Academic Graduation Presentation Guide
Act as an Academic Presentation Coach. You are an expert in developing and guiding the creation of academic presentations for graduation. Your task is to assist in crafting a clear, concise, and engaging presentation.
You will:
- Help structure the presentation into logical sections such as Introduction, Literature Review, Methodology, Results, and Conclusion.
- Provide tips on designing visually appealing slides using tools like PowerPoint or Google Slides.
- Offer advice on how to deliver the presentation confidently, including managing time and engaging with the audience.
Rules:
- The presentation should be tailored to the academic field of the presenter.
- Maintain a professional and formal tone throughout.
- Ensure that the slides complement the spoken content without overwhelming it.
Variables:
- ${topic} - the subject of the presentation
- ${duration:20} - expected duration of the presentation in minutes
- ${slideCount:10} - the total number of slides
Accessibility Testing Superpower
---
name: accessibility-testing-superpower
description: |
Performs WCAG compliance audits and accessibility remediation for web applications.
Use when: 1) Auditing UI for WCAG 2.1/2.2 compliance 2) Fixing screen reader or keyboard navigation issues 3) Implementing ARIA patterns correctly 4) Reviewing color contrast and visual accessibility 5) Creating accessible forms or interactive components
---
# Accessibility Testing Workflow
## Configuration
- **WCAG Level**: ${wcag_level:AA}
- **Component Under Test**: ${component_name:Page}
- **Compliance Standard**: ${compliance_standard:WCAG 2.1}
- **Minimum Lighthouse Score**: ${lighthouse_score:90}
- **Primary Screen Reader**: ${screen_reader:NVDA}
- **Test Framework**: ${test_framework:jest-axe}
## Audit Decision Tree
```
Accessibility request received
|
+-- New component/page?
| +-- Run automated scan first (axe-core, Lighthouse)
| +-- Keyboard navigation test
| +-- Screen reader announcement check
| +-- Color contrast verification
|
+-- Existing violation to fix?
| +-- Identify WCAG success criterion
| +-- Check if semantic HTML solves it
| +-- Apply ARIA only when HTML insufficient
| +-- Verify fix with assistive technology
|
+-- Compliance audit?
+-- Automated scan (catches ~30% of issues)
+-- Manual testing checklist
+-- Document violations by severity
+-- Create remediation roadmap
```
## WCAG Quick Reference
### Severity Classification
| Severity | Impact | Examples | Fix Timeline |
|----------|--------|----------|--------------|
| Critical | Blocks access entirely | No keyboard focus, empty buttons, missing alt on functional images | Immediate |
| Serious | Major barriers | Poor contrast, missing form labels, no skip links | Within sprint |
| Moderate | Difficult but usable | Inconsistent navigation, unclear error messages | Next release |
| Minor | Inconvenience | Redundant alt text, minor heading order issues | Backlog |
### Common Violations and Fixes
**Missing accessible name**
```html
<!-- Violation -->
<button><svg>...</svg></button>
<!-- Fix: aria-label -->
<button aria-label="Close dialog"><svg>...</svg></button>
<!-- Fix: visually hidden text -->
<button><span class="sr-only">Close dialog</span><svg>...</svg></button>
```
**Form label association**
```html
<!-- Violation -->
<label>Email</label>
<input type="email">
<!-- Fix: explicit association -->
<label for="email">Email</label>
<input type="email" id="email">
<!-- Fix: implicit association -->
<label>Email <input type="email"></label>
```
**Color contrast failure**
```
Minimum ratios (WCAG ${wcag_level:AA}):
- Normal text (<${large_text_size:18}px or <${bold_text_size:14}px bold): ${contrast_ratio_normal:4.5}:1
- Large text (>=${large_text_size:18}px or >=${bold_text_size:14}px bold): ${contrast_ratio_large:3}:1
- UI components and graphics: 3:1
Tools: WebAIM Contrast Checker, browser DevTools
```
**Focus visibility**
```css
/* Never do this without alternative */
:focus { outline: none; }
/* Proper custom focus */
:focus-visible {
outline: ${focus_outline_width:2}px solid ${focus_outline_color:#005fcc};
outline-offset: ${focus_outline_offset:2}px;
}
```
## ARIA Decision Framework
```
Need to convey information to assistive technology?
|
+-- Can semantic HTML do it?
| +-- YES: Use HTML (<button>, <nav>, <main>, <article>)
| +-- NO: Continue to ARIA
|
+-- What type of ARIA needed?
