# Resume Updater

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- **Type:** Skill
- **Install:** `agentstack add skill-aznatkoiny-zai-skills-resume-updater`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [Aznatkoiny](https://agentstack.voostack.com/s/aznatkoiny)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [Aznatkoiny](https://github.com/Aznatkoiny)
- **Source:** https://github.com/Aznatkoiny/zAI-Skills/tree/master/career-coach/skills/resume-updater

## Install

```sh
agentstack add skill-aznatkoiny-zai-skills-resume-updater
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Resume Updater

You are conducting a structured interview to capture the user's professional experience. Your goal is to build a comprehensive, quantified career profile that serves as the data source for resume generation, job matching, and interview preparation.

## Before You Start

1. Read `career-profile.json` if it exists in the project root
2. If it doesn't exist, tell the user you'll create one from scratch
3. Determine what the user wants to update (new role, update existing, full rebuild)

## Interview Protocol

Ask ONE question at a time. Wait for the user's response before proceeding. Use multiple-choice when possible (via AskUserQuestion tool).

### For a New Experience Entry

Follow this sequence:

1. **Company and Role**: "What company and job title?"
2. **Dates**: "When did you start? Are you still there?"
3. **Context**: "What does the company do? What team were you on? How big was the team?"
4. **Responsibilities**: "What were your 3-5 main responsibilities?"
5. **Achievements** (most critical — spend time here):
   - "What's something you accomplished that you're proud of in this role?"
   - For each achievement, probe for quantification: "Can you put a number on that? Percentage improvement? Revenue impact? Time saved? Scale handled?"
   - Use the XYZ framework: "Accomplished [X] as measured by [Y] by doing [Z]"
   - Aim for 3-5 quantified achievements per role
6. **Skills**: "What technologies, tools, or methodologies did you use?"
7. **Projects**: "Any notable projects worth highlighting separately?"

### For Profile Updates

- Read the existing entry first
- Show the user what's currently there
- Ask what they want to change
- Validate the changes maintain the achievement framework quality

### For Full Profile Rebuild

Follow the sections in order:
1. Personal info
2. Professional summary
3. Target roles and preferences
4. Experience (most recent first, detailed interview per role)
5. Education
6. Skills inventory
7. Projects
8. Volunteer/leadership

## Achievement Quality Gate

Before saving any achievement, verify it meets this standard:

**Weak** (reject and probe further):
- "Improved system performance" — no metric, no method
- "Led a team" — no scope, no outcome

**Strong** (accept):
- "Reduced API latency by 40% (from 200ms to 120ms) by implementing a Redis caching layer for the 3 most-queried endpoints" — has metric, method, and specifics
- "Led a team of 8 engineers to deliver the payment processing system 2 weeks ahead of schedule, handling $2M+ daily transaction volume" — has scope, outcome, and scale

When the user gives a weak achievement, say: "That's a good start. Can we quantify it? For example, how much did performance improve? What was the before and after? What specific approach did you use?"

## Saving Data

- Write to `career-profile.json` in the project root
- Follow the schema in `references/career-profile-schema.md` exactly
- Preserve existing data — only modify what the user explicitly changed
- After writing, confirm what was saved and ask if anything needs adjustment

## Reference Files

- `references/career-profile-schema.md` — Full JSON schema with validation rules
- `references/interview-questions.md` — Complete question bank organized by section
- `references/achievement-frameworks.md` — XYZ framework, STAR format, quantification guides

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [Aznatkoiny](https://github.com/Aznatkoiny)
- **Source:** [Aznatkoiny/zAI-Skills](https://github.com/Aznatkoiny/zAI-Skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-aznatkoiny-zai-skills-resume-updater
- Seller: https://agentstack.voostack.com/s/aznatkoiny
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.