Code Review Checklist
shareAI-lab/learn-claude-code
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Transforms JavaScript ECharts options and demos into Python dictionary configurations compatible with streamlit-echarts.
No licenceAuto-check passed
Install JS Echarts To Streamlit
$ npx skills add andfanilo/streamlit-echarts-demo --skill js-echarts-to-streamlit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install andfanilo/streamlit-echarts-demo js-echarts-to-streamlit --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/andfanilo/streamlit-echarts-demo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/js-echarts-to-streamlit .claude/skills/js-echarts-to-streamlit && 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 "js-echarts-to-streamlit" agent skill from https://github.com/andfanilo/streamlit-echarts-demo/tree/master/.claude/skills/js-echarts-to-streamlit into .claude/skills/js-echarts-to-streamlit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "js-echarts-to-streamlit", 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/andfanilo/streamlit-echarts-demo/tree/master/.claude/skills/js-echarts-to-streamlitType 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 andfanilo/streamlit-echarts-demo --skill js-echarts-to-streamlit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install andfanilo/streamlit-echarts-demo js-echarts-to-streamlit --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/andfanilo/streamlit-echarts-demo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/js-echarts-to-streamlit .agents/skills/js-echarts-to-streamlit && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "js-echarts-to-streamlit" agent skill from https://github.com/andfanilo/streamlit-echarts-demo/tree/master/.claude/skills/js-echarts-to-streamlit into .agents/skills/js-echarts-to-streamlit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "js-echarts-to-streamlit", 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 andfanilo/streamlit-echarts-demo --skill js-echarts-to-streamlit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install andfanilo/streamlit-echarts-demo js-echarts-to-streamlit --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/andfanilo/streamlit-echarts-demo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/js-echarts-to-streamlit .cursor/skills/js-echarts-to-streamlit && 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 "js-echarts-to-streamlit" agent skill from https://github.com/andfanilo/streamlit-echarts-demo/tree/master/.claude/skills/js-echarts-to-streamlit into .cursor/skills/js-echarts-to-streamlit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "js-echarts-to-streamlit", 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/andfanilo/streamlit-echarts-demo.git --path .claude/skills/js-echarts-to-streamlit--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 andfanilo/streamlit-echarts-demo --skill js-echarts-to-streamlit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install andfanilo/streamlit-echarts-demo js-echarts-to-streamlit --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/andfanilo/streamlit-echarts-demo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/js-echarts-to-streamlit .gemini/skills/js-echarts-to-streamlit && 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 "js-echarts-to-streamlit" agent skill from https://github.com/andfanilo/streamlit-echarts-demo/tree/master/.claude/skills/js-echarts-to-streamlit into .gemini/skills/js-echarts-to-streamlit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "js-echarts-to-streamlit", 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 andfanilo/streamlit-echarts-demo js-echarts-to-streamlitInstalls 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 andfanilo/streamlit-echarts-demo --skill js-echarts-to-streamlit -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/andfanilo/streamlit-echarts-demo.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/js-echarts-to-streamlit .github/skills/js-echarts-to-streamlit && 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 "js-echarts-to-streamlit" agent skill from https://github.com/andfanilo/streamlit-echarts-demo/tree/master/.claude/skills/js-echarts-to-streamlit into .github/skills/js-echarts-to-streamlit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "js-echarts-to-streamlit", 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 andfanilo/streamlit-echarts-demo --skill js-echarts-to-streamlit -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install andfanilo/streamlit-echarts-demo js-echarts-to-streamlit --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/andfanilo/streamlit-echarts-demo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/js-echarts-to-streamlit .opencode/skills/js-echarts-to-streamlit && 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 "js-echarts-to-streamlit" agent skill from https://github.com/andfanilo/streamlit-echarts-demo/tree/master/.claude/skills/js-echarts-to-streamlit into .opencode/skills/js-echarts-to-streamlit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "js-echarts-to-streamlit", 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.
Facts
- Skill name
js-echarts-to-streamlit- GitHub stars
- 146
- Token cost
- ~1.6k tokens
- SKILL.md length
- 449 words
- Files
- 1
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- None found
At a glance
Transforms JavaScript ECharts options and demos into Python dictionary configurations compatible with streamlit-echarts.
- Works in 7 steps: Data Structures & Primitives → Data Preparation & Logic → Handling JavaScript via JsCode (Critical) → …
- SKILL.md covers Core Transformation Rules and Function & Registration Pattern
- Reaches echarts.apache.org
What it does
JS Echarts To Streamlit is an agent skill from andfanilo/streamlit-echarts-demo. Transforms JavaScript ECharts options and demos into Python dictionary configurations compatible with streamlit-echarts.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Streamlit, JavaScript and Python. The repository describes itself as: Demo for Streamlit ECharts component.
