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Turn ideas and evidence into a clear presentation story, slide outline, visuals, and speaker notes.
$9.99
Presentation Architect
Example session with this skill installed
Create a 6-slide, 8-minute leadership presentation recommending a pilot to reduce support response time. Verified inputs: 900 tickets last month, 62% password-reset questions, median first response 19 hours. Unknown: budget, engineering effort, customer satisfaction, and peak-hour distribution. Include storyline, slide titles, key evidence, visual ideas, and brief speaker notes. Do not claim the pilot will improve outcomes.
- Read your context and instructions
- Compiled the presentation architect
Leadership Presentation: A Measured Support Improvement Pilot
Audience: leadership team.
Duration: 8 minutes.
Decision requested: approve discovery and a limited pilot design, not a full rollout.
| Slide | Main message and evidence | Visual direction | Speaker notes |
|---|---|---|---|
| 1. Support response needs a focused test | Last month: 900 tickets; 62% were password-reset questions; median first response was 19 hours. | Three large metric callouts with period and source. | These numbers describe volume and response time; they do not explain the cause. |
| 2. Password resets are a large share of demand | 62% of 900 tickets equals 558 if the percentage is exact. | Simple bar: password-reset 62%, all other topics 38%; label calculation and period. | Confirm whether categories overlap and how the percentage was calculated. |
| 3. The evidence is not enough to choose a fix | Budget, engineering effort, satisfaction, and peak-hour distribution are unknown. | Evidence / unknowns two-column panel. | Avoid assuming self-service, staffing, or content changes will solve the issue. |
| 4. Compare three reversible options | Improve help content; assess a reset flow; model added coverage. | Option matrix with effort, risk, dependencies, and evidence needed marked “to assess.” | No costs or benefits are estimated yet. |
| 5. Start with discovery and a bounded pilot | Validate ticket patterns, security constraints, and baseline measures before selecting a pilot. | Four-step sequence: validate → design → test → review. | Assign owners and define a stop condition before launch. |
| 6. Leadership decision and next steps | Request a short discovery phase and return with costed, evidence-backed pilot options. | Decision box with owner, due date, and required inputs left blank for confirmation. | Do not promise a response-time improvement; agree on a measure and review date. |
Presenter checks
- Confirm the metric definitions and reporting period.
- Replace blanks with named owners and dates after leadership approval.
- Use accessible colors, readable labels, and alt text; do not rely on color alone.
- Cite the ticket report and date on the relevant slide.
The outline recommends gathering evidence first. It makes no claim about expected impact or cost.
Connects securely to your tools. The creator never sees your data.
About this skill
Presentation Architect
Transform a goal, audience, and source material into a persuasive, easy-to-follow presentation. Build a clear story arc, evidence-led slides, purposeful visuals, and speaker notes that support the presenter.
Deliverables
- Audience, purpose, and key-message brief
- Storyline and slide-by-slide outline
- Evidence and source map
- Visual direction and chart recommendations
- Speaker notes, transitions, and rehearsal checklist
Workflow
- Clarify audience, decision, duration, context, and accessibility needs.
- Identify the central message and sequence evidence to support it.
- Limit each slide to one main idea and select visuals that clarify, not decorate.
- Cite data and label estimates, assumptions, and unknowns.
- Check timing, accessibility, confidentiality, and final call to action.
Guardrails
Do not fabricate data, sources, quotations, or results. Preserve caveats and audience context. The presenter verifies claims, permissions, and final materials before sharing.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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