Portfolio Case Study Writer logo

Portfolio Case Study Writer

CommunityPopular
Paramchoudhary
portfolio-case-study-writer

Transform resume bullets into detailed portfolio case studies

Overview

PublisherParamchoudhary
RepositoryResumeSkills
Skill nameportfolio-case-study-writer
Stars
2.3K
Forks
197
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Paramchoudhary on GitHub. Read the source before you install it.

Installation

Install the Portfolio Case Study Writer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Paramchoudhary/ResumeSkills.git /tmp/ResumeSkills
mkdir -p .claude/skills
cp -r /tmp/ResumeSkills/skills/portfolio-case-study-writer .claude/skills/portfolio-case-study-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Portfolio Case Study Writer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Portfolio Case Study Writer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Portfolio Case Study Writer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Portfolio Case Study Writer

When to Use This Skill

Use this skill when the user:

  • Wants to create portfolio case studies
  • Needs to expand resume bullets into detailed writeups
  • Is building a portfolio website
  • Wants to showcase project work in depth
  • Mentions: "case study", "portfolio", "project writeup", "work samples", "portfolio piece"

Core Capabilities

  • Transform resume bullets into detailed case studies
  • Structure case studies for maximum impact
  • Create compelling project narratives
  • Balance technical detail with business context
  • Format for portfolio websites
  • Tailor depth to audience

Case Study Purpose

Why Case Studies Matter:

  • Resumes show WHAT you did; case studies show HOW and WHY
  • Demonstrate thinking process, not just outcomes
  • Allow deeper showcase of skills
  • Differentiate you from other candidates
  • Required for many PM, UX, and creative roles

The Case Study Structure

Standard Structure

1. Overview (Project summary)
2. Problem (What needed to be solved)
3. Process (How you approached it)
4. Solution (What you created/delivered)
5. Results (The impact)
6. Learnings (What you'd do differently)

Time to Read

  • Quick Read: 3-5 minutes (essential for portfolio)
  • Deep Dive: 10-15 minutes (for interested readers)

Section-by-Section Guide

1. Overview Section

Purpose: Hook the reader, provide context

Include:

  • Project name and company
  • Your role
  • Timeline
  • Team size
  • One-sentence summary of impact

Example:

# Redesigning the Checkout Flow

**Company:** E-Commerce Inc.
**Role:** Lead Product Designer
**Timeline:** 6 weeks
**Team:** 2 designers, 3 engineers, 1 PM

**Summary:** Reduced cart abandonment by 35% through a streamlined 3-step checkout process, generating $2M in recovered revenue.

2. Problem Section

Purpose: Set up why this work mattered

Include:

  • Business context
  • User pain points
  • Key metrics or goals
  • Constraints

Example:

## The Problem

E-Commerce Inc. was experiencing 68% cart abandonment—significantly higher than the industry average of 55%. Exit surveys and user research revealed several issues:

- **Too many steps:** Our checkout had 7 screens
- **Forced account creation:** Users had to register before purchasing
- **Hidden costs:** Shipping wasn't shown until step 5
- **Mobile friction:** Forms weren't optimized for mobile

**Goal:** Reduce cart abandonment to below 50% within 3 months.

**Constraints:**
- No changes to existing payment integrations
- Had to maintain PCI compliance
- 6-week timeline before holiday season

3. Process Section

Purpose: Show your thinking and methodology

Include:

  • Research conducted
  • Stakeholders involved
  • Hypotheses formed
  • Options considered
  • Decisions made (and why)

Example:

## Process

### Research
I started by understanding the problem deeply:
- Analyzed Mixpanel funnel data for drop-off points
- Conducted 10 user interviews with recent abandoners
- Reviewed heatmaps and session recordings
- Benchmarked against 5 competitor checkout flows

**Key Insight:** 73% of drop-offs occurred at the account creation screen. Users wanted to purchase, not commit to a relationship.

### Ideation
I explored several approaches:
1. Guest checkout only (simplest)
2. Social login options (lower friction)
3. Progressive profiling (collect info over time)
4. One-page checkout (Amazon-style)

After weighing feasibility, timeline, and impact, we chose a hybrid approach...

### Decisions Made
- **Guest checkout first:** Made registration optional and post-purchase
- **Transparent pricing:** Showed shipping on the first screen
- **Mobile-first design:** Designed for mobile, then adapted for desktop
- **Progress indicator:** Added clear "Step 1 of 3" indicator

4. Solution Section

Purpose: Show what you actually created

Include:

  • Visual artifacts (mockups, screenshots, diagrams)
  • Key features/changes
  • Technical implementation (if relevant)
  • How it addressed the problems

Example:

## Solution

### The New Checkout Flow

**Before:** 7 screens with mandatory registration
**After:** 3 screens with optional guest checkout

[IMAGE: Before/After comparison]

### Key Changes

**1. Transparent Pricing Widget**
[IMAGE: Pricing widget mockup]
Showed order total, shipping, and taxes from the start. No surprises.

