Agent skill

Sn Image Resume

by OpenSenseNova in OpenSenseNova/SenseNova-Skills

Generates a designed portfolio-resume image from resume content provided in conversation text.

MITAuto-check passedBusiness, Finance & HR

Install Sn Image Resume

skills CLI

$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-image-resume -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install OpenSenseNova/SenseNova-Skills sn-image-resume --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sn-image-resume .claude/skills/sn-image-resume && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "sn-image-resume" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-image-resume into .claude/skills/sn-image-resume/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-image-resume", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-image-resume

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-image-resume -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install OpenSenseNova/SenseNova-Skills sn-image-resume --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sn-image-resume .agents/skills/sn-image-resume && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "sn-image-resume" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-image-resume into .agents/skills/sn-image-resume/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-image-resume", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-image-resume -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install OpenSenseNova/SenseNova-Skills sn-image-resume --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sn-image-resume .cursor/skills/sn-image-resume && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "sn-image-resume" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-image-resume into .cursor/skills/sn-image-resume/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-image-resume", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/OpenSenseNova/SenseNova-Skills.git --path skills/sn-image-resume

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-image-resume -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install OpenSenseNova/SenseNova-Skills sn-image-resume --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sn-image-resume .gemini/skills/sn-image-resume && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "sn-image-resume" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-image-resume into .gemini/skills/sn-image-resume/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-image-resume", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install OpenSenseNova/SenseNova-Skills sn-image-resume

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-image-resume -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sn-image-resume .github/skills/sn-image-resume && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "sn-image-resume" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-image-resume into .github/skills/sn-image-resume/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-image-resume", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-image-resume -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install OpenSenseNova/SenseNova-Skills sn-image-resume --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sn-image-resume .opencode/skills/sn-image-resume && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "sn-image-resume" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-image-resume into .opencode/skills/sn-image-resume/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-image-resume", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: sn-image-resume
GitHub stars: 5.7k
Token cost: ~2.5k tokens
SKILL.md length: 852 words
Files: 2
Skills in repo: 36
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Generates a designed portfolio-resume image from resume content provided in conversation text.

Works in 3 steps: Initialization → Resume Prompt Generation → Resume Image Generation
User asks to create resume image
SKILL.md covers Non-goals, Input Specification, API Configuration and Architecture: Main Agent +…, plus 4 more sections
Calls python; needs SN_API_KEY and SN_TEXT_API_KEY

What it does

Sn Image Resume is an agent skill from OpenSenseNova/SenseNova-Skills. Generates a designed portfolio-resume image from resume content provided in conversation text. Extracts optional style instructions, converts the resume into a fixed portfolio-resume layout prompt, and generates the final image through sn-image-base. Use when user asks to create "resume image", "portfolio resume", "简历图", "简历海报", or "个人简历视觉设计".

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `prompts/resume.md`).

It sits in Business, Finance & HR, covering Resume and CV writing. The repository describes itself as: Modular SenseNova skills for building AI-powered office assistants and productivity workflows. The licence is MIT.

When your agent uses it

User asks to create resume image
Portfolio resume

Example prompts

“resume image”
“portfolio resume”
“个人简历视觉设计”
“/sn-image-resume”

Requirements

Python 3
A credential in SN_TEXT_API_KEY
A credential in SN_CHAT_API_KEY

Workflow steps

3 steps, taken from the step headings in SKILL.md.

Initialization
Resume Prompt Generation
Resume Image Generation

What it can do on your machine

Read from SKILL.md and the folder at commit 7838651. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- SN_API_KEY
- SN_TEXT_API_KEY
- SN_CHAT_API_KEY
- SN_IMAGE_GEN_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sn Image Resume loads about 2.5k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 852 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~90
When it runs · the whole SKILL.md, loaded when a task matches: ~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from OpenSenseNova/SenseNova-Skills at commit 7838651, republished under its MIT licence (© OpenSenseNova). 852 words, ~2,470 tokens.

