Wasm Compatibility
ericmjl/llamabot
Check if a marimo notebook is compatible with WebAssembly (WASM) and report any issues.
marimoダッシュボード・プロジェクト進捗可視化に使用. An agent skill from minicoohei/ai-agent-camp.
$ npx skills add minicoohei/ai-agent-camp --skill monitoring-dashboard -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install minicoohei/ai-agent-camp monitoring-dashboard --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/minicoohei/ai-agent-camp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/monitoring-dashboard .claude/skills/monitoring-dashboard && 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 "monitoring-dashboard" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/monitoring-dashboard into .claude/skills/monitoring-dashboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monitoring-dashboard", 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/minicoohei/ai-agent-camp/tree/main/skills/monitoring-dashboardType 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 minicoohei/ai-agent-camp --skill monitoring-dashboard -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install minicoohei/ai-agent-camp monitoring-dashboard --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/monitoring-dashboard .agents/skills/monitoring-dashboard && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "monitoring-dashboard" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/monitoring-dashboard into .agents/skills/monitoring-dashboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monitoring-dashboard", 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 minicoohei/ai-agent-camp --skill monitoring-dashboard -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install minicoohei/ai-agent-camp monitoring-dashboard --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/monitoring-dashboard .cursor/skills/monitoring-dashboard && 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 "monitoring-dashboard" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/monitoring-dashboard into .cursor/skills/monitoring-dashboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monitoring-dashboard", 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/minicoohei/ai-agent-camp.git --path skills/monitoring-dashboard--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 minicoohei/ai-agent-camp --skill monitoring-dashboard -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install minicoohei/ai-agent-camp monitoring-dashboard --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/monitoring-dashboard .gemini/skills/monitoring-dashboard && 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 "monitoring-dashboard" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/monitoring-dashboard into .gemini/skills/monitoring-dashboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monitoring-dashboard", 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 minicoohei/ai-agent-camp monitoring-dashboardInstalls 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 minicoohei/ai-agent-camp --skill monitoring-dashboard -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/monitoring-dashboard .github/skills/monitoring-dashboard && 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 "monitoring-dashboard" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/monitoring-dashboard into .github/skills/monitoring-dashboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monitoring-dashboard", 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 minicoohei/ai-agent-camp --skill monitoring-dashboard -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install minicoohei/ai-agent-camp monitoring-dashboard --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minicoohei/ai-agent-camp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/monitoring-dashboard .opencode/skills/monitoring-dashboard && 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 "monitoring-dashboard" agent skill from https://github.com/minicoohei/ai-agent-camp/tree/main/skills/monitoring-dashboard into .opencode/skills/monitoring-dashboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "monitoring-dashboard", 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.
monitoring-dashboardmarimoダッシュボード・プロジェクト進捗可視化に使用. An agent skill from minicoohei/ai-agent-camp.
Monitoring Dashboard is an agent skill from minicoohei/ai-agent-camp. marimoダッシュボード・プロジェクト進捗可視化に使用。 「ダッシュボードを作って」「進捗を可視化して」「テスト結果を表示して」等のリクエストで発動。
Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `SKILL.en.md`, `SKILL.es.md` and `agents/openai.yaml`).
It sits in Data & Analytics, covering Jupyter notebooks. It works with marimo. The repository describes itself as: AI Agent Camp — non-engineer-friendly AI agent training curriculum. Lessons, skills, commands, and hooks for Claude Code, Cursor, and Codex.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 048ba4c. 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:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, 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.
Monitoring Dashboard loads about 706 tokens when it runs. Until then it costs about 24 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); 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 94 words (~706 tokens).
SKILL.md and 4 other files (scripts) in skills/monitoring-dashboard of minicoohei/ai-agent-camp.
