Visualizer
Pinvou/pinvou-agent
当用户要求数据可视化、做图表、生成看板、数据仪表盘、可视化报告、Excel/CSV 转图表、预算/销售/运营等指标分析页面、Chart.js 可视化时使用。只处理数据可视化任务；纯网页、banner、海报、简历等非数据图表设计任务应交给 visual-design。数据报告页以图表为主体归本技能；以文案排版为主体的静态报告页归 visual-design。
Create interactive in-app charts (bar, line, pie). An agent skill from aws-samples/sample-strands-agent-with-agentcore.
Install Visualization
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill visualization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore visualization --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/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .claude/skills && cp -r skills-src/chatbot-app/agentcore/skills/visualization .claude/skills/visualization && 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 "visualization" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/visualization into .claude/skills/visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visualization", 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/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/visualizationType 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 aws-samples/sample-strands-agent-with-agentcore --skill visualization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore visualization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .agents/skills && cp -r skills-src/chatbot-app/agentcore/skills/visualization .agents/skills/visualization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "visualization" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/visualization into .agents/skills/visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visualization", 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 aws-samples/sample-strands-agent-with-agentcore --skill visualization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore visualization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/chatbot-app/agentcore/skills/visualization .cursor/skills/visualization && 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 "visualization" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/visualization into .cursor/skills/visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visualization", 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/aws-samples/sample-strands-agent-with-agentcore.git --path chatbot-app/agentcore/skills/visualization--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 aws-samples/sample-strands-agent-with-agentcore --skill visualization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore visualization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/chatbot-app/agentcore/skills/visualization .gemini/skills/visualization && 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 "visualization" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/visualization into .gemini/skills/visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visualization", 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 aws-samples/sample-strands-agent-with-agentcore visualizationInstalls 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 aws-samples/sample-strands-agent-with-agentcore --skill visualization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .github/skills && cp -r skills-src/chatbot-app/agentcore/skills/visualization .github/skills/visualization && 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 "visualization" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/visualization into .github/skills/visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visualization", 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 aws-samples/sample-strands-agent-with-agentcore --skill visualization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore visualization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/chatbot-app/agentcore/skills/visualization .opencode/skills/visualization && 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 "visualization" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/visualization into .opencode/skills/visualization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "visualization", 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
visualization- GitHub stars
- 194
- Token cost
- ~697 tokens
- SKILL.md length
- 264 words
- Files
- 1
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- MIT
At a glance
Create interactive in-app charts (bar, line, pie). An agent skill from aws-samples/sample-strands-agent-with-agentcore.
- Tasks that involve UI design
- SKILL.md covers When to Use This Skill, Available Tool, Parameters (MUST match exactly) and Data Formats (CRITICAL — use…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Visualization is an agent skill from aws-samples/sample-strands-agent-with-agentcore, published by the product's own GitHub organization. Create interactive in-app charts (bar, line, pie). For a saved PNG or PDF, use visual-design instead.
Its SKILL.md is about 700 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 Documents & Office, covering UI design. The repository describes itself as: Reference architecture for agentic AI chatbots with Strands Agents and Amazon Bedrock AgentCore. The licence is MIT.
When your agent uses it
- Tasks that involve UI design
Example prompts
- “/visualization”
What it can do on your machine
Read from SKILL.md and the folder at commit 6dd9d13. 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 json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Visualization loads about 697 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 264 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
The full file from aws-samples/sample-strands-agent-with-agentcore at commit 6dd9d13, republished under its MIT licence (© aws-samples). 264 words, ~697 tokens.
Download SKILL.mdSave it as
.claude/skills/visualization/SKILL.md (or your agent's skills folder).- name
- visualization
- description
- Create interactive in-app charts (bar, line, pie). For a saved PNG or PDF, use visual-design instead.
Visualization
When to Use This Skill
Use create_visualization for interactive in-app charts of numerical data.
For an explicit PNG or PDF deliverable, use the visual-design skill instead. This tool returns a chart specification, not a downloadable image file. If the requested chart needs controls absent from this schema, such as fixed axis bounds, choose a tool that supports them rather than dropping the requirement.
| Use this skill for... | Use excalidraw skill for... |
|---|---|
| Sales figures by quarter | System architecture diagram |
| Survey response percentages | Flowchart or decision tree |
| Stock price over time | Sequence / interaction diagram |
| Market share breakdown | Mind map or concept map |
| Any x/y or segment/value data | Shapes, boxes, arrows, labels |
Available Tool
- create_visualization: Create a chart specification for frontend rendering.
