Research Writing Skill
zLanqing/codex-claude-academic-skills
Chinese-first research paper writing, revision, polishing, section drafting, rebuttal, peer-review response, thesis prose improvement, and manuscript argument planning.
MANDATORY: When a user asks to install, find, search, or add ANY skill (e.g.
$ npx skills add AgentTeam-TaichuAI/ScienceClaw --skill find-skills -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw find-skills --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/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ScienceClaw/backend/builtin_skills/find-skills .claude/skills/find-skills && 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 "find-skills" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_skills/find-skills into .claude/skills/find-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "find-skills", 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/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_skills/find-skillsType 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 AgentTeam-TaichuAI/ScienceClaw --skill find-skills -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw find-skills --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ScienceClaw/backend/builtin_skills/find-skills .agents/skills/find-skills && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "find-skills" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_skills/find-skills into .agents/skills/find-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "find-skills", 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 AgentTeam-TaichuAI/ScienceClaw --skill find-skills -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw find-skills --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ScienceClaw/backend/builtin_skills/find-skills .cursor/skills/find-skills && 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 "find-skills" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_skills/find-skills into .cursor/skills/find-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "find-skills", 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/AgentTeam-TaichuAI/ScienceClaw.git --path ScienceClaw/backend/builtin_skills/find-skills--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 AgentTeam-TaichuAI/ScienceClaw --skill find-skills -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw find-skills --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ScienceClaw/backend/builtin_skills/find-skills .gemini/skills/find-skills && 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 "find-skills" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_skills/find-skills into .gemini/skills/find-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "find-skills", 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 AgentTeam-TaichuAI/ScienceClaw find-skillsInstalls 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 AgentTeam-TaichuAI/ScienceClaw --skill find-skills -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/ScienceClaw/backend/builtin_skills/find-skills .github/skills/find-skills && 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 "find-skills" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_skills/find-skills into .github/skills/find-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "find-skills", 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 AgentTeam-TaichuAI/ScienceClaw --skill find-skills -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw find-skills --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ScienceClaw/backend/builtin_skills/find-skills .opencode/skills/find-skills && 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 "find-skills" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_skills/find-skills into .opencode/skills/find-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "find-skills", 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.
find-skillsMANDATORY: When a user asks to install, find, search, or add ANY skill (e.g.
Find Skills is an agent skill from AgentTeam-TaichuAI/ScienceClaw. MANDATORY: When a user asks to install, find, search, or add ANY skill (e.g. 'install hello-world skill', 'find a skill for X', 'add a skill'), you MUST first run skills find <query to search the skills ecosystem. NEVER create a skill from scratch without searching first. Even if the name sounds simple, always search — it may already exist as a published skill.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Skill authoring. The repository describes itself as: ScienceClaw is a personal research assistant built with LangChain DeepAgents and AIO Sandbox infrastructure, adopting a completely new architecture beyond OpenClaw. It offers…
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 3817e56. 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.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
skills.shFrom 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.
Find Skills loads about 2k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 975 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 975 words (~1,965 tokens).
“This skill helps you discover and install skills from the open agent skills ecosystem.”
Just SKILL.md in ScienceClaw/backend/builtin_skills/find-skills of AgentTeam-TaichuAI/ScienceClaw.
Open the folder on GitHubat commit 3817e56
Find Skills 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 |
|---|---|---|---|---|---|---|
| Find Skills this skillAgentTeam-TaichuAI/ScienceClaw | 671 | — | ~2k | Automated safety check: Pass | None | |
| Research Writing SkillzLanqing/codex-claude-academic-skills | 4.7k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Paper Auditbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Prediction Report WriterNVIDIA-AI-Blueprints/deep-researcher-agent | 886 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Nuwa Thinking-Style Skill Builderalchaincyf/nuwa-skill | 34k | — | ~4.6k | Automated safety check: Pass | MIT | |
| Skillforgetripleyak/SkillForge | 906 | — | ~2.3k | Automated safety check: Notes | MIT |
zLanqing/codex-claude-academic-skills
Chinese-first research paper writing, revision, polishing, section drafting, rebuttal, peer-review response, thesis prose improvement, and manuscript argument planning.
brycewang-stanford/Auto-Empirical-Research-Skills
Deep-review-first audit for Chinese and English academic papers across LaTeX, Typst, and PDF formats.