Download SKILL.mdSave it as .claude/skills/sn-image-resume/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: sn-image-resume
description: Generates a designed portfolio-resume image from resume content provided in conversation text. Extracts optional style instructions, converts the resume into a fixed portfolio-resume layout prompt, and generates the final image through sn-image-base. Use when user asks to create "resume image", "portfolio resume", "简历图", "简历海报", or "个人简历视觉设计".
metadata.project: SenseNova-Skills
metadata.tier: 1
metadata.category: scene
metadata.priority: 8
metadata.user_visible: true
triggers: resume image, portfolio resume, visual resume, resume poster, CV image, 简历图, 简历海报, 可视化简历, 个人简历视觉设计, 作品集简历

sn-image-resume

Resume image generation scene skill (tier 1), relying on the sn-text-optimize and sn-image-generate tools provided by sn-image-base (tier 0).

Features:

Accepts resume content directly from conversational text
Supports optional user-provided style direction
Applies the fixed portfolio-resume layout rules in prompts/resume.md
Generates a tall designed resume image through sn-image-generate

Non-goals

Editing or polishing a plain text resume document without generating an image
Parsing uploaded resume files as the primary input format
Creating a conventional single-column ATS resume
Guaranteeing exact preservation of every long paragraph when the image layout requires compression

Input Specification

Parameter	Type	Default Value	Description
`resume_content`	string	Required	Resume text provided by the user in conversation, including name, profile, education, experience, skills, projects, contact details, etc.
`style`	string	Optional	User-specified visual style, tone, color palette, profession aesthetic, or reference mood. May be embedded in `resume_content`.
`aspect_ratio`	string	`9:16`	Output aspect ratio. Allowed values: `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `1:1`, `16:9`, `9:16`, `21:9`, `9:21`. Default is `9:16` (vertical) because the template is a tall stacked portfolio-resume page.
`image_size`	string	`2k`	Image size preset, `1k` or `2k`.
`output_mode`	string	`friendly`	Output mode: `friendly` or `verbose`.

API Configuration

All API calls in this skill are executed through the sn_agent_runner.py of the sn-image-base skill, with authentication parameters using default values (CLI > environment variables > built-in defaults), so they do not need to be passed explicitly in normal use.

Call Type	Tool	Authentication Parameters	Description
LLM	`sn-text-optimize`	Default reads `SN_TEXT_API_KEY` -> `SN_CHAT_API_KEY` -> `SN_API_KEY`	Converts user resume text into a detailed image generation prompt using `prompts/resume.md` as the system prompt
Image Generation	`sn-image-generate`	Default reads `SN_IMAGE_GEN_API_KEY` -> `SN_API_KEY`	Generates the final resume image

If all capabilities use the same gateway, configure only:

ini

SN_BASE_URL="https://your-api-endpoint.com/v1"
SN_API_KEY="your-api-key"

When encountering MissingApiKeyError or needing to specify a model: pass parameters explicitly via CLI. See $SN_IMAGE_BASE/references/api_spec.md.

$SN_IMAGE_BASE path explanation: $SN_IMAGE_BASE is the installation directory of the sn-image-base skill (SKILL.md exists). The agent can locate this path by skill name sn-image-base.

Architecture: Main Agent + Worker Agent

This skill uses a two-tier agent architecture:

Role	Responsibility
Main Agent	Receive user request, normalize parameters, send preflight, start Worker, collect result, and send final text/image to user
Worker Agent	Execute prompt generation and image generation, then return structured JSON

Responsibility Boundaries:

Worker Agent does not send any messages to the user directly, only returns structured JSON
Main Agent is responsible for all user-visible messages
Worker Agent's last message must be and only be the JSON string defined in the Return Contract
Worker Agent's low-level API calls execute directly through sn-image-base, without spawning nested subagents

Workflow

Main Agent Workflow

Extract resume_content, optional style, aspect_ratio (default 9:16), image_size (default 2k), and output_mode (default friendly) from the user request
Validate that resume_content is non-empty and contains enough resume information to generate a meaningful page
Validate aspect_ratio against the allowed values: 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 1:1, 16:9, 9:16, 21:9, 9:21. If the user-provided value is not in this list, inform the user and fall back to the default 9:16
Send uniform preflight message: "Using sn-image-resume skill to generate a resume image, please wait..."
Start Worker Agent, passing in complete parameters and working directory
When Worker Agent returns:
- status=ok: send a short summary and the generated image
- status=error: report the real error field content to the user

Show full SKILL.md (340 more words)Show less

Worker Agent Workflow

Worker Agent receives resume_content, style, aspect_ratio, image_size, output_mode, and the working directory of this skill (SKILL_DIR).

