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 agentmods add skills/aws-samples/sample-strands-agent-with-agentcore/powerpoint-presentationsnpx skills add aws-samples/sample-strands-agent-with-agentcore --skill powerpoint-presentationsgit 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/powerpoint-presentations)<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/powerpoint-presentations"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/powerpoint-presentations.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00048 | $0.01294 |
| Opus 5 | $0.00024 | $0.00647 |
| Sonnet 5 | $0.00010 | $0.00259 |
| Haiku 4.5 | $0.00005 | $0.00129 |
Grade A, and why
powerpoint-presentations 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 6d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PowerPoint Presentations
Use a staged workflow: classify → inspect → plan → execute → validate → render → iterate. Do not skip source verification or QA.
1. Classify the Request
Choose exactly one path:
| Path | Use when | Primary tools |
|---|---|---|
| Edit source | Modify an uploaded or existing deck | inspect_presentation, begin_presentation_edit, edit tools |
| Build from template | Create content in an uploaded branded deck | begin_presentation_edit, duplicate_slide, update_slide_content |
| Create new | No source/template must be preserved | create_presentation |
| Analyze | Review content, design, or structure without editing | inspect_presentation, preview tools |
Never use create_presentation for an edit or template request. It creates a new
package and cannot preserve the source master, layouts, relationships, notes, or
embedded assets.
2. Verify and Inspect the Source
For edit and template paths:
- Call
list_my_powerpoint_presentations. - Confirm the exact source filename exists.
- Call
inspect_presentationwithpersist_spec=true. - Call
preview_presentation_montagefor a deck-level visual pass. - Call
analyze_presentationonly for slides that require detailed element IDs.
If the source cannot be loaded, stop and report the missing file. Do not recreate the deck from a description, silently switch to a new-deck workflow, or delegate the task to an environment where the source file has not been verified.
Treat the persisted deck spec as the design-system record across turns. After
inspection, call begin_presentation_edit once and retain its edit_id.
Re-run inspect_presentation with that edit_id after structural changes; do
not rely on conversation memory for fonts, colors, layouts, or slide structure.
3. Plan Before Editing
Define:
- Audience and decision or outcome
- Narrative arc and one message per slide
- Functional slide type for each slide
- Content-density budget
- Source slides/layouts to preserve or duplicate
- Slides that require new visuals or data
What ships with it
5 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.
- 6d ago First seen · 140 lines · 48 tokens per session scan A 0c67e340b9a1
powerpoint-presentations is a skill published in the GitHub repository aws-samples/sample-strands-agent-with-agentcore (192 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 1,294 once invoked, about $0.0002 per session on Opus 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
gog-workspace
Use the gog CLI for Google Workspace tasks across Gmail, Calendar, Drive, Docs, Sheets, Contacts, and related services. Use when the user asks to check email, search Gmail, inspect calendar events, find Drive files, read Docs or Sheets, or manage Google Workspace data through gog.
Manipulate PDF files — merge, split, extract pages/text, PDF↔images, OCR, info — via the qpdf / poppler / ocrmypdf CLIs. Use to combine, slice, convert, or OCR PDFs.
pandoc
Convert documents between formats (Markdown, DOCX, HTML, PDF, RST, EPUB, LaTeX) via the pandoc CLI. Use to transform a document from one format to another.
xlsx
Create and edit Excel .xlsx workbooks (sheets, cells, formulas, formatting) via Python openpyxl. Use to generate spreadsheets or write/update cells. Reading is via os.fs.readdocument.
article-exporter
Export any web article to a local Obsidian-ready Markdown directory. Fetches page content via actionbook CLI, downloads images locally, rewrites image references to relative paths, and optionally translates the article using AI. Produces a self-contained folder with README.md, images/, and an index.md navigation file.
user-file-ops
Simple operations on user-provided text files including summarization.