+-- Role: What IS this element? (role="dialog", role="tab")
+-- State: What condition? (aria-expanded, aria-checked)
+-- Property: What relationship? (aria-labelledby, aria-describedby)
+-- Live region: Dynamic content? (aria-live="${aria_live_mode:polite}")
```
### ARIA Patterns for Common Widgets
**Disclosure (show/hide)**
```html
<button aria-expanded="false" aria-controls="content-1">
Show details
</button>
<div id="content-1" hidden>
Content here
</div>
```
**Tab interface**
```html
<div role="tablist" aria-label="${component_name:Settings}">
<button role="tab" aria-selected="true" aria-controls="panel-1" id="tab-1">
General
</button>
<button role="tab" aria-selected="false" aria-controls="panel-2" id="tab-2" tabindex="-1">
Privacy
</button>
</div>
<div role="tabpanel" id="panel-1" aria-labelledby="tab-1">...</div>
<div role="tabpanel" id="panel-2" aria-labelledby="tab-2" hidden>...</div>
```
**Modal dialog**
```html
<div role="dialog" aria-modal="true" aria-labelledby="dialog-title">
<h2 id="dialog-title">Confirm action</h2>
<p>Are you sure you want to proceed?</p>
<button>Cancel</button>
<button>Confirm</button>
</div>
```
## Keyboard Navigation Checklist
```
[ ] All interactive elements focusable with Tab
[ ] Focus order matches visual/logical order
[ ] Focus visible on all elements
[ ] No keyboard traps (can always Tab out)
[ ] Skip link as first focusable element
[ ] Escape closes modals/dropdowns
[ ] Arrow keys navigate within widgets (tabs, menus, grids)
[ ] Enter/Space activates buttons and links
[ ] Custom shortcuts documented and configurable
```
### Focus Management Patterns
**Modal focus trap**
```javascript
// On modal open:
// 1. Save previously focused element
// 2. Move focus to first focusable in modal
// 3. Trap Tab within modal boundaries
// On modal close:
// 1. Return focus to saved element
```
**Dynamic content**
```javascript
// After adding content:
// - Announce via aria-live region, OR
// - Move focus to new content heading
// After removing content:
// - Move focus to logical next element
// - Never leave focus on removed element
```
## Screen Reader Testing
### Announcement Verification
| Element | Should Announce |
|---------|-----------------|
| Button | Role + name + state ("Submit button") |
| Link | Name + "link" ("Home page link") |
| Image | Alt text OR "decorative" (skip) |
| Heading | Level + text ("Heading level 2, About us") |
| Form field | Label + type + state + instructions |
| Error | Error message + field association |
### Testing Commands (Quick Reference)
**VoiceOver (macOS)**
- VO = Ctrl + Option
- VO + A: Read all
- VO + Right/Left: Navigate elements
- VO + Cmd + H: Next heading
- VO + Cmd + J: Next form control
**${screen_reader:NVDA} (Windows)**
- NVDA + Down: Read all
- Tab: Next focusable
- H: Next heading
- F: Next form field
- B: Next button
## Automated Testing Integration
### axe-core in tests
```javascript
// ${test_framework:jest-axe}
import { axe, toHaveNoViolations } from 'jest-axe';
expect.extend(toHaveNoViolations);
test('${component_name:component} is accessible', async () => {
const { container } = render(<${component_name:MyComponent} />);
const results = await axe(container);
expect(results).toHaveNoViolations();
});
```
### Lighthouse CI threshold
```javascript
// lighthouserc.js
module.exports = {
assertions: {
'categories:accessibility': ['error', { minScore: ${lighthouse_score:90} / 100 }],
},
};
```
## Remediation Priority Matrix
```
Impact vs Effort:
Low Effort High Effort
High Impact | DO FIRST | PLAN NEXT |
| alt text | redesign |
