Radar Automation
ComposioHQ/awesome-claude-skills
Automate Radar tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
定时任务:每日研究简报。漏掉重要论文和行业报告?每天帮你盯着,关键信息一条不漏 This skill should be used when the user asks about 定时任务:每日研究简报.
$ npx skills add infometa/workbuddyskills --skill ai-research-radar -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills ai-research-radar --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experts/trend-hunter/skills/ai-research-radar .claude/skills/ai-research-radar && 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 "ai-research-radar" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/trend-hunter/skills/ai-research-radar into .claude/skills/ai-research-radar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-research-radar", 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/infometa/workbuddyskills/tree/main/experts/trend-hunter/skills/ai-research-radarType 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 infometa/workbuddyskills --skill ai-research-radar -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills ai-research-radar --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/experts/trend-hunter/skills/ai-research-radar .agents/skills/ai-research-radar && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-research-radar" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/trend-hunter/skills/ai-research-radar into .agents/skills/ai-research-radar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-research-radar", 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 infometa/workbuddyskills --skill ai-research-radar -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills ai-research-radar --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/experts/trend-hunter/skills/ai-research-radar .cursor/skills/ai-research-radar && 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 "ai-research-radar" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/trend-hunter/skills/ai-research-radar into .cursor/skills/ai-research-radar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-research-radar", 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/infometa/workbuddyskills.git --path experts/trend-hunter/skills/ai-research-radar--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 infometa/workbuddyskills --skill ai-research-radar -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills ai-research-radar --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/experts/trend-hunter/skills/ai-research-radar .gemini/skills/ai-research-radar && 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 "ai-research-radar" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/trend-hunter/skills/ai-research-radar into .gemini/skills/ai-research-radar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-research-radar", 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 infometa/workbuddyskills ai-research-radarInstalls 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 infometa/workbuddyskills --skill ai-research-radar -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/experts/trend-hunter/skills/ai-research-radar .github/skills/ai-research-radar && 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 "ai-research-radar" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/trend-hunter/skills/ai-research-radar into .github/skills/ai-research-radar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-research-radar", 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 infometa/workbuddyskills --skill ai-research-radar -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills ai-research-radar --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/experts/trend-hunter/skills/ai-research-radar .opencode/skills/ai-research-radar && 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 "ai-research-radar" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/trend-hunter/skills/ai-research-radar into .opencode/skills/ai-research-radar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-research-radar", 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.
ai-research-radar定时任务:每日研究简报。漏掉重要论文和行业报告?每天帮你盯着,关键信息一条不漏 This skill should be used when the user asks about 定时任务:每日研究简报.
AI Research Radar is an agent skill from infometa/workbuddyskills. 定时任务:每日研究简报。漏掉重要论文和行业报告?每天帮你盯着,关键信息一条不漏 This skill should be used when the user asks about 定时任务:每日研究简报. Keywords: 每日简报, 研究简报.
Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `_meta.json`, `references/README.md` and `scripts/ai_research_radar_tool.py`).
The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit f05d165. 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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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.
AI Research Radar loads about 438 tokens when it runs, and up to ~461 if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 82 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); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 82 words (~438 tokens).
SKILL.md and 3 other files (scripts, references) in experts/trend-hunter/skills/ai-research-radar of infometa/workbuddyskills.
Open the folder on GitHubat commit f05d165
AI Research Radar 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 |
|---|---|---|---|---|---|---|
| AI Research Radar this skillinfometa/workbuddyskills | 349 | — | ~438 | Automated safety check: Pass | None | |
| Radar AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~723 | Automated safety check: Pass | None | |
| Nexrad Radar Visualizationsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Sanity Radarsanity-io/sanity | 6.4k | — | ~2.9k | Automated safety check: Pass | MIT | |
| Radar Satellite Analysissickn33/agentic-awesome-skills | 47k | 1 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Radarcoreyhaines31/makerskills | 851 | — | ~4k | Automated safety check: Warn | MIT |
ComposioHQ/awesome-claude-skills
Automate Radar tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
sickn33/agentic-awesome-skills
Plot NEXRAD Level II/III site scans and decoded radar mosaics with correct radar geometry, map grids, units, quality masks, timestamps, and provenance.