Parameters (MUST match exactly)
| Parameter | Type | Required | Description |
|---|---|---|---|
chart_type | str | Yes | "bar", "line", or "pie" |
data | list[dict] | Yes | Array of data objects — see formats below |
title | str | No | Chart title |
x_label | str | No | X-axis label (bar/line only) |
y_label | str | No | Y-axis label (bar/line only) |
Data Formats (CRITICAL — use exact field names)
Bar / Line charts — each object MUST have "x" and "y" keys:
[{"x": "Jan", "y": 100}, {"x": "Feb", "y": 150}, {"x": "Mar", "y": 120}]Pie charts — each object MUST have "segment" and "value" keys:
[{"segment": "Category A", "value": 30}, {"segment": "Category B", "value": 70}]Optional: add "color": "hsl(210, 100%, 50%)" to any data point for custom color.
Example tool_input
Bar chart:
{
"chart_type": "bar",
"data": [{"x": "Q1", "y": 250}, {"x": "Q2", "y": 310}, {"x": "Q3", "y": 280}],
"title": "Quarterly Revenue",
"x_label": "Quarter",
"y_label": "Revenue ($K)"
}Pie chart:
{
"chart_type": "pie",
"data": [{"segment": "Mobile", "value": 60}, {"segment": "Desktop", "value": 35}, {"segment": "Tablet", "value": 5}],
"title": "Traffic by Device"
}Common Mistakes to Avoid
- Do NOT use
{"labels": [...], "values": [...]}format — data MUST be a list of dicts. - Bar/line data MUST use
"x"and"y"keys, NOT"label"or"name".
UI Guidance (from tools-config)
Data Format:
- Bar/Line charts: [{"x": label, "y": value}]
- Pie charts: [{"segment": name, "value": number}]
- Optional colors: "color": "hsl(210, 100%, 50%)"
© aws-samples, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in chatbot-app/agentcore/skills/visualization of aws-samples/sample-strands-agent-with-agentcore.
Open the folder on GitHubat commit 6dd9d13
Compare with similar skills
Visualization 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 |
|---|---|---|---|---|---|---|
| Visualization this skillaws-samples/sample-strands-agent-with-agentcore | 194 | — | ~697 | Automated safety check: Pass | MIT | |
| VisualizerPinvou/pinvou-agent | 2.4k | — | ~933 | Automated safety check: Pass | MIT | |
| Visual Stylecalesthio/OpenMontage | 65k | — | ~1.5k | Automated safety check: Pass | AGPL-3.0 | |
| Baoyu DesignDejavuMoe/Smoji | 114 | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Design Style Skillhaojing8312/WorkClaw | 141 | 1 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Expert DesignReJeCtAll/ExpertTeam-Codex | 113 | — | ~441 | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Visualization
What does Visualization do?
Create interactive in-app charts (bar, line, pie). An agent skill from aws-samples/sample-strands-agent-with-agentcore. Visualization is an agent skill from aws-samples/sample-strands-agent-with-agentcore, published by the product's own GitHub organization. Create interactive in-app charts (bar, line, pie).
When should I use Visualization?
Visualization fits situations like: tasks that involve UI design.
How do I install Visualization in Claude Code?
Run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill visualization -a claude-code`. Or copy the skill folder (chatbot-app/agentcore/skills/visualization in aws-samples/sample-strands-agent-with-agentcore) into .claude/skills/visualization in your project. Claude Code loads it when a task matches its description.
How do I install Visualization in Codex?
Run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill visualization -a codex`. Or copy the skill folder (chatbot-app/agentcore/skills/visualization in aws-samples/sample-strands-agent-with-agentcore) into .agents/skills/visualization in your project. Codex loads it when a task matches its description.
Can I use Visualization 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 aws-samples/sample-strands-agent-with-agentcore --skill visualization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/visualization, .gemini/skills/visualization, .github/skills/visualization and .opencode/skills/visualization in your project.
What does Visualization need to run?
SKILL.md names no scripts, command-line tools or credentials: Visualization is instructions for the agent only.
Does Visualization access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Visualization 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 Visualization use?
Visualization is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Visualization use?
About 697 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.
What are the alternatives to Visualization?
Skills that share tags, products or a category with Visualization: Visualizer (Pinvou/pinvou-agent, 2.4k stars), Visual Style (calesthio/OpenMontage, 65k stars), Baoyu Design (DejavuMoe/Smoji, 114 stars) and Design Style Skill (haojing8312/WorkClaw, 141 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Visualization?
aws-samples (a GitHub organization, an official publisher) maintains it in aws-samples/sample-strands-agent-with-agentcore, which has 194 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 6, 2026.
Source: aws-samples/sample-strands-agent-with-agentcore on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.