Example prompts
- “Use the js-echarts-to-streamlit skill to transform JavaScript ECharts options and demos into Python dictionary configurations compatible with…”
- “/js-echarts-to-streamlit”
Requirements
- Python 3
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- Data Structures & Primitives
- Data Preparation & Logic
- Handling JavaScript via JsCode (Critical)
- Series as Dict vs List
- Faithful Conversion
- Interactivity & Drilldown Pattern
- Limitations
What it can do on your machine
Read from SKILL.md and the folder at commit 988789c. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
echarts.apache.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
JS Echarts To Streamlit loads about 1.6k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 449 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.
Safety
Auto-check passed
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.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 449 words (~1,613 tokens).
“This skill converts standard JavaScript/TypeScript Apache ECharts examples into Python code rendered with streamlit-echarts.”
- name
- js-echarts-to-streamlit
Files
Just SKILL.md in .claude/skills/js-echarts-to-streamlit of andfanilo/streamlit-echarts-demo.
Open the folder on GitHubat commit 988789c
Compare with similar skills
JS Echarts To Streamlit 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 |
|---|---|---|---|---|---|---|
| JS Echarts To Streamlit this skillandfanilo/streamlit-echarts-demo | 146 | — | ~1.6k | Automated safety check: Pass | None | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 4 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Fory Releaseapache/fory | 4.6k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| CCXT Crypto Exchange Library2025Emma/vibe-coding-cn | 23k | 1 repos | ~4.4k | Automated safety check: Pass | MIT | |
| Gemini API Devgoogle-gemini/gemini-skills | 4.3k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| CodeQL Security Scantrailofbits/skills | 7.5k | — | ~4.6k | Automated safety check: Notes | CC-BY-SA-4.0 |
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Questions about JS Echarts To Streamlit
What does JS Echarts To Streamlit do?
Transforms JavaScript ECharts options and demos into Python dictionary configurations compatible with streamlit-echarts. JS Echarts To Streamlit is an agent skill from andfanilo/streamlit-echarts-demo. Transforms JavaScript ECharts options and demos into Python dictionary configurations compatible with streamlit-echarts.
How do I install JS Echarts To Streamlit in Claude Code?
Run `npx skills add andfanilo/streamlit-echarts-demo --skill js-echarts-to-streamlit -a claude-code`. Or copy the skill folder (.claude/skills/js-echarts-to-streamlit in andfanilo/streamlit-echarts-demo) into .claude/skills/js-echarts-to-streamlit in your project. Claude Code loads it when a task matches its description.
How do I install JS Echarts To Streamlit in Codex?
Run `npx skills add andfanilo/streamlit-echarts-demo --skill js-echarts-to-streamlit -a codex`. Or copy the skill folder (.claude/skills/js-echarts-to-streamlit in andfanilo/streamlit-echarts-demo) into .agents/skills/js-echarts-to-streamlit in your project. Codex loads it when a task matches its description.
Can I use JS Echarts To Streamlit in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add andfanilo/streamlit-echarts-demo --skill js-echarts-to-streamlit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/js-echarts-to-streamlit, .gemini/skills/js-echarts-to-streamlit, .github/skills/js-echarts-to-streamlit and .opencode/skills/js-echarts-to-streamlit in your project.
What does JS Echarts To Streamlit need to run?
SKILL.md names no scripts, command-line tools or credentials: JS Echarts To Streamlit is instructions for the agent only. Our summary lists: Python 3.
Does JS Echarts To Streamlit access the network?
SKILL.md names 1 domain. In commands or code: echarts.apache.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is JS Echarts To Streamlit safe to install?
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.
What licence does JS Echarts To Streamlit use?
No licence was found for JS Echarts To Streamlit or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does JS Echarts To Streamlit use?
About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to JS Echarts To Streamlit?
Skills that share tags, products or a category with JS Echarts To Streamlit: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Fory Release (apache/fory, 4.6k stars), CCXT Crypto Exchange Library (2025Emma/vibe-coding-cn, 23k stars) and Gemini API Dev (google-gemini/gemini-skills, 4.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains JS Echarts To Streamlit?
andfanilo (a GitHub user) maintains it in andfanilo/streamlit-echarts-demo, which has 146 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on June 8, 2026.
Source: andfanilo/streamlit-echarts-demo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.