sanity-io/sanity
Studio Radar, the repo-health dashboard at radar.sanity.dev (source in dev/radar) — what each tool shows, where the data lives, how to query benchRun / gitCommit / gitTag / bisectSession documents…
sickn33/agentic-awesome-skills
Interpret weather radar and satellite observations by validating product metadata and geometry, deriving storm and cloud structures, tracking evolution, and quantifying uncertainty.
coreyhaines31/makerskills
When you want to monitor known sources on a schedule and feed the good stuff into your second brain.
sanity-io/sanity
Investigate a suspected Studio performance regression surfaced by Studio Radar or the bench suite — confirm the signal against host calibration, narrow the commit range, confirm with an A/B…
infometa/workbuddyskills
This skill should be used when planning, coordinating, running, or reviewing student-led campus events, including club recruitment, freshman mixers, welcome activities, small talks, competitions…
infometa/workbuddyskills
K-12 interactive courseware creation. An agent skill from infometa/workbuddyskills.
infometa/workbuddyskills
A skill your agent uses when the adult weight-management MCP needs to be installed/set up in WorkBuddy (connector) or its result must be rendered as a standalone Chinese HTML plan.
infometa/workbuddyskills
A skill your agent uses when the user needs browser automation, including opening web pages, taking screenshots, extracting page content, clicking elements, filling forms, or testing web flows.
infometa/workbuddyskills
Investment banking presentation quality checker. An agent skill from infometa/workbuddyskills.
infometa/workbuddyskills
腾讯云 COS 向量桶全功能管理技能。覆盖向量桶、索引、向量数据的全生命周期管理,包括创建/删除/查询向量桶、创建/管理索引、插入/查询/搜索/删除向量数据、策略管理等 16 个核心能力。Trigger phrases: vector bucket, vector index, vector search, 向量桶, 向量索引, 向量搜索, 向量存储, 插入向量, 相似度搜索, COS…
定时任务:每日研究简报。漏掉重要论文和行业报告?每天帮你盯着,关键信息一条不漏 This skill should be used when the user asks about 定时任务:每日研究简报. AI Research Radar is an agent skill from infometa/workbuddyskills. 定时任务:每日研究简报。漏掉重要论文和行业报告?每天帮你盯着,关键信息一条不漏 This skill should be used when the user asks about 定时任务:每日研究简报.
AI Research Radar fits situations like: asks about 定时任务:每日研究简报.
Run `npx skills add infometa/workbuddyskills --skill ai-research-radar -a claude-code`. Or copy the skill folder (experts/trend-hunter/skills/ai-research-radar in infometa/workbuddyskills) into .claude/skills/ai-research-radar in your project. Claude Code loads it when a task matches its description.
Run `npx skills add infometa/workbuddyskills --skill ai-research-radar -a codex`. Or copy the skill folder (experts/trend-hunter/skills/ai-research-radar in infometa/workbuddyskills) into .agents/skills/ai-research-radar 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 infometa/workbuddyskills --skill ai-research-radar -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-research-radar, .gemini/skills/ai-research-radar, .github/skills/ai-research-radar and .opencode/skills/ai-research-radar in your project.
Going by SKILL.md and its folder, AI Research Radar needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for AI Research Radar or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 438 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. Its references folder adds about 23 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with AI Research Radar: Radar Automation (ComposioHQ/awesome-claude-skills, 77k stars), Nexrad Radar Visualization (sickn33/agentic-awesome-skills, 47k stars), Sanity Radar (sanity-io/sanity, 6.4k stars) and Radar Satellite Analysis (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.
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 349 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 10, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.