809 words (~2,194 tokens).

“Decision tree analysis: a visual tool for making decisions with probabilities and expected value.”

— opening of SKILL.md by sundial-org
name
decision-trees

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (scripts) in skills/decision-trees of sundial-org/awesome-openclaw-skills.

  • SKILL.md
  • README.md
  • scripts/decision_tree.py

Open the folder on GitHubat commit b80cde2

Compare with similar skills

Decision Trees 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.

Decision Trees compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Decision Trees this skillsundial-org/awesome-openclaw-skills663—~2.2kAutomated safety check: PassNone
Game Changing FeaturesopenstatusHQ/data-table-filters2.3k3 repos~2.1kAutomated safety check: PassMIT
Organic Growth Path Advisordeanpeters/Product-Manager-Skills7.2k2 repos~5.2kAutomated safety check: PassCustom licence
Product Strategistalirezarezvani/claude-skills28k2 repos~1.8kAutomated safety check: PassMIT
PlaidBuildGreatProducts/plaid218—~1.6kAutomated safety check: PassMIT
Product Competitive AnalysisFokkyp/claude-skills226—~1.2kAutomated safety check: PassNone

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Questions about Decision Trees

What does Decision Trees do?

Decision tree analysis for complex decision-making across all domains. Decision Trees is an agent skill from sundial-org/awesome-openclaw-skills. Decision tree analysis for complex decision-making across all domains.

When should I use Decision Trees?

Decision Trees fits situations like: user needs to evaluate multiple options with uncertain outcomes; assess risk/reward scenarios; structure choices systematically; include decision tree.

How do I install Decision Trees in Claude Code?

Run `npx skills add sundial-org/awesome-openclaw-skills --skill decision-trees -a claude-code`. Or copy the skill folder (skills/decision-trees in sundial-org/awesome-openclaw-skills) into .claude/skills/decision-trees in your project. Claude Code loads it when a task matches its description.

How do I install Decision Trees in Codex?

Run `npx skills add sundial-org/awesome-openclaw-skills --skill decision-trees -a codex`. Or copy the skill folder (skills/decision-trees in sundial-org/awesome-openclaw-skills) into .agents/skills/decision-trees in your project. Codex loads it when a task matches its description.

Can I use Decision Trees 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 sundial-org/awesome-openclaw-skills --skill decision-trees -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/decision-trees, .gemini/skills/decision-trees, .github/skills/decision-trees and .opencode/skills/decision-trees in your project.

What does Decision Trees need to run?

Going by SKILL.md and its folder, Decision Trees needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Decision Trees 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 Decision Trees 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Decision Trees use?

No licence was found for Decision Trees or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Decision Trees use?

About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Decision Trees?

Skills that share tags, products or a category with Decision Trees: Game Changing Features (openstatusHQ/data-table-filters, 2.3k stars), Organic Growth Path Advisor (deanpeters/Product-Manager-Skills, 7.2k stars), Product Strategist (alirezarezvani/claude-skills, 28k stars) and Plaid (BuildGreatProducts/plaid, 218 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Decision Trees?

sundial-org (a GitHub organization) maintains it in sundial-org/awesome-openclaw-skills, which has 663 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on March 7, 2026.

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