Open the folder on GitHubat commit 048ba4c
Monitoring Dashboard 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 |
|---|---|---|---|---|---|---|
| Monitoring Dashboard this skillminicoohei/ai-agent-camp | 347 | — | ~706 | Automated safety check: Pass | None | |
| Wasm Compatibilityericmjl/llamabot | 183 | 2 repos | ~1.6k | Automated safety check: Pass | None | |
| Marimo Paircosanlab/nltools | 131 | 1 repos | ~3k | Automated safety check: Pass | MIT | |
| Marimo Notebookcosanlab/nltools | 131 | 4 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Marimo Batchkoaning/gitcharts | 145 | 1 repos | ~819 | Automated safety check: Notes | None | |
| Marimo PairPhySpace/SimpleCADAPI | 142 | — | ~3k | Automated safety check: Pass | Apache-2.0 |
ericmjl/llamabot
Check if a marimo notebook is compatible with WebAssembly (WASM) and report any issues.
cosanlab/nltools
Work inside a running marimo notebook's kernel — execute code, create cells, and build a notebook as an artifact.
cosanlab/nltools
Write a marimo notebook in a Python file in the right format.
koaning/gitcharts
An opintionated skill to prepare a marimo notebook to make it ready for a scheduled run.
PhySpace/SimpleCADAPI
Drive a live marimo notebook as a workspace: run Python in the same kernel the user does, inspect live notebook state, and commit durable notebook changes.
marimo-team/marimo-lsp
Drive a live marimo notebook in VS Code as a workspace: run Python in the same kernel the user does, inspect and explore live notebook state and data, prototype and debug code, and commit durable…
minicoohei/ai-agent-camp
200以上のファイル形式に対応した探索的データ分析(EDA)スキル. An agent skill from minicoohei/ai-agent-camp.
minicoohei/ai-agent-camp
コンテンツのA/Bテスト・自己改善ループを支援するプランナースキル. An agent skill from minicoohei/ai-agent-camp.
minicoohei/ai-agent-camp
TikTok/YouTube向け動画編集スキル。ffmpegでキャプション焼き込み、 Ken Burnsエフェクト、シーン結合、音声合成を行う。
minicoohei/ai-agent-camp
テーマからアウトライン生成→文体プロファイル適用→Markdown記事出力を行う記事執筆スキル. An agent skill from minicoohei/ai-agent-camp.
minicoohei/ai-agent-camp
各種SNS・広告プラットフォーム向けのバナー/クリエイティブを生成するスキル. An agent skill from minicoohei/ai-agent-camp.
minicoohei/ai-agent-camp
メールとSlackから返信すべき項目・タスクを抽出する統合型スキル. An agent skill from minicoohei/ai-agent-camp.
Works with
Categories
marimoダッシュボード・プロジェクト進捗可視化に使用. An agent skill from minicoohei/ai-agent-camp. Monitoring Dashboard is an agent skill from minicoohei/ai-agent-camp.
Monitoring Dashboard fits situations like: tasks that involve Jupyter notebooks.
Run `npx skills add minicoohei/ai-agent-camp --skill monitoring-dashboard -a claude-code`. Or copy the skill folder (skills/monitoring-dashboard in minicoohei/ai-agent-camp) into .claude/skills/monitoring-dashboard in your project. Claude Code loads it when a task matches its description.
Run `npx skills add minicoohei/ai-agent-camp --skill monitoring-dashboard -a codex`. Or copy the skill folder (skills/monitoring-dashboard in minicoohei/ai-agent-camp) into .agents/skills/monitoring-dashboard 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 minicoohei/ai-agent-camp --skill monitoring-dashboard -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/monitoring-dashboard, .gemini/skills/monitoring-dashboard, .github/skills/monitoring-dashboard and .opencode/skills/monitoring-dashboard in your project.
Going by SKILL.md and its folder, Monitoring Dashboard needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use uv, 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 Monitoring Dashboard or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 706 tokens (SKILL.md is roughly 2.8k 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 Monitoring Dashboard: Wasm Compatibility (ericmjl/llamabot, 183 stars), Marimo Pair (cosanlab/nltools, 131 stars), Marimo Notebook (cosanlab/nltools, 131 stars) and Marimo Batch (koaning/gitcharts, 145 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
minicoohei (a GitHub user) maintains it in minicoohei/ai-agent-camp, which has 347 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on October 7, 2026.
Source: minicoohei/ai-agent-camp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.