Step 0 — Initialization

Generate task_id using timestamp format YYYYMMDD_HHMMSS
Create temporary directory: /tmp/openclaw/sn-image-resume/<task_id>/ as TEMP_DIR
Persist normalized inputs:

bash

echo "$RESUME_CONTENT" > "$TEMP_DIR/resume-content.txt"
echo "$STYLE" > "$TEMP_DIR/style.txt"

Step 1 — Resume Prompt Generation

Use prompts/resume.md as the system prompt and call sn-text-optimize to convert the user resume content into a detailed image generation prompt.

bash

USER_PROMPT=$(cat << EOF
Resume content:
$RESUME_CONTENT

Optional style instruction:
${STYLE:-No explicit style instruction. Infer an appropriate professional visual style from the resume content.}

Task:
Convert the resume content into a complete text-to-image prompt for a tall portfolio-resume image.
Follow the fixed layout, language, content mapping, typography, panel, and style translation rules in the system prompt.
Return only the final image generation prompt. Do not include explanations, markdown fences, or alternative options.
EOF
)

python "$SN_IMAGE_BASE/scripts/sn_agent_runner.py" sn-text-optimize \
  --system-prompt-path "$SKILL_DIR/prompts/resume.md" \
  --user-prompt "$USER_PROMPT" \
  --output-format json

Parse JSON stdout and extract result as generation_prompt. If the process exits non-zero, returns invalid JSON, or result is empty, return status=error with the actual error.

Persist output:

bash

echo "$GENERATION_PROMPT" > "$TEMP_DIR/generation-prompt.txt"

Step 2 — Resume Image Generation

Generate the final image using sn-image-base's sn-image-generate tool.

bash

python "$SN_IMAGE_BASE/scripts/sn_agent_runner.py" sn-image-generate \
  --prompt "$GENERATION_PROMPT" \
  --image-size "$IMAGE_SIZE" \
  --aspect-ratio "$ASPECT_RATIO" \
  --save-path "$TEMP_DIR/resume.png" \
  --output-format json

Parse JSON stdout. If generation fails, return status=error with the actual error. The generated image path is $TEMP_DIR/resume.png.

Error Handling Rules

If required resume content is missing, ask the user to provide resume text before starting generation
If sn-text-optimize fails or returns an empty result, stop and report the real error
If sn-image-generate fails, stop and report the real error
Do not silently substitute a generic resume prompt when user content is incomplete or prompt generation fails
Do not invent factual resume details that the user did not provide; only reorganize, condense, and visually map provided information

Return Contract

After Worker Agent completes, its last message must be and only be the following JSON string (bare JSON, no code fences, no preceding or trailing text).

Normal Flow:

json

{
  "status": "ok",
  "need_main_agent_send": true,
  "output_mode": "friendly|verbose",
  "image": "$TEMP_DIR/resume.png",
  "generation_prompt": "<included only when output_mode=verbose>",
  "timing": {
    "total_elapsed_seconds": 25.12,
    "prompt_generation": { "elapsed_seconds": 5.23, "model": "sensenova-6.8-flash-lite" },
    "image_generation": { "elapsed_seconds": 19.89, "model": "sn_image_model" }
  }
}

Error Flow:

json

{
  "status": "error",
  "error": "<Actual error information>"
}

Rules:

status=ok must contain need_main_agent_send: true
generation_prompt must contain when output_mode=verbose; omit it in friendly mode
timing.prompt_generation.elapsed_seconds and timing.prompt_generation.model are read from sn-text-optimize JSON output
timing.image_generation.elapsed_seconds is read from sn-image-generate JSON output
timing.image_generation.model is fixed to "sn_image_model" because sn-image-generate does not return a model field

Output Format

friendly mode (default)

Text Summary: one sentence describing that the resume image has been generated, no more than 50 words.

Image: send the single generated resume image.

verbose mode

text

Resume image generated
---
Aspect ratio: <aspect_ratio>
Image size: <image_size>
---
Generation prompt:
<generation_prompt>
---
Time statistics: Total <total>s | Prompt generation <t>s | Image generation <t>s
---
Image:
<image path>

Call Relationship

Bottom-level dependency: sn-image-base → sn-text-optimize, sn-image-generate
System prompt: prompts/resume.md

References

prompts/resume.md - Fixed portfolio-resume layout and language/content mapping rules
../sn-image-base/SKILL.md - Base-layer image/text tool behavior
../sn-image-base/references/api_spec.md - CLI parameter details

Files

SKILL.md and 1 other file in skills/sn-image-resume of OpenSenseNova/SenseNova-Skills.

