Agent skill

Idea Tree Team

by openJiuwen-ai in openJiuwen-ai/sciencediscovery

Prepare supplied inputs for autonomous Idea Tree research and explain its saved results.

Apache-2.0Auto-check passed

Install Idea Tree Team

skills CLI
$ npx skills add openJiuwen-ai/sciencediscovery --skill idea-tree-team -a claude-code

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

GitHub CLI
$ gh skill install openJiuwen-ai/sciencediscovery idea-tree-team --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/openJiuwen-ai/sciencediscovery.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/idea-tree-team .claude/skills/idea-tree-team && 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
idea-tree-team
GitHub stars
159
Token cost
~659 tokens
SKILL.md length
347 words
Files
3 (incl. references)
Skills in repo
23
Repo updated
First seen
Licence
Apache-2.0

At a glance

Prepare supplied inputs for autonomous Idea Tree research and explain its saved results.

  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Idea Tree Team is an agent skill from openJiuwen-ai/sciencediscovery. Prepare supplied inputs for autonomous Idea Tree research and explain its saved results.

Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/evaluation-principles.md` and `references/workflow.md`).

The repository describes itself as: ScienceDiscovery is an all‑in‑one agentic workbench built specifically for scientific research. The licence is Apache-2.0.

Example prompts

  • “/idea-tree-team”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit ab1403f. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Idea Tree Team loads about 659 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 26 tokens; SKILL.md has 347 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~659
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from openJiuwen-ai/sciencediscovery at commit ab1403f, republished under its Apache-2.0 licence (© openJiuwen-ai). 347 words, ~659 tokens.

Download SKILL.mdSave it as .claude/skills/idea-tree-team/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
idea-tree-team
description
Prepare supplied inputs for autonomous Idea Tree research and explain its saved results.

Idea Tree Research

Idea Tree is executed by the Python research engine, independently of the Lead conversation. Configure budgets and role prompts in System Settings → Idea Tree. Use /idea-tree <task> or /idea-tree-team <task> in the composer to enter this preparation workflow. An explicit natural-language request for idea-tree or idea-tree-team uses the same workflow. Search and read relevant literature first, then summarize evidence with source references, constraints and uncertainties. Skip retrieval only when the user explicitly requests it or supplied evidence is sufficient. Respect requests to skip retrieval without asking again. Call create_idea_research(objective, materials) after preparation; do not merely describe a plan. After the tool succeeds, report the handoff and finish the turn. Python owns all tree iterations; do not dispatch design or assessment Subagents, run shell to simulate a tree, or poll for completion. Use get_idea_research when the user later asks about progress or results. Objective and prepared materials are backend inputs, not a separate front-end form. Do not create a plan or invoke legacy tree_* tools to execute this workflow.

Before starting, prepare the research objective, explicit constraints and any relevant supplied materials. External retrieval or analysis must be completed before submission; the engine does not search, execute code or dispatch tool-using Subagents. Respect requests to skip retrieval. Without supplied evidence, identify conclusions as hypotheses rather than sourced findings.

Direction nodes organize hypotheses and receive insight from their children; they are not independently designed or scored. Only pending leaves at the configured execution depth run. Later cycles add improved leaves under directions, preserving earlier leaf results.

The engine performs repeated batches of ideation, design, independent activity/stability/ sustainability assessments, aggregation and insight propagation. Existing role prompts can be replaced in Idea Tree settings. Progress, pause, continue and end controls live in the tree panel. Do not restart or continue research merely because a chat message or notification arrives.

Explain saved results in terms of candidate differences, assessment findings, improvements and uncertainties. Do not narrate internal protocol fields. Old trees remain read-only; new research uses the Python engine. A completed research is not experimental verification of its hypotheses.

© openJiuwen-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/idea-tree-team of openJiuwen-ai/sciencediscovery.

  • SKILL.md
  • references/evaluation-principles.md
  • references/workflow.md

Open the folder on GitHubat commit ab1403f

Compare with similar skills

Idea Tree Team 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.

Idea Tree Team compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Idea Tree Team this skillopenJiuwen-ai/sciencediscovery159—~659Automated safety check: PassApache-2.0
Logic Explainsickn33/agentic-awesome-skills47k1 repos~894Automated safety check: PassMIT
Lightning Factory Explainersickn33/agentic-awesome-skills47k2 repos~656Automated safety check: PassMIT
Audit Preparationsickn33/agentic-awesome-skills47k1 repos~5.3kAutomated safety check: PassMIT
Sbom Supply Chainsickn33/agentic-awesome-skills47k2 repos~3.4kAutomated safety check: PassMIT
Idea Darwinsickn33/agentic-awesome-skills47k2 repos~1.1kAutomated safety check: PassMIT

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Questions about Idea Tree Team

What does Idea Tree Team do?

Prepare supplied inputs for autonomous Idea Tree research and explain its saved results. Idea Tree Team is an agent skill from openJiuwen-ai/sciencediscovery. Prepare supplied inputs for autonomous Idea Tree research and explain its saved results.

How do I install Idea Tree Team in Claude Code?

Run `npx skills add openJiuwen-ai/sciencediscovery --skill idea-tree-team -a claude-code`. Or copy the skill folder (skills/idea-tree-team in openJiuwen-ai/sciencediscovery) into .claude/skills/idea-tree-team in your project. Claude Code loads it when a task matches its description.

How do I install Idea Tree Team in Codex?

Run `npx skills add openJiuwen-ai/sciencediscovery --skill idea-tree-team -a codex`. Or copy the skill folder (skills/idea-tree-team in openJiuwen-ai/sciencediscovery) into .agents/skills/idea-tree-team in your project. Codex loads it when a task matches its description.

Can I use Idea Tree Team 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 openJiuwen-ai/sciencediscovery --skill idea-tree-team -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/idea-tree-team, .gemini/skills/idea-tree-team, .github/skills/idea-tree-team and .opencode/skills/idea-tree-team in your project.

What does Idea Tree Team need to run?

SKILL.md names no scripts, command-line tools or credentials: Idea Tree Team is instructions for the agent only. Our summary lists: Python 3.

Does Idea Tree Team 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 Idea Tree Team 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. Review the folder before installing.

What licence does Idea Tree Team use?

Idea Tree Team is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Idea Tree Team use?

About 659 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 704 tokens, read only when the agent opens those files.

What are the alternatives to Idea Tree Team?

Skills that share tags, products or a category with Idea Tree Team: Logic Explain (sickn33/agentic-awesome-skills, 47k stars), Lightning Factory Explainer (sickn33/agentic-awesome-skills, 47k stars), Audit Preparation (sickn33/agentic-awesome-skills, 47k stars) and Sbom Supply Chain (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Idea Tree Team?

openJiuwen-ai (a GitHub organization) maintains it in openJiuwen-ai/sciencediscovery, which has 159 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 10, 2026.

Source: openJiuwen-ai/sciencediscovery on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.