star-story-extraction

DanielPodolsky's avatarfrom DanielPodolsky

Auto-invoke after task completion to extract interview-ready STAR stories from completed work.

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When & Why to Use This Skill

The STAR Story Extraction skill is a specialized career development tool that automatically transforms completed technical tasks into high-impact interview narratives. By leveraging the Situation, Task, Action, and Result (STAR) framework, it helps professionals capture technical depth, ownership, and measurable outcomes immediately after task completion, ensuring critical details are preserved for future interviews and performance evaluations.

Use Cases

  • Interview Preparation: Automatically convert complex bug fixes or feature implementations into structured stories that answer behavioral questions like 'Tell me about a time you solved a difficult technical challenge.'
  • Performance Reviews: Generate a documented log of achievements with specific metrics and technical contributions to simplify the self-assessment process during quarterly or annual reviews.
  • Resume & Portfolio Building: Extract specific technical actions and quantified results from daily work to keep CVs, LinkedIn profiles, and personal portfolios updated with fresh, concrete examples.
  • Career Coaching & Mentorship: Help junior developers identify their unique contributions and 'ownership' moments by prompting them to reflect on technical trade-offs and decision-making processes.
nameSTAR Story Extraction
descriptionAuto-invoke after task completion to extract interview-ready STAR stories from completed work.

STAR Story Extraction

"Every feature you build is an interview answer waiting to be told."

Purpose

Transform completed work into compelling interview stories using the STAR method. These stories demonstrate real problem-solving ability.


The STAR Method

Component Question Focus
Situation "What was the context?" Set the scene, explain the problem
Task "What were YOU responsible for?" YOUR specific role and responsibility
Action "What did YOU do?" Specific technical actions YOU took
Result "What was the outcome?" Impact, metrics, improvements

Extraction Flow

Step 1: Identify the Story Type

What kind of problem did you solve?

Story Type Good For Questions Like
Technical challenge "Tell me about a difficult bug you solved"
Feature implementation "Describe a feature you're proud of"
Performance optimization "How did you improve system performance?"
Security fix "Tell me about a security issue you addressed"
Refactoring "Describe a time you improved code quality"
Learning curve "Tell me about a time you learned something quickly"

Step 2: Guide Through STAR

Situation (2-3 sentences)

"What was the context? What problem or challenge existed before you started?"

Good elements:

  • Business context (why it mattered)
  • Technical constraints
  • Scale/impact of the problem

Avoid:

  • Too much background
  • Irrelevant details
  • Blaming others

Task (1-2 sentences)

"What were YOU specifically responsible for? What was your role?"

Good elements:

  • Clear ownership
  • Specific scope
  • Why you were the one to do it

Avoid:

  • "We did this" (use "I")
  • Vague responsibilities

Action (The meat - 3-5 sentences)

"Walk me through the specific steps YOU took. Be technical."

Good elements:

  • Specific technologies used
  • Problem-solving approach
  • Trade-offs considered
  • Technical decisions made

Avoid:

  • Glossing over the how
  • Buzzword soup
  • "I just implemented it"

Result (1-2 sentences)

"What was the outcome? Can you quantify the impact?"

Good elements:

  • Metrics where possible (50% faster, 0 bugs in production)
  • Business impact
  • What you learned

Avoid:

  • "It worked" (too vague)
  • No mention of impact

Story Quality Checklist

  • Uses "I" not "we" (shows ownership)
  • Includes specific technologies
  • Demonstrates problem-solving
  • Shows technical depth
  • Has measurable result if possible
  • Is 2-3 minutes when spoken
  • Answers the implied "why hire you?"

Story Template

# STAR Story: [Feature/Problem Name]

**Date:** [When completed]
**Type:** [Technical Challenge / Feature / Performance / Security / Refactor]

## Situation
[The context. What problem existed? Why did it matter?]

## Task
[YOUR specific responsibility. What were YOU asked to do?]

## Action
[The specific steps YOU took. Be technical. Show your thought process.]

## Result
[The outcome. Metrics if possible. What impact did it have?]

---

## Interview Variations

This story can answer:
- "Tell me about a time you [X]"
- "Describe a challenging [Y] you worked on"
- "How did you approach [Z]?"

## Key Technical Points to Mention
- [Technology/pattern 1]
- [Technology/pattern 2]
- [Decision/trade-off made]

Example: Good vs Bad STAR

Bad Story

"I built a login form. It had validation. It worked."

Problems: No context, no challenge, no depth, no impact.

Good Story

Situation: Our SaaS application was experiencing a 40% drop-off during signup because the existing form had poor UX and no real-time validation, frustrating users.

Task: I was responsible for rebuilding the entire authentication flow, focusing on reducing friction while maintaining security.

Action: I implemented a multi-step form with real-time validation using React Hook Form for performance. I added JWT authentication with secure refresh token rotation to handle long sessions. The key challenge was balancing security (short token expiry) with UX (no jarring logouts), which I solved by implementing silent refresh 5 minutes before expiry.

Result: Sign-up completion improved by 35%, and we've had zero authentication-related security incidents since launch. The pattern I built is now used across our other products.


Socratic Story Questions

Guide the junior with these:

  1. Finding the story: "What was the hardest part of this feature?"
  2. Adding depth: "Walk me through your debugging process when X happened."
  3. Showing ownership: "What decision did YOU make that shaped this?"
  4. Quantifying results: "How would you measure the impact of this work?"
  5. Interview connection: "If an interviewer asked about [topic], how would this story fit?"

Common Story Mistakes

Mistake Fix
"We built..." Use "I implemented..."
Too long (10+ minutes) Cut to 2-3 minutes
No technical depth Add specific technologies and decisions
No result Always end with impact
Only happy path Include challenges overcome

Save Location

Stories are saved to:

mentorspec/career/stories/[date]-[feature-name].md

Example: mentorspec/career/stories/2026-01-15-jwt-auth.md

star-story-extraction – AI Agent Skills | Claude Skills