Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
OpenClaw pet companion skill. Manage adopted pets, run interactions, and produce pet image prompts.
OpenClaw pet companion skill. Manage adopted pets, run interactions, and produce pet image prompts.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Use this skill when the user wants to adopt a pet, check pet status, interact with the pet, or send a pet image. Pet status includes passive time-based updates, so each check-in can reflect elapsed time.
"ๆๆณ้คไธ้ป่ฒ" "ๆ็ๅฏต็ฉไปๅคฉ็ๆ ๅฆไฝ๏ผ" "ๅนซๆ้คต็ " "่ฎ็ ๆไธๅผต็ ง"
bash {baseDir}/scripts/clawpet.sh pets
bash {baseDir}/scripts/clawpet.sh adopt momo
bash {baseDir}/scripts/clawpet.sh status
bash {baseDir}/scripts/clawpet.sh interact feed bash {baseDir}/scripts/clawpet.sh interact play bash {baseDir}/scripts/clawpet.sh interact rest
bash {baseDir}/scripts/clawpet.sh prompt bash {baseDir}/scripts/clawpet.sh prompt --place "sunny window" --style "photorealistic, professional pet photography" Outputs the full image generation prompt text. Default style is photorealistic.
bash {baseDir}/scripts/clawpet.sh care bash {baseDir}/scripts/clawpet.sh care --action feed
Always call bash {baseDir}/scripts/clawpet.sh ... to avoid missing executable issues. When user says they want a pet, first run bash {baseDir}/scripts/clawpet.sh pets, then ask which one they want. For regular check-ins, run bash {baseDir}/scripts/clawpet.sh status. For daily care, prefer bash {baseDir}/scripts/clawpet.sh care; for explicit requests, run ... interact <action>.
When the user requests a pet image: Generate the prompt: bash {baseDir}/scripts/clawpet.sh prompt --place "cozy afternoon window" This outputs the full prompt text. Default style is photorealistic pet photography. Generate the image with nano-banana-pro: uv run /home/yaze/.npm-global/lib/node_modules/openclaw/skills/nano-banana-pro/scripts/generate_image.py \ --prompt "<prompt from step 1>" \ --filename "YYYY-MM-DD-HH-MM-pet-name.png" \ --resolution 1K This saves the image to /home/yaze/.openclaw/workspace/YYYY-MM-DD-HH-MM-pet-name.png Send the image with message tool: message(action="send", channel="telegram", media="/home/yaze/.openclaw/workspace/YYYY-MM-DD-HH-MM-pet-name.png", message="๐พ <pet_name> ็ๅณๆๅฟซ็ ง") Why this workflow: Uses Gemini (nano-banana-pro) for high-quality watercolor-style images Local file path works with message tool's media parameter Consistent with other OpenClaw image generation patterns
If clawpet command is not found, this skill wrapper auto-falls back to: uvx --from git+https://github.com/yazelin/clawpet.git clawpet ... uv tool run --from git+https://github.com/yazelin/clawpet.git clawpet ...
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.