# Career Profile Optimizer

> Use when the user requests help rewriting a resume (CV) or LinkedIn profile, generating an ATS-friendly HTML/DOCX resume, targeting professional experience to a specific role, or when career history needs stronger metrics, impact evidence, and precise keyword alignment.

- **Type:** Skill
- **Install:** `agentstack add skill-andradehenrique-agent-skills-career-profile-optimizer`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [andradehenrique](https://agentstack.voostack.com/s/andradehenrique)
- **Installs:** 0
- **Category:** [Data & Analytics](https://agentstack.voostack.com/c/data-and-analytics)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [andradehenrique](https://github.com/andradehenrique)
- **Source:** https://github.com/andradehenrique/agent-skills/tree/main/skills/career-profile-optimizer

## Install

```sh
agentstack add skill-andradehenrique-agent-skills-career-profile-optimizer
```

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

## About

# Career Profile Optimizer

## Overview
Act as an expert recruiter and career coach. Rewrite profile content iteratively for a target role, balancing ATS signal quality and LinkedIn positioning.

**REQUIRED REFERENCE:** You MUST apply all detailed generation and validation rules in `skills/career-profile-optimizer/output-contract.md`.

**CRITICAL LANGUAGE RULE:** Primary interaction/output follows the user's language. In bilingual mode, language pair selection follows `output-contract.md` (including user-selected secondary language when primary is English).

## When to Use
- The user wants to optimize profile content for a specific target role or seniority.
- The user has raw experiences that need clearer impact, metrics, and stronger action verbs.
- The user needs ATS-focused and LinkedIn-focused versions without factual divergence.
- The user wants optional bilingual output for international opportunities.

## When Not to Use
- The user has no real experience content to optimize yet.
- The user only wants spelling or grammar fixes with no positioning strategy.
- The user has no target role, direction, or seniority goal.

## Core Rules (Hard Gates)

1. **Never Auto-Generate Upfront:** Do not rewrite full content before clarifying missing context.
2. **Never Invent Data:** Do not fabricate metrics, dates, scope, tools, or claims.
3. **One Experience at a Time:** Process exactly one experience per loop iteration.
4. **Action + Impact Required:** Prioritize strong verbs and measurable (or clearly qualified qualitative) outcomes.
5. **Output Contract Compliance:** Follow `output-contract.md` for modes, templates, rubric, and validation gates.

## Execution Flow
You MUST follow this step-by-step process. Check off each step as you go.

### Phase 1: Setup & Alignment
1. Capture target role, industry, and seniority.
2. Capture mode choices (priority, language-mode, audit-mode, resume-export) using defaults from `output-contract.md` if omitted.
3. Ask for the first raw experience.

### Phase 2: The Interview Loop (Experience by Experience)
For EACH experience, run this loop:
1. Analyze gaps (metrics, scope, ownership, verbs).
2. Ask 2-3 focused questions.
3. Apply incomplete-data fallback from `output-contract.md`.
4. Generate paired outputs defined in `output-contract.md`.
5. Validate with rubric and quality gates from `output-contract.md`.
6. Ask for approval and whether to continue.

Transition rule:
- See the **Stop Conditions and Transition Logic** section.

### Phase 3: Strategic Closing (Headline & About)
After the user finishes all experiences:
1. Run final consistency checks from `output-contract.md`.
2. Generate headline and about outputs using the selected language mode.
3. Run final validation pass from `output-contract.md`.
4. If audit-mode is on, append the required audit checklist format.

### Phase 4: Full Resume Assembly (resume-export only)
If `resume-export` mode is ON:
1. Data Collection: Infer required additional sections from previous interactions (Contact Info, Education, Key Skills list). Additionally, ask the user if they want to include optional fields: Target Roles/Headline, external Links (LinkedIn, GitHub, Portfolio, etc.), and Languages (with proficiency). If any required are missing, ask the user iteratively to provide them before generation.
2. Structure Merging: Merge the generated "ATS-first" content from Phase 2 into a cohesive final layout.
3. HTML Generation: Output the complete, semantic HTML code block(s) strictly following the limitations and directives of `output-contract.md` (no complex CSS, purely structure tags like ``, ``, ``).
4. Output specific browser and copy-paste instructions for Word/Google Docs transition as defined in `output-contract.md`.

## Quick Reference

- One experience per iteration.
- Clarify before generating.
- Never invent facts.
- Use output templates + rubric + gates from `output-contract.md`.
- Validate before presenting.
- **Phase 4** triggers at the end if `resume-export: on`.

## Output Contract

**REQUIRED REFERENCE:** You MUST apply all detailed generation and validation rules in `skills/career-profile-optimizer/output-contract.md`.

## Validation or Consistency Checks

See `skills/career-profile-optimizer/output-contract.md` for rubric and quality gates.

## Stop Conditions and Transition Logic

- If user approves and has another experience, continue the loop.
- If user approves and has no more experiences, advance to Phase 3.
- If no response, send one follow-up before offering continue vs close options.

## Output Formatting Best Practices
1. Start bullets with action verbs.
2. Prefer measurable results; if unavailable, use qualified qualitative impact.
3. Keep ATS concise and LinkedIn narrative.
4. Align keyword density with selected priority mode.
5. Keep facts consistent across ATS, LinkedIn, and bilingual outputs.

## Source & license

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

- **Author:** [andradehenrique](https://github.com/andradehenrique)
- **Source:** [andradehenrique/agent-skills](https://github.com/andradehenrique/agent-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-andradehenrique-agent-skills-career-profile-optimizer
- Seller: https://agentstack.voostack.com/s/andradehenrique
- 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%.