What makes Resume notable?

2.7K downloads. Trust evidence available

How should Resume be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Resume

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. Skill: Resume Owner: cellcog Summary: 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. Tags: latest:1.0.16 Version history: v1.0.16 | 2026-08-24T02:01:58.011Z | user Content updated. v1.0.15 | 2026-08-24T01:46:27.925Z | user Content updated. v1.0.14

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.7k

Updated

Oct 9, 2026

Version

1.0.16

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.7K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2.7K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.16release · observed Aug 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s176q1btpn094ats9b4f9hgfwx83knpk:resume-cover-letter-cellcog

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-resume-cover-letter-cellcog/snapshot"

Documentation

CLAWHUB

85,241 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
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: [python3]
      env: [CELLCOG_API_KEY]
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):**
```python
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):**
```python
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"
- **Care

_meta.json

{
  "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm",
  "slug": "resume-cover-letter-cellcog",
  "version": "1.0.16",
  "publishedAt": 1787536918011
}

skill-card.md

## Description:

AI resume and cover letter generation powered by CellCog for ATS-optimized resumes, CVs, cover letters, LinkedIn profiles, and career documents in PDF or DOCX.

This skill is ready for commercial/non-commercial use.

## Publisher:

[cellcog](https://clawhub.ai/user/cellcog)

### License/Terms of Use:

MIT-0

## Use Case:

External users and career-focused agents use this skill to create and refine resumes, CVs, cover letters, LinkedIn profile text, and portfolio documents tailored to target roles.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Setup commands may install an unpinned CellCog package or skill release.

Mitigation: Install from trusted sources, prefer a pinned or reviewed release, and use a virtual environment where practical.

Risk: Resume, LinkedIn, and career details may be sent to CellCog during API-backed document generation.

Mitigation: Share only information the user is comfortable sending to CellCog and avoid unnecessary sensitive personal details.

Risk: CELLCOG_API_KEY is required for operation and could expose account access if mishandled.

Mitigation: Store the API key in the environment or a secrets manager and avoid placing it in prompts, generated files, or logs.

## Reference(s):

- [ClawHub Skill Page](https://clawhub.ai/cellcog/skills/resume-cover-letter-cellcog)
- [CellCog Homepage](https://cellcog.ai)

## Skill Output:

**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance, files]

**Output Format:** [Markdown guidance with Python examples and generated career documents such as PDF or DOCX when requested through CellCog.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires python3, the cellcog dependency, and CELLCOG_API_KEY for CellCog API-backed generation.]

## Skill Version(s):

1.0.16 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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