Mq Variational Training
mindspore-ai/mindquantum
Build and train variational quantum algorithms (VQE, QAOA, QML, QNN) with MindQuantum.
查询全球任意城市的实时天气和未来天气预报。当用户提到天气、气温、降雨、湿度、风力、穿衣建议、出行建议等天气相关话题时使用此技能。支持中英文城市名。例如:'北京天气怎么样'、'明天上海会下雨吗'、'Tokyo weather forecast'、'这周末适合户外活动吗'。
$ npx skills add AgentTeam-TaichuAI/ScienceClaw --skill weather -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw weather --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/Skills/weather .claude/skills/weather && 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 "weather" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/Skills/weather into .claude/skills/weather/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather", 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/Skills/weatherType 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 weather -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw weather --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/Skills/weather .agents/skills/weather && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "weather" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/Skills/weather into .agents/skills/weather/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather", 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 weather -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw weather --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/Skills/weather .cursor/skills/weather && 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 "weather" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/Skills/weather into .cursor/skills/weather/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather", 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 Skills/weather--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 weather -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw weather --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/Skills/weather .gemini/skills/weather && 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 "weather" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/Skills/weather into .gemini/skills/weather/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather", 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 weatherInstalls 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 weather -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/Skills/weather .github/skills/weather && 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 "weather" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/Skills/weather into .github/skills/weather/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather", 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 weather -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 weather --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/Skills/weather .opencode/skills/weather && 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 "weather" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/Skills/weather into .opencode/skills/weather/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weather", 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.
weather查询全球任意城市的实时天气和未来天气预报。当用户提到天气、气温、降雨、湿度、风力、穿衣建议、出行建议等天气相关话题时使用此技能。支持中英文城市名。例如:'北京天气怎么样'、'明天上海会下雨吗'、'Tokyo weather forecast'、'这周末适合户外活动吗'。
Weather is an agent skill from AgentTeam-TaichuAI/ScienceClaw. 查询全球任意城市的实时天气和未来天气预报。当用户提到天气、气温、降雨、湿度、风力、穿衣建议、出行建议等天气相关话题时使用此技能。支持中英文城市名。例如:'北京天气怎么样'、'明天上海会下雨吗'、'Tokyo weather forecast'、'这周末适合户外活动吗'。
Its SKILL.md is about 450 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. 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…
5 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:
curlFrom 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:
geocoding-api.open-meteo.comapi.open-meteo.comFrom 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.
Weather loads about 448 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 94 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 94 words (~448 tokens).
“使用免费的 Open-Meteo API 查询实时天气和 7 天预报,无需 API Key。”
Just SKILL.md in Skills/weather of AgentTeam-TaichuAI/ScienceClaw.
Open the folder on GitHubat commit 3817e56
Weather 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 |
|---|---|---|---|---|---|---|
| Weather this skillAgentTeam-TaichuAI/ScienceClaw | 671 | — | ~448 | Automated safety check: Pass | None | |
| Mq Variational Trainingmindspore-ai/mindquantum | 102 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Pixi Environment Builderxuzhougeng/wisp-science | 1k | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 | |
| Bio Imaging Mass Cytometry Cell SegmentationFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~1.7k | Automated safety check: Pass | None | |
| Umap Tsne Analysisaipoch/medical-research-skills | 1.9k | — | ~2.7k | Automated safety check: Pass | MIT | |
| Genimlaipoch/medical-research-skills | 1.9k | — | ~1.9k | Automated safety check: Pass | MIT |
mindspore-ai/mindquantum
Build and train variational quantum algorithms (VQE, QAOA, QML, QNN) with MindQuantum.
xuzhougeng/wisp-science
A skill your agent uses when creating, migrating, or debugging pixi environments, especially for scientific Python, bioinformatics, single-cell analysis, CUDA/PyTorch, Jupyter/VS Code kernels…
FreedomIntelligence/OpenClaw-Medical-Skills
Cell segmentation from multiplexed tissue images. An agent skill from FreedomIntelligence/OpenClaw-Medical-Skills.
aipoch/medical-research-skills
A skill your agent uses when performing sample-level dimensionality reduction and visualization on abundance or OTU-style matrices with a companion group file, generating UMAP and/or t-SNE…
aipoch/medical-research-skills
Machine learning toolkit for genomic interval (BED) data; use it when you need to tokenize BED collections and train embeddings for regions/cells/labels, build consensus peak universes, or run…
aipoch/medical-research-skills
Analyze data with smiles-de-salter using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
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.
查询全球任意城市的实时天气和未来天气预报。当用户提到天气、气温、降雨、湿度、风力、穿衣建议、出行建议等天气相关话题时使用此技能。支持中英文城市名。例如:'北京天气怎么样'、'明天上海会下雨吗'、'Tokyo weather forecast'、'这周末适合户外活动吗'。. Weather is an agent skill from AgentTeam-TaichuAI/ScienceClaw.
Weather fits situations like: research & Science work in your project.
Run `npx skills add AgentTeam-TaichuAI/ScienceClaw --skill weather -a claude-code`. Or copy the skill folder (Skills/weather in AgentTeam-TaichuAI/ScienceClaw) into .claude/skills/weather in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AgentTeam-TaichuAI/ScienceClaw --skill weather -a codex`. Or copy the skill folder (Skills/weather in AgentTeam-TaichuAI/ScienceClaw) into .agents/skills/weather 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 weather -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weather, .gemini/skills/weather, .github/skills/weather and .opencode/skills/weather in your project.
Going by SKILL.md and its folder, Weather needs the command-line tools its instructions call (curl).
SKILL.md names 2 domains. In commands or code: geocoding-api.open-meteo.com and api.open-meteo.com; the agent is likely to contact these 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 Weather or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 448 tokens (SKILL.md is roughly 1.8k 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 Weather: Mq Variational Training (mindspore-ai/mindquantum, 102 stars), Pixi Environment Builder (xuzhougeng/wisp-science, 1k stars), Bio Imaging Mass Cytometry Cell Segmentation (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k stars) and Umap Tsne Analysis (aipoch/medical-research-skills, 1.9k 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.