SKILL.md
prompts/resume.md

Open the folder on GitHubat commit 7838651

Compare with similar skills

Sn Image Resume next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Sn Image Resume compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Sn Image Resume this skillOpenSenseNova/SenseNova-Skills	5.7k	—	~2.5k	Automated safety check: Pass	MIT	2 days ago
Career-Ops Job Search Centercareer-ops-hq/career-ops	74k	—	~3.6k	Automated safety check: Pass	MIT	today
Reactive Resume Builderreactive-resume/reactive-resume	44k	—	~2k	Automated safety check: Pass	MIT	yesterday
Internship Project Preparation ToolLiuMengxuan04/shushu-internship-tool	2.1k	—	~2.3k	Automated safety check: Pass	Custom licence	3 mo ago
Resume Tailoringvarunr89/resume-tailoring-skill	769	1 repos	~8.9k	Automated safety check: Pass	MIT	7 mo ago
Offer Negotiationreactive-resume/reactive-resume	44k	—	~10k	Automated safety check: Pass	MIT	yesterday

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Questions about Sn Image Resume

What does Sn Image Resume do?

Generates a designed portfolio-resume image from resume content provided in conversation text. Sn Image Resume is an agent skill from OpenSenseNova/SenseNova-Skills. Generates a designed portfolio-resume image from resume content provided in conversation text.

When should I use Sn Image Resume?

Sn Image Resume fits situations like: user asks to create resume image; portfolio resume.

How do I install Sn Image Resume in Claude Code?

Run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-image-resume -a claude-code`. Or copy the skill folder (skills/sn-image-resume in OpenSenseNova/SenseNova-Skills) into .claude/skills/sn-image-resume in your project. Claude Code loads it when a task matches its description.

How do I install Sn Image Resume in Codex?

Run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-image-resume -a codex`. Or copy the skill folder (skills/sn-image-resume in OpenSenseNova/SenseNova-Skills) into .agents/skills/sn-image-resume in your project. Codex loads it when a task matches its description.

Can I use Sn Image Resume in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-image-resume -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sn-image-resume, .gemini/skills/sn-image-resume, .github/skills/sn-image-resume and .opencode/skills/sn-image-resume in your project.

What does Sn Image Resume need to run?

Going by SKILL.md and its folder, Sn Image Resume needs the command-line tools its instructions call (python) and credentials named SN_API_KEY, SN_TEXT_API_KEY, SN_CHAT_API_KEY and SN_IMAGE_GEN_API_KEY. Our summary lists: Python 3; A credential in SN_TEXT_API_KEY; A credential in SN_CHAT_API_KEY.

Does Sn Image Resume access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sn Image Resume safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Sn Image Resume use?

Sn Image Resume is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sn Image Resume use?

About 2.5k tokens (SKILL.md is roughly 9.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Sn Image Resume?

Skills that share tags, products or a category with Sn Image Resume: Career-Ops Job Search Center (career-ops-hq/career-ops, 74k stars), Reactive Resume Builder (reactive-resume/reactive-resume, 44k stars), Internship Project Preparation Tool (LiuMengxuan04/shushu-internship-tool, 2.1k stars) and Resume Tailoring (varunr89/resume-tailoring-skill, 769 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sn Image Resume?

OpenSenseNova (a GitHub organization) maintains it in OpenSenseNova/SenseNova-Skills, which has 5,749 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 9, 2026.

Source: OpenSenseNova/SenseNova-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Sn Image Resume

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

sn-image-resume

Non-goals

Input Specification

API Configuration

Architecture: Main Agent + Worker Agent

Workflow

Main Agent Workflow

Worker Agent Workflow

Step 0 — Initialization

Step 1 — Resume Prompt Generation

Step 2 — Resume Image Generation

Error Handling Rules

Return Contract

Output Format

friendly mode (default)

verbose mode

Call Relationship

References

Files

Compare with similar skills

Similar skills

More from OpenSenseNova/SenseNova-Skills

Related

Questions about Sn Image Resume