Logic Explain
sickn33/agentic-awesome-skills
Explain what a specific piece of code actually does for a given input by producing a step-by-step execution trace (interprocedural, with name resolution and type transitions).
Prepare supplied inputs for autonomous Idea Tree research and explain its saved results.
$ npx skills add openJiuwen-ai/sciencediscovery --skill idea-tree-team -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openJiuwen-ai/sciencediscovery idea-tree-team --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "idea-tree-team" agent skill from https://github.com/openJiuwen-ai/sciencediscovery/tree/main/skills/idea-tree-team into .claude/skills/idea-tree-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-tree-team", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/openJiuwen-ai/sciencediscovery/tree/main/skills/idea-tree-teamType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add openJiuwen-ai/sciencediscovery --skill idea-tree-team -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openJiuwen-ai/sciencediscovery idea-tree-team --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openJiuwen-ai/sciencediscovery.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/idea-tree-team .agents/skills/idea-tree-team && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "idea-tree-team" agent skill from https://github.com/openJiuwen-ai/sciencediscovery/tree/main/skills/idea-tree-team into .agents/skills/idea-tree-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-tree-team", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openJiuwen-ai/sciencediscovery --skill idea-tree-team -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openJiuwen-ai/sciencediscovery idea-tree-team --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openJiuwen-ai/sciencediscovery.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/idea-tree-team .cursor/skills/idea-tree-team && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "idea-tree-team" agent skill from https://github.com/openJiuwen-ai/sciencediscovery/tree/main/skills/idea-tree-team into .cursor/skills/idea-tree-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-tree-team", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/openJiuwen-ai/sciencediscovery.git --path skills/idea-tree-team--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add openJiuwen-ai/sciencediscovery --skill idea-tree-team -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openJiuwen-ai/sciencediscovery idea-tree-team --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openJiuwen-ai/sciencediscovery.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/idea-tree-team .gemini/skills/idea-tree-team && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "idea-tree-team" agent skill from https://github.com/openJiuwen-ai/sciencediscovery/tree/main/skills/idea-tree-team into .gemini/skills/idea-tree-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-tree-team", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install openJiuwen-ai/sciencediscovery idea-tree-teamInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add openJiuwen-ai/sciencediscovery --skill idea-tree-team -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openJiuwen-ai/sciencediscovery.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/idea-tree-team .github/skills/idea-tree-team && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "idea-tree-team" agent skill from https://github.com/openJiuwen-ai/sciencediscovery/tree/main/skills/idea-tree-team into .github/skills/idea-tree-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-tree-team", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openJiuwen-ai/sciencediscovery --skill idea-tree-team -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openJiuwen-ai/sciencediscovery idea-tree-team --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openJiuwen-ai/sciencediscovery.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/idea-tree-team .opencode/skills/idea-tree-team && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "idea-tree-team" agent skill from https://github.com/openJiuwen-ai/sciencediscovery/tree/main/skills/idea-tree-team into .opencode/skills/idea-tree-team/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-tree-team", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
idea-tree-teamPrepare 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.
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.
Read from SKILL.md and the folder at commit ab1403f. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from openJiuwen-ai/sciencediscovery at commit ab1403f, republished under its Apache-2.0 licence (© openJiuwen-ai). 347 words, ~659 tokens.
.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.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
SKILL.md and 2 other files (references) in skills/idea-tree-team of openJiuwen-ai/sciencediscovery.
Open the folder on GitHubat commit ab1403f
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Idea Tree Team this skillopenJiuwen-ai/sciencediscovery | 159 | — | ~659 | Automated safety check: Pass | Apache-2.0 | |
| Logic Explainsickn33/agentic-awesome-skills | 47k | 1 repos | ~894 | Automated safety check: Pass | MIT | |
| Lightning Factory Explainersickn33/agentic-awesome-skills | 47k | 2 repos | ~656 | Automated safety check: Pass | MIT | |
| Audit Preparationsickn33/agentic-awesome-skills | 47k | 1 repos | ~5.3k | Automated safety check: Pass | MIT | |
| Sbom Supply Chainsickn33/agentic-awesome-skills | 47k | 2 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Idea Darwinsickn33/agentic-awesome-skills | 47k | 2 repos | ~1.1k | Automated safety check: Pass | MIT |
sickn33/agentic-awesome-skills
Explain what a specific piece of code actually does for a given input by producing a step-by-step execution trace (interprocedural, with name resolution and type transitions).
sickn33/agentic-awesome-skills
Explain Bitcoin Lightning channel factories and the SuperScalar protocol — scalable Lightning onboarding using shared UTXOs, Decker-Wattenhofer trees, timeout-signature trees, MuSig2, and Taproot.
sickn33/agentic-awesome-skills
Audit preparation register: required document, period covered, request and receipt dates, preparer and reviewer, auditor queries and adjustments.
sickn33/agentic-awesome-skills
Generate, sign, and verify SBOMs and provenance attestations to secure the software supply chain.
sickn33/agentic-awesome-skills
Darwinian idea evolution engine — toss rough ideas onto an evolution island, let them compete, crossbreed, and mutate through structured rounds to surface your strongest concepts.
nexu-io/open-design
Prepare required media inputs within an existing OD Next plan.
openJiuwen-ai/sciencediscovery
A skill your agent uses when you need to write and execute Python/R code to process, transform, and analyze data, delivering reproducible computational results with complete code-level methodology…
openJiuwen-ai/sciencediscovery
Operate GitCode issues, PRs, wikis, code/MR refs, and cached org templates.
openJiuwen-ai/sciencediscovery
Inspect a local PDB structure, summarize chains and residue composition, and identify protein atoms near a user-specified ligand or pocket center.
openJiuwen-ai/sciencediscovery
Prepare, launch, monitor, and summarize the real RFdiffusion to ProteinMPNN to Protenix antibody pipeline on a local or remote ScienceDiscovery Runner with sandboxed Ascend NPUs.
openJiuwen-ai/sciencediscovery
A skill your agent uses to orchestrate a multi-domain research team for literature/evidence research and data analysis.
openJiuwen-ai/sciencediscovery
A skill your agent uses when a research workflow needs verified academic source retrieval through literature-search MCP interfaces available in the current session before evidence extraction.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Idea Tree Team is instructions for the agent only. Our summary lists: Python 3.
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.
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.
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.
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.
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.
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.