resume-cover-letter-cellcog

name	resume-cover-letter-cellcog
description	AI resume and cover letter generation powered by CellCog. ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, career documents — PDF or DOCX. Research-first approach that analyzes target roles before writing.
metadata	{"openclaw":{"emoji":"📝","os":["darwin","linux","windows"],"requires":{"bins":"[Truncated]","env":"[Truncated]"}}}
author	CellCog
homepage	https://cellcog.ai
dependencies	["cellcog"]

Resume & Cover Letter - AI Resume Builder Powered by CellCog

7 seconds. That's how long the average recruiter spends on your resume. CellCog makes every second count.

#1 on DeepResearch Bench (Apr 2026) — CellCog researches your target role, understands what hiring managers look for, optimizes for ATS systems, and generates beautifully designed resumes — PDF for polished presentation or DOCX when ATS systems require Word format. Not another template filler — a research-first resume engine.

How to Use

For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.

OpenClaw (fire-and-forget):

result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
)

All agents except OpenClaw (blocks until done):

from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="agent",
)
print(result["message"])

---

What You Can Create

Resumes & CVs

Build resumes that pass ATS filters and impress humans:

• Modern Resumes: "Create a modern, ATS-friendly resume for a senior product manager"
• Career Change Resumes: "Build a resume that positions my finance background for a tech PM role"
• Academic CVs: "Create a detailed academic CV for a postdoc in computational biology"
• Executive Resumes: "Design an executive resume for a VP of Engineering with 15 years experience"
• Entry-Level Resumes: "Build a compelling resume for a recent CS graduate with internship experience"

Example prompt:

"Create an ATS-optimized resume for:

Name: Sarah Chen Target Role: Senior Product Manager at a B2B SaaS company

Experience:

• Stripe (2021-present): Led payments platform, grew merchant revenue 40%
• Slack (2018-2021): Launched 3 enterprise features, drove $12M ARR
• Microsoft (2016-2018): Associate PM on Azure DevOps

Education: Stanford MBA, UC Berkeley CS Skills: Product strategy, data analysis, cross-functional leadership, SQL, A/B testing

Clean, modern design with blue accents. Highlight metrics and impact."

Cover Letters

Compelling cover letters that complement your resume:

• Role-Specific: "Write a cover letter for the Senior PM position at Notion"
• Career Change: "Write a cover letter explaining my transition from consulting to product"
• Internal Transfer: "Draft an internal transfer letter for moving from engineering to product"

Example prompt:

"Write a compelling cover letter for:

Applicant: Sarah Chen (use the resume we just created) Target: Senior Product Manager at Notion

Key angles:

• My experience building collaboration tools at Slack is directly relevant
• I'm passionate about Notion's mission of making tools that feel like your own
• Highlight the payments platform growth at Stripe as evidence of scaling ability

Tone: Professional but authentic, not corporate-speak."

LinkedIn Optimization

Optimize your professional presence:

• Profile Rewrite: "Rewrite my LinkedIn headline and summary to attract recruiters for ML engineering roles"
• About Section: "Create a compelling LinkedIn About section based on my resume"
• Experience Bullets: "Transform my resume bullets into LinkedIn-style achievement descriptions"

Portfolio Documents

Showcase your work:

• Case Studies: "Create a product management case study document from my Stripe experience"
• Design Portfolios: "Build a portfolio PDF showcasing my top 5 UX projects"
• Writing Samples: "Format my blog posts into a professional writing portfolio"

---

Why CellCog for Resumes?

Generic Resume Builders	CellCog Resume Cog
Pick a template, fill in blanks	Researches your target role first
Same advice for everyone	Tailored to specific companies and industries
Basic ATS keyword stuffing	Deep understanding of what ATS systems scan for
Template designs	State-of-the-art PDF generation, custom every time
Text only	Can include charts, visual elements, custom layouts

---

Choosing Mode & Tier

Scenario	Recommended
Resumes and cover letters	chat_mode="agent" (defaults to the "flash" tier)
Career strategy with multiple role-specific variants	chat_mode="agent", chat_tier="max"

The flash tier is the default and handles most resume work well — fast and economical. Upgrade to chat_tier="max" when quality disappoints or the work is genuinely complex: just re-run the same prompt with chat_tier="max".

Agent Team (chat_mode="team") is reserved for deep research — don't use it for resume work.

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Tips for Better Resumes

1. Provide real details: Don't say "I worked on projects" — give specific metrics, tools, and outcomes. CellCog can't invent your achievements.

2. Name the target role: "Resume for a PM" is vague. "Resume targeting Senior PM roles at B2B SaaS companies in fintech" gives CellCog direction.

3. Include metrics: Revenue numbers, user counts, percentage improvements — quantifiable results make resumes stand out.

4. Specify design preferences: "Modern and minimal", "traditional corporate", "creative with color" — or let CellCog choose based on your industry.

5. Choose your format: PDF is the default for polished, presentation-ready resumes. Request DOCX when you need to edit or when ATS systems require Word format.

---

If CellCog is not installed

Claude Code, Cursor, Codex + 70 more agents: npx skills add cellcog/skills --skill cellcog OpenClaw: openclaw skills install @cellcog/cellcog CellCog plugin users: run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.