How does 'amlei resume' differ from just asking a standard AI to write my resume?

Unlike one-off prompts that forget your history, this skill uses a persistent `profile.md` file as a long-term memory layer, ensuring all generated resumes are consistent, evidence-based, and don't require you to re-upload your work history every session.

What are the technical requirements for the automated PDF export feature?

The skill uses `markitdown` for initial data extraction and requires a Python-capable environment to run the `Paged.js` export pipeline for professional A4 PDF rendering.

Can I generate multiple versions of my resume for different job industries at the same time?

Yes, the skill is designed to analyze a master profile and generate specific 'identity sub-folders' for different roles, such as pivoting from Backend Engineering to AI Product Management, while maintaining a single source of truth.

What exactly is included in the purchase of this skill?

You receive the core career memory framework, the targeted generation engine, custom HTML/CSS templates for A4 layouts, and the adversarial review sub-agent to verify your claims.

How does the skill ensure my resume doesn't sound like generic, AI-generated 'fluff'?

The skill includes an 'Adversarial Review' phase where a specialized sub-agent audits your resume for over-claims and inconsistencies to ensure all bullet points are backed by the evidence in your profile.

How is my personal contact information handled during the generation process?

The skill uses placeholders for sensitive contact information; you can manually update these in your `profile.md` or provide them during the final export phase to keep your data secure.

Works with the AI Agents you already use

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+18 agents

Amlei Resume

Manage a persistent career memory base to generate targeted, evidence-based resumes and A4 PDF exports.

Free

Security scanned

amlei-resume

Example session with this skill installed

I want to apply for a Senior Go Developer role at ByteDance. Use my existing profile.md to draft a targeted resume, then export it as a PDF using the professional theme.

Read your context and instructions
Compiled the amlei-resume

I have accessed your profile.md and initialized a new application tracking folder under identities/golang-senior/resumes/bytedance-2024/. Based on your recent project history with high-concurrency systems, I have drafted the markdown resume and prepared the export.

Resume Generation & Export Summary

Task	Status	Result
Profile Retrieval	Success	Loaded 4 core projects and 12 verified skills
Content Targeting	Success	Aligned Go concurrency and microservices evidence to JD
Adversarial Review	Passed	Verified metrics for "Project X" throughput claims
PDF Rendering	Success	Generated `export/简历.pdf` using Professional Theme
Image Export	Success	Created `export/简历_长图.png` for recruitment chat

Identity Profile Update


# profile.md Snippet (Updated)
## Professional Skills
- Backend: Expert in Go (Goroutines, Context, reflect); implemented distributed locking for 100k+ TPS system.
- Infrastructure: Proficient in K8s, Prometheus, and Redis Cluster management.

## Project: ByteDance Gateway Optimization
- role: Lead Backend Engineer
- period: 2023.06 — 2024.01
- achievements:
  - Optimized middleware latency by 15% using custom memory pooling.
  - Refactored gRPC service mesh integration, reducing inter-service overhead.

Next steps

Review the generated 简历.md in the identities/golang-senior/resumes/bytedance-2024/ directory for final wording.
Use the generated 简历_长图.png for direct submission in recruitment app chats.
Run the market research command if you need a specific competitive analysis for this role's salary range.

Connects securely to your tools. The creator never sees your data.

About this skill

High-quality resumes fail because they lack persistence and strategic alignment. This skill acts as a long-term memory layer for your career, maintaining a profile.md foundation that evolves across sessions. Instead of repeating your history to every new agent, you maintain a source of truth that powers targeted resume generation, market research, and automated PDF exports.

What it does

Persistent Career Memory manages a profile.md that tracks skills, projects, and evidence across sessions to prevent repetitive data entry.
Context-Aware Generation creates specific resume versions (e.g., Backend vs. AI Product) from the same core identity profile.
Evidence-Based Refinement extracts objective facts from project discussions and documents rather than relying on generic AI claims.
Automated Export Pipeline assembles HTML templates into A4 PDFs and generates long-form images for recruiting platforms.
Market Alignment performs optional web research on JD requirements to score and project your profile against specific roles.

How it works

Initialize Identity by reading or creating profile.md and extracting data from existing PDF/Docx resumes.
Define Target by providing a job description or direction to create a specific identity sub-folder.
Iterative Interview where the agent asks targeted questions about project metrics and roles to fill memory gaps.
Adversarial Review triggers a sub-agent to check for over-claims, role conflicts, and quantitative inconsistencies.
Export & Preview generates a styled HTML resume, checks pagination, and delivers a final PDF.

Frameworks & tools

Uses markitdown for document conversion, Paged.js for A4 layout management, and custom Python scripts for avatar extraction and image rendering.

Why this beats prompting it yourself

Generic prompts produce "fluff" and hallucinated metrics that fail technical screens. This skill enforces a "Memory First" architecture, ensuring every bullet point is backed by the evidence stored in your local identity vault.

Use cases

Converting a generic master resume into a targeted version for a specific tech stack.
Updating an old profile by chatting through a recently completed project to extract STAR-method bullets.
Generating platform-ready recruitment greetings and resume long-images for mobile chat apps.

Known limitations

Privacy data like phone numbers must be manually provided or will remain as placeholders. PDF styling is strictly bound to internal theme components and A4 pagination rules.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.