Sample Strands Agent with Amazon Bedrock AgentCore is an end-to-end reference architecture for building multi-agent chatbots on AWS. Teams use it to explore agent orchestration, tool execution, memory, browser automation, and agent-to-agent collaboration with Strands Agents and Bedrock AgentCore.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add aws-samples/sample-strands-agent-with-agentcore --skill visual-designgit clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcoreWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/visual-design)<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/visual-design"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/visual-design/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/visual-design"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/visual-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00095 | $0.01452 |
| Opus 5.5 | $0.00038 | $0.00581 |
| Sonnet 5.5 | $0.00019 | $0.00290 |
| Haiku 4.5 | $0.00010 | $0.00145 |
Grade A, and why
visual-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visual Design
Quick Reference
| Task | Tool | Guide |
|---|---|---|
| Data chart or graph | generate_chart |
Read SKILL.md Design Ideas |
| Poster / infographic / art | create_visual_design |
Read canvas-design.md |
| Architecture / flow diagram | Excalidraw skill | Use create_excalidraw_diagram for an editable in-app result. Use image generation only when a raster or print deliverable is requested. |
Available Tools
generate_chart
Data visualization. Executes matplotlib/plotly code to produce chart PNGs.
python_code(str, required): Chart generation Python codeoutput_filename(str, required):.pngfilename
create_visual_design
Visual design creation: posters, infographics, artwork, diagrams. Uses reportlab, Pillow, svgwrite, or any available library.
python_code(str, required): Design generation Python codeoutput_filename(str, required):.pngor.pdffilename
Available Libraries
| Purpose | Libraries | Output | Notes |
|---|---|---|---|
| Data charts | matplotlib, plotly, bokeh | PNG | Best for charts |
| PDF design | reportlab, fpdf | Full control | |
| Image design | Pillow + fonttools | PNG | Best for PNG designs |
| Vector graphics | svgwrite → svglib + renderPDF | SVG → PDF | SVG→PNG NOT supported (no renderPM) |
| Image processing | Wand (ImageMagick), opencv-python | PNG | Check availability first |
IMPORTANT: For PNG output, use Pillow or matplotlib. Do NOT use svgwrite→renderPM (rlPyCairo is unavailable).
Design Workflow
Data Charts (generate_chart)
- Identify data structure and choose appropriate chart type
- Select color palette (see Design Ideas below)
- Preserve requested labels, units, colors, dimensions, and explicit axis limits in the code. Verify these against the generated output.
- Write code with
plt.savefig(filename, dpi=300, bbox_inches='tight') - Review the generated chart and confirm the saved file matches the requested format and filename
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed · +1 lines bf4699011787
- 1mo ago First seen · 133 lines · 95 tokens per session scan A 1aeea9d89a55
visual-design is a skill published in the GitHub repository aws-samples/sample-strands-agent-with-agentcore (196 stars, last pushed today), licensed MIT. It adds 95 tokens to every session and 1,452 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
wcag22-a11y-audit
WCAG 2.2 Accessibility Audit skill that systematically evaluates web pages against 8 core Success Criteria (1.1.1, 1.4.3, 1.4.11, 2.1.1, 2.1.2, 2.4.3, 2.4.7, 4.1.2) using accessibility tree inspection and visual analysis. Use this skill when you need to perform accessibility testing/auditing on a live webpage.
ux-audit-walkthrough
Minimalist UX/Interaction Audit Expert that deconstructs complex interactions through cognitive load and operational efficiency lenses. Use this skill when you need to perform a UX walkthrough audit on a Figma prototype or web interface, evaluating usability based on principles like fewer clicks, less UI elements, no…
awesome-design-md
Create a DESIGN.md style baseline BEFORE building UI. Use FIRST when no design draft exists — installs a proven visual style, then invoke frontend-design to implement. For borrowing a known product style, getting consistent typography/colors/spacing, or needing a fast visual starting point.
sprinkles
Use this when the user wants a persistent UI panel — a dashboard, form, editor, report, or visualization that lives alongside the chat. Sprinkles are .shtml files under /shared/sprinkles/ rendered in the side rail or as a full-screen tab. For ephemeral inline widgets, use dips instead. Covers creation, modification…
theme
Use this when the user wants to change the SLICC UI appearance — switch preset themes, create custom themes, adjust colors, toggle the animated background, or export/import theme files. Covers the theme shell command, full token reference, and the JSON format for programmatic theming.
dips
Use this whenever a response could benefit from richer visualization, guided interaction, or a touch of fun — pickers, calculators, sliders, mini explorers, charts, animated demos, choose-your-own-adventure prompts, anything that lands better as a hydrating widget than as plain prose. Dips are ephemeral shtml code…