**2. Guest Checkout Option**
[IMAGE: Guest checkout screen]
Made account creation optional with clear value proposition for why to register.

**3. Smart Form Design**
[IMAGE: Form design]
- Single-column layout on mobile
- Auto-format for phone/card numbers
- Address autocomplete integration
- Clear error messaging

**4. Trust Signals**
Added security badges, money-back guarantee, and customer service contact throughout the flow.

5. Results Section

Purpose: Prove impact with data

Include:

  • Quantitative results (with timeframe)
  • Comparison to goals
  • Secondary metrics affected
  • Business impact

Example:

## Results

### Primary Metrics (90 days post-launch)

| Metric | Before | After | Change |
|--------|--------|-------|--------|
| Cart Abandonment | 68% | 44% | -35% |
| Checkout Completion | 32% | 56% | +75% |
| Mobile Conversion | 18% | 41% | +128% |
| Revenue per Visitor | $2.40 | $3.85 | +60% |

### Business Impact
- **$2M additional revenue** in first quarter
- **15% increase in mobile orders**
- **Customer support tickets about checkout** dropped by 45%

### Secondary Effects
- Account creation actually increased 20% (post-purchase)
- Average order value stayed stable
- Return customer rate improved

6. Learnings Section

Purpose: Show growth mindset and self-awareness

Include:

  • What worked well
  • What you'd do differently
  • Unexpected challenges
  • Skills developed

Example:

## Learnings

### What Worked
- **Early user research** prevented us from building the wrong solution
- **Cross-functional alignment** meetings kept everyone on the same page
- **Launching with analytics** let us measure impact immediately

### What I'd Do Differently
- **More A/B testing:** We launched the full redesign at once. Would have preferred to test individual changes to understand what drove results.
- **Earlier mobile focus:** We designed desktop-first then adapted. Starting mobile-first would have been more efficient.
- **Stakeholder education:** Spent too long convincing leadership. Would start stakeholder alignment earlier next time.

### Skills Developed
- Advanced Figma prototyping
- Working with A/B testing frameworks
- Presenting data-driven design decisions to executives

Case Study Types by Role

Product Manager Case Study

Focus on:

  • Strategy and prioritization
  • Stakeholder management
  • Metrics and outcomes
  • Technical trade-offs

UX/Product Designer Case Study

Focus on:

  • User research
  • Design process
  • Visual artifacts
  • Usability improvements

Software Engineer Case Study

Focus on:

  • Technical architecture
  • Problem-solving approach
  • System design
  • Code quality/performance

Marketing Case Study

Focus on:

  • Strategy and targeting
  • Creative execution
  • Channel performance
  • ROI and attribution

Visual Elements

Must-Have Visuals

  • Before/after comparisons
  • Key screens or deliverables
  • Process diagrams
  • Results charts

Nice-to-Have Visuals

  • User journey maps
  • Wireframes evolution
  • Research artifacts
  • Team photos

Visual Tips

  • Use consistent image sizing
  • Add captions explaining each image
  • Blur sensitive data if needed
  • Ensure mobile-friendly image sizes

Output Format

When creating a case study:

markdown
# CASE STUDY: [PROJECT NAME]

## Quick Facts
- **Role:** [Your role]
- **Company:** [Company]
- **Timeline:** [Duration]
- **Team:** [Team composition]
- **Impact:** [One-line result]

---

## Overview
[2-3 sentence summary of the project]

## Problem
[Context and challenges - what needed to be solved]

## Process
### Research
[What you learned]

### Approach
[How you tackled it]

### Key Decisions
[Important choices and rationale]

## Solution
[What you built/created - include visual descriptions]

### Feature 1
[Description]

### Feature 2
[Description]

## Results
[Quantified impact]

| Metric | Before | After | Change |
|--------|--------|-------|--------|

## Learnings
[Reflections and growth]

---

## Visual Asset List
[List of images/screenshots needed]

Case Study Quality Checklist

  • ✅ Clear problem statement
  • ✅ Evidence of user/customer focus
  • ✅ Process clearly explained
  • ✅ Your specific contributions are clear
  • ✅ Quantified results
  • ✅ Visual artifacts included
  • ✅ Honest about challenges/learnings
  • ✅ Appropriate length (3-10 min read)
  • ✅ Proofread and polished
  • ✅ Can discuss in detail in interview

Frequently asked questions

What does the Portfolio Case Study Writer AI skill do?

Transform resume bullets into detailed portfolio case studies

Why use Portfolio Case Study Writer on TypingMind?

Because you install it once and use it with any model. Portfolio Case Study Writer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Portfolio Case Study Writer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Paramchoudhary/ResumeSkills/tree/main/skills/portfolio-case-study-writer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Portfolio Case Study Writer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Portfolio Case Study Writer?

As many as you like. As long as a model supports skills, you can use Portfolio Case Study Writer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Portfolio Case Study Writer AI skill free?

Yes. It is published on GitHub by Paramchoudhary under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