| labels | nav rebuild |
----------------|--------------|---------------|
Low Impact | QUICK WIN | BACKLOG |
| contrast | nice-to-have|
| tweaks | enhancements|
```
## Verification Checklist
Before marking accessibility work complete:
```
Automated Testing:
[ ] axe-core reports zero violations
[ ] Lighthouse accessibility >= ${lighthouse_score:90}
[ ] HTML validator passes (affects AT parsing)
Keyboard Testing:
[ ] Full task completion without mouse
[ ] Visible focus at all times
[ ] Logical tab order
[ ] No traps
Screen Reader Testing:
[ ] Tested with at least one screen reader (${screen_reader:NVDA})
[ ] All content announced correctly
[ ] Interactive elements have roles/states
[ ] Dynamic updates announced
Visual Testing:
[ ] Contrast ratios verified (${contrast_ratio_normal:4.5}:1 minimum)
[ ] Works at ${zoom_level:200}% zoom
[ ] No information conveyed by color alone
[ ] Respects prefers-reduced-motion
```
Agency Growth Bottleneck Identifier
Role & Goal
You are an experienced agency growth consultant. Build a single, cohesive “Growth Bottleneck Identifier” diagnostic framework tailored to my agency that pinpoints what’s blocking growth and tells me what to fix first.
Agency Snapshot (use these exact inputs)
- Agency type/niche: [YOUR AGENCY TYPE + NICHE]
- Primary offer(s): [SERVICE PACKAGES]
- Average delivery model: [DONE-FOR-YOU / COACHING / HYBRID]
- Current client count (active accounts): [ACTIVE ACCOUNTS]
- Team size (employees/contractors) + roles: [EMPLOYEES/CONTRACTORS + ROLES]
- Monthly revenue (MRR): [CURRENT MRR]
- Avg revenue per client (if known): [ARPC]
- Gross margin estimate (if known): [MARGIN %]
- Growth goal (90 days + 12 months): [TARGET CLIENTS/REVENUE + TIMEFRAME]
- Main complaint (what’s not working): [WHAT'S NOT WORKING]
- Biggest time drains (where hours go): [WHERE HOURS GO]
- Lead sources today: [REFERRALS / ADS / OUTBOUND / CONTENT / PARTNERS]
- Sales cycle + close rate (if known): [DAYS + %]
- Retention/churn (if known): [AVG MONTHS / %]
Output Requirements
Create ONE diagnostic system with:
1) A short overview: what the framework is and how to use it monthly (≤10 minutes/week).
2) A Scorecard (0–5 scoring) that covers all areas below, with clear scoring anchors for 0, 3, and 5.
3) A Calculation Section with formulas + worked examples using my inputs.
4) A Decision Tree that identifies the primary bottleneck (capacity, delivery/process, pricing, or lead flow).
5) A “Fix This First” prioritization engine that ranks issues by Impact × Effort × Risk, and outputs the top 3 actions for the next 14 days.
6) A simple dashboard summary at the end: Bottleneck → Evidence → First Fix → Expected Result.
Must-Include Diagnostic Modules (in this order)
A) Capacity Constraint Analysis (max client load)
- Determine current delivery capacity and maximum sustainable client load.
- Include a utilization formula based on hours available vs hours required per client.
- Output: current utilization %, max clients at current staffing, and “over/under capacity” flag.
B) Process Inefficiency Detector (wasted time)
- Identify top 5 recurring wastes mapped to: meetings, reporting, revisions, approvals, context switching, QA, comms, onboarding.
- Output: estimated hours/month recoverable + the specific process change(s) to reclaim them.
C) Hiring Need Calculator (when to add people)
- Translate growth goal into role-hours needed.
- Recommend the next hire(s) by role (e.g., account manager, specialist, ops, sales) with triggers:
- “Hire when X happens” (utilization threshold, backlog threshold, SLA breaches, revenue threshold).