NVIDIA-AI-Blueprints/deep-researcher-agent
A skill your agent uses when the final answer strategy calls for a prediction, forecast, probability estimate, price target, expected value, threshold outcome, scenario outlook, or prediction-style…
alchaincyf/nuwa-skill
Researches a person or theme and distills how they think into a runnable persona skill with mental models, decision rules and a characteristic voice.
tripleyak/SkillForge
A skill your agent uses when creating, improving, finding, or auditing agent skills - the user says 'create a skill', 'do I have a skill for X', 'improve the X skill', 'which skill should I use'…
aiming-lab/AutoResearchClaw
Diagnoses where an agent failed across runs and turns the findings into new skills, system prompt patches and knowledge entries, using the A-Evolve loop.
AgentTeam-TaichuAI/ScienceClaw
Read and search GitHub repository documentation via gitmcp.io MCP service.
AgentTeam-TaichuAI/ScienceClaw
Create new skills, modify and improve existing skills, and measure skill performance.
AgentTeam-TaichuAI/ScienceClaw
Use this skill any time a .pptx file is involved — as input, output, or both.
AgentTeam-TaichuAI/ScienceClaw
多源深度调研与专业报告生成。适用场景广泛——只要用户的问题涉及需要深度分析的专业话题,就应使用此技能。包括但不限于:(1) 用户明确要求调研/research/综述/报告/发现;(2) 用户提出一个技术或科学话题,话题复杂度需要多源深度分析;(3) 用户要求对比多种技术方案的优劣;(4) 涉及生物医药、蛋白质、基因、药物靶点等需要专业数据库支撑的问题。核心能力:根据问题性质自动组合 arXiv…
AgentTeam-TaichuAI/ScienceClaw
自动配置飞书机器人应用。当用户要求配置飞书、创建飞书机器人、接入 Lark/飞书、设置飞书 appid/appsecret、或询问如何配置飞书 IM 时触发此 skill。该 skill 通过 sandbox 内置浏览器自动完成飞书开放平台上的应用创建、权限配置、事件订阅和发布,用户仅需扫码登录。
AgentTeam-TaichuAI/ScienceClaw
Create new tools or upgrade existing tools for the agent. An agent skill from AgentTeam-TaichuAI/ScienceClaw.
MANDATORY: When a user asks to install, find, search, or add ANY skill (e.g. Find Skills is an agent skill from AgentTeam-TaichuAI/ScienceClaw.g.
Find Skills fits situations like: tasks that involve Skill authoring.
Run `npx skills add AgentTeam-TaichuAI/ScienceClaw --skill find-skills -a claude-code`. Or copy the skill folder (ScienceClaw/backend/builtin_skills/find-skills in AgentTeam-TaichuAI/ScienceClaw) into .claude/skills/find-skills in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AgentTeam-TaichuAI/ScienceClaw --skill find-skills -a codex`. Or copy the skill folder (ScienceClaw/backend/builtin_skills/find-skills in AgentTeam-TaichuAI/ScienceClaw) into .agents/skills/find-skills 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 AgentTeam-TaichuAI/ScienceClaw --skill find-skills -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/find-skills, .gemini/skills/find-skills, .github/skills/find-skills and .opencode/skills/find-skills in your project.
Going by SKILL.md and its folder, Find Skills needs the command-line tools its instructions call (npx). Our summary lists: Node.js; Docker.
SKILL.md names 1 domain. In commands or code: skills.sh; the agent is likely to contact it when it follows the instructions. 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.
No licence was found for Find Skills or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Find Skills: Research Writing Skill (zLanqing/codex-claude-academic-skills, 4.7k stars), Paper Audit (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars), Prediction Report Writer (NVIDIA-AI-Blueprints/deep-researcher-agent, 886 stars) and Nuwa Thinking-Style Skill Builder (alchaincyf/nuwa-skill, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AgentTeam-TaichuAI (a GitHub user) maintains it in AgentTeam-TaichuAI/ScienceClaw, which has 671 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on May 9, 2026.
Source: AgentTeam-TaichuAI/ScienceClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.