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sn-image-resume

Turn resume text shared in conversation into a designed portfolio resume image. Apply a fixed layout, incorporate optional style and color preferences, and generate a vertical image presenting the supplied experience, skills, and projects.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

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".

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Creating a visual resume from text shared in conversation
  • Presenting experience, skills, and projects in one image
  • Styling a resume image with preferred colors and mood
  • Generating a vertical portfolio resume image

포함된 파일(2)

  • SKILL.md9.7 KB
  • prompts/resume.md12.5 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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

ParameterTypeDefault ValueDescription
resume_contentstringRequiredResume text provided by the user in conversation, including name, profile, education, experience, skills, projects, contact details, etc.
stylestringOptionalUser-specified visual style, tone, color palette, profession aesthetic, or reference mood. May be embedded in resume_content.
aspect_ratiostring9:16Output 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_sizestring2kImage size preset, 1k or 2k.
output_modestringfriendlyOutput 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 TypeToolAuthentication ParametersDescription
LLMsn-text-optimizeDefault reads SN_TEXT_API_KEY -> SN_CHAT_API_KEY -> SN_API_KEYConverts user resume text into a detailed image generation prompt using prompts/resume.md as the system prompt
Image Generationsn-image-generateDefault reads SN_IMAGE_GEN_API_KEY -> SN_API_KEYGenerates the final resume image

If all capabilities use the same gateway, configure only:

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:

RoleResponsibility
Main AgentReceive user request, normalize parameters, send preflight, start Worker, collect result, and send final text/image to user
Worker AgentExecute 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

  1. Extract resume_content, optional style, aspect_ratio (default 9:16), image_size (default 2k), and output_mode (default friendly) from the user request
  2. Validate that resume_content is non-empty and contains enough resume information to generate a meaningful page
  3. 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
  4. Send uniform preflight message: "Using sn-image-resume skill to generate a resume image, please wait..."
  5. Start Worker Agent, passing in complete parameters and working directory
  6. 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

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

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

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:

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.

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:

{
  "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:

{
  "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

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

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