How do I install the Aliyun Emoji skill?

Run npx skillmds@latest add cinience/aliyun-emoji in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Aliyun Emoji safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Aliyun Emoji?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Aliyun Emoji free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Aliyun Emoji?

cinience (@cinience) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Aliyun Emoji by cinience — Agent Skill

Name: Aliyun Emoji
Rating: 4.2 (5 reviews)
Author: cinience

Aliyun Emoji

Use when generating template-driven emoji videos with Alibaba Cloud Model Studio Emoji (`emoji-v1`) from a detected portrait image. Use when producing fixed-style meme or emoji motion clips from a single face image and a selected template ID.

cinience Updated Sep 9, 2026

File contents

Category: provider

Model Studio Emoji

Validation

mkdir -p output/aliyun-emoji
python -m py_compile skills/ai/video/aliyun-emoji/scripts/prepare_emoji_request.py && echo "py_compile_ok" > output/aliyun-emoji/validate.txt

Pass criteria: command exits 0 and output/aliyun-emoji/validate.txt is generated.

Output And Evidence

Save normalized request payloads, detected face boxes, selected template ID, and task polling snapshots under output/aliyun-emoji/.
Record the exact portrait URL and whether detection passed.

Use Emoji when the user wants a fixed-template facial animation clip rather than open-ended video generation.

Critical model names

Use these exact model strings:

emoji-detect-v1
emoji-v1

Selection guidance:

Run emoji-detect-v1 first to obtain face_bbox and ext_bbox_face.
Use emoji-v1 only after detection succeeds.

Prerequisites

China mainland (Beijing) only.
Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.
Input image must be a public HTTP/HTTPS URL.

Normalized interface (video.emoji)

Detect Request

model (string, optional): default emoji-detect-v1
image_url (string, required)

Generate Request

model (string, optional): default emoji-v1
image_url (string, required)
face_bbox (array, required)
ext_bbox_face (array, required)
template_id (string, required)

Response

task_id (string)
task_status (string)
video_url (string, when finished)

Quick start

python skills/ai/video/aliyun-emoji/scripts/prepare_emoji_request.py \
  --image-url "https://example.com/portrait.png" \
  --face-bbox 302,286,610,593 \
  --ext-bbox-face 71,9,840,778 \
  --template-id emoji_001

Operational guidance

Use a single-person, front-facing portrait with no face occlusion.
Template IDs come from the official template list or console experience; do not invent them in production calls.
Emoji output is a person video clip, not a sticker pack or text overlay asset.

Output location

Default output: output/aliyun-emoji/request.json
Override base dir with OUTPUT_DIR.

References

references/sources.md

---name: aliyun-emojidescription: Use when generating template-driven emoji videos with Alibaba Cloud Model Studio Emoji (`emoji-v1`) from a detected portrait image. Use when producing fixed-style meme or emoji motion clips from a single face image and a selected template ID.--- Category: provider # Model Studio Emoji ## Validation ```bash mkdir -p output/aliyun-emoji python -m py_compile skills/ai/video/aliyun-emoji/scripts/prepare_emoji_request.py && echo "py_compile_ok" > output/aliyun-emoji/validate.txt ``` Pass criteria: command exits 0 and `output/aliyun-emoji/validate.txt` is generated. ## Output And Evidence - Save normalized request payloads, detected face boxes, selected template ID, and task polling snapshots under `output/aliyun-emoji/`. - Record the exact portrait URL and whether detection passed. Use Emoji when the user wants a fixed-template facial animation clip rather than open-ended video generation. ## Critical model names Use these exact model strings: - `emoji-detect-v1` - `emoji-v1` Selection guidance: - Run `emoji-detect-v1` first to obtain `face_bbox` and `ext_bbox_face`. - Use `emoji-v1` only after detection succeeds. ## Prerequisites - China mainland (Beijing) only. - Set `DASHSCOPE_API_KEY` in your environment, or add `dashscope_api_key` to `~/.alibabacloud/credentials`. - Input image must be a public HTTP/HTTPS URL. ## Normalized interface (video.emoji) ### Detect Request - `model` (string, optional): default `emoji-detect-v1` - `image_url` (string, required) ### Generate Request - `model` (string, optional): default `emoji-v1` - `image_url` (string, required) - `face_bbox` (array<int>, required) - `ext_bbox_face` (array<int>, required) - `template_id` (string, required) ### Response - `task_id` (string) - `task_status` (string) - `video_url` (string, when finished) ## Quick start ```bash python skills/ai/video/aliyun-emoji/scripts/prepare_emoji_request.py \ --image-url "https://example.com/portrait.png" \ --face-bbox 302,286,610,593 \ --ext-bbox-face 71,9,840,778 \ --template-id emoji_001 ``` ## Operational guidance - Use a single-person, front-facing portrait with no face occlusion. - Template IDs come from the official template list or console experience; do not invent them in production calls. - Emoji output is a person video clip, not a sticker pack or text overlay asset. ## Output location - Default output: `output/aliyun-emoji/request.json` - Override base dir with `OUTPUT_DIR`. ## References - `references/sources.md`

Frequently asked questions