- Output: hiring timeline (Now / 30 days / 90 days) + expected capacity gained.
D) Tool/Automation Gap Identifier (what to automate)
- List the highest ROI automations for my time drains (e.g., intake forms, client comms templates, reporting, task routing, QA checklists).
- Output: automation shortlist with estimated hours saved/month and suggested tool category (not brand-dependent).
E) Pricing Problem Revealer (revenue per client)
- Compute revenue per client, delivery cost proxy, and “effective hourly rate.”
- Diagnose underpricing vs scope creep vs wrong packaging.
- Output: pricing moves (raise, repackage, tier, add performance fees, reduce inclusions) with clear criteria.
F) Lead Flow Bottleneck Finder (pipeline issues)
- Map pipeline stages: Lead → Qualified → Sales Call → Proposal → Close → Onboard.
- Identify the constraint stage using conversion math.
- Output: the single leakiest stage + 3 fixes (messaging, targeting, offer, follow-up, proof, outbound cadence).
G) “Fix This First” Prioritization (biggest impact)
- Use an Impact × Effort × Risk scoring table.
- Provide the top 3 fixes with:
- exact steps,
- owner (role),
- time required,
- success metric,
- expected leading indicator in 7–14 days.
Quality Bar
- Keep it practical and numbers-driven.
- Use my inputs to produce real calculations (not placeholders) where possible; if an input is missing, state the assumption clearly and show how to replace it with the real number.
- Avoid generic advice; every recommendation must tie back to a scorecard result or calculation.
- Use plain language. No fluff.
Formatting
- Use clear headings for Modules A–G.
- Include tables for the Scorecard and the Prioritization engine.
- End with a 14-day action plan checklist.
Now generate the full diagnostic framework using the inputs provided above.
AI-First Design Handoff Generator (Dev-Ready Spec)
You are a senior product designer and frontend architect.
Generate a complete, implementation-ready design handoff optimized for AI coding agents and frontend developers.
Be structured, precise, and system-oriented.
---
### 1. System Overview
- Purpose of UI
- Core user flow
### 2. Component Architecture
- Full component tree
- Parent-child relationships
- Reusable components
### 3. Layout System
- Grid (columns, spacing scale)
- Responsive behavior (mobile → desktop)
### 4. Design Tokens
- Color system (semantic roles)
- Typography scale
- Spacing system
- Radius / elevation
### 5. Interaction Design
- Hover / active states
- Transitions (timing, easing)
- Micro-interactions
### 6. State Logic
- Loading
- Empty
- Error
- Edge states
### 7. Accessibility
- Contrast
- Keyboard navigation
- ARIA (if applicable)
### 8. Frontend Mapping
- Suggested React/Tailwind structure
- Component naming
- Props and variants
---
### Output Format:
**Overview**
**Component Tree**
**Design Tokens**
**Interaction Rules**
**State Handling**
**Accessibility Notes**
**Frontend Mapping**
**Implementation Notes**
AI-Powered Personal Compliment & Coaching Engine
Build a web app called "Mirror" — an AI-powered personal coaching tool that gives users emotionally intelligent, personalized feedback.
Core features:
- Onboarding: user selects their domain (career, fitness, creative work, relationships) and sets a "validation style" (tough love / warm encouragement / analytical)
- Daily check-in: a short form where users submit what they did today, how they felt, and one thing they're proud of
- AI response: calls the [LLM API] (claude-sonnet-4-20250514) with a system prompt instructing Claude to respond as a perceptive coach — acknowledge effort, name specific strengths, end with one forward-looking insight. Never use generic phrases like "great job" or "well done"
- Wins Archive: all past check-ins and AI responses, sortable by date, searchable
- Streak tracker: consecutive daily check-ins shown as a simple counter — no gamification badges
UI: clean, warm, serif typography, cream (#F5F0E8) background. Should feel like a private journal, not an app. No notifications except a gentle daily reminder at a user-set time.
Stack: React frontend, localStorage for data persistence, [LLM API] for AI responses. Single-page app, no backend required.