Skills

Portfolio Case Study

Turns a real project or resume achievement into a portfolio case study or work-sample...

Install

npx skills add reactive-resume/reactive-resume --skill portfolio-case-study -g -a claude-code -y
Category
Design
Updated
3d ago
License
MIT
Context cost
Lightabout 908 tokens
Runs scripts
No, instructions only

What it does

Turns a real project or resume achievement into a portfolio case study or work-sample narrative. Use for design, product, engineering, data, marketing or writing portfolios where decisions, individual contribution and evidence matter; not for invented client success stories or general blog content.

Portfolio Case Study

Use the user's evidence, never facts or numbers from worked examples. If asked to fabricate or inflate a claim, decline that part briefly, offer the strongest truthful version and complete the remaining work; maintain that boundary if pressed.

Explain how the user worked, what they decided and what the evidence actually shows. Produce a case study draft from supplied material; no publishing tools or account are required.

Gather the project

Identify the audience, the user's role, collaborators, timeframe, problem, constraints, key decisions, delivered artifact and observed result. Ask only for missing details that affect the story. Determine which names, screenshots, code and measurements are permitted to be public before using them.

Classify the work honestly: shipped product, internal project, prototype, coursework, personal project or retrospective concept. An unshipped redesign is not evidence of commercial impact.

Build the narrative

  1. Overview: what the project addressed, the user's actual responsibility, team context and delivery status.
  2. Problem: who experienced it and what evidence established it. Separate an initial hypothesis from a confirmed finding.
  3. Decisions: the meaningful alternatives, constraints and tradeoffs. Show why the chosen approach fit; do not invent research sessions, rejected concepts or methods for a tidier story.
  4. Work: the user's contribution and the resulting artifact. Explain team responsibilities without claiming sole authorship.
  5. Results: what was measured or observed, with baseline, unit, population and period where supplied. Separate experiment results, before/after observations and qualitative feedback; do not turn correlation into causation.
  6. Reflection: an actual lesson or limitation. Ask for the user's reflection when unknown, rather than manufacture a failure-and-growth arc.
Read the whole SKILL.md on GitHub

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