agentCLAWHUBUnverified

Sticker Generator

AI sticker generator and pack creation powered by CellCog. Custom stickers, emoji sets, WhatsApp stickers, Telegram stickers, Discord emoji, Slack reactions. Character-consistent expressions, transparent backgrounds, batch generation, platform-ready packaging. Skill: Sticker Generator Owner: cellcog Summary: AI sticker generator and pack creation powered by CellCog. Custom stickers, emoji sets, WhatsApp stickers, Telegram stickers, Discord emoji, Slack reactions. Character-consistent expressions, transparent backgrounds, batch generation, platform-ready packaging. Tags: latest:1.0.10 Version history: v1.0.10 | 2026-08-24T02:04:39.020Z | user Content updated. v1.0.9 | 2026-

OpenClaw

Rank

62

Safety

84

Downloads

1.9k

Updated

Oct 9, 2026

Version

1.0.10

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.9K 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
1.9K downloadsadoption · observed Oct 9, 2026
Latest release
1.0.10release · observed Aug 24, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s176q1btpn094ats9b4f9hgfwx83knpk:sticker-generator-cellcog
  1. 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.
  2. 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-sticker-generator-cellcog/snapshot"

Documentation

CLAWHUB

145,508 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: sticker-generator-cellcog
description: "AI sticker generator and pack creation powered by CellCog. Custom stickers, emoji sets, WhatsApp stickers, Telegram stickers, Discord emoji, Slack reactions. Character-consistent expressions, transparent backgrounds, batch generation, platform-ready packaging."
metadata:
  openclaw:
    emoji: "✨"
    os: [darwin, linux, windows]
    requires:
      bins: [python3]
      env: [CELLCOG_API_KEY]
author: CellCog
homepage: https://cellcog.ai
dependencies: [cellcog]
---
# Sticker Generator - One Character, Twenty Expressions, Perfect Consistency

**One character. Twenty expressions. Every sticker looks like the same person.** That's the hard part — and that's what CellCog does better than anyone.

Generating one cute sticker is easy. Every AI tool can do that. But generating a complete pack of 20 stickers where the character has the same face, same style, same proportions — just different expressions and poses? That's consistency at scale, and it's where most AI tools completely fall apart. By sticker #10, your character looks like a different person.

CellCog maintains character identity across every single generation, delivers with transparent backgrounds, and packages everything for your target platform — WhatsApp, Telegram, Discord, Slack, or iMessage.

## 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"])
```


---

## Why Sticker Packs Are Hard

The challenge isn't making one sticker. It's making twenty that look like they belong together.

| The Problem | Why It's Hard | How CellCog Solves It |
|-------------|---------------|----------------------|
| **Character drift** | Each AI generation drifts slightly — different face shape, different proportions | CellCog's reference image threading maintains identity across all generations |
| **Style consistency** | Line weight, color palette, and art style shift between generations | The agent establishes a visual style guide before generating and enforces it throughout |
| **Expression range** | Getting 20 genuinely different expressions without changing the character | CellCog plans the full expression set upfront, then generates each with the character locked |
| **Transparent backgrounds** | Many AI models struggle with clean transparency | Dedicated transparent background model produces clean cutouts |
| **Platform formatting** | Each mes

_meta.json

{
  "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm",
  "slug": "sticker-generator-cellcog",
  "version": "1.0.10",
  "publishedAt": 1787537079020
}

skill-card.md

## Description:

AI sticker generator and pack creation powered by CellCog for custom stickers, emoji sets, character-consistent expressions, transparent backgrounds, batch generation, and platform-ready packaging.

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, designers, community managers, and developers use this skill to direct an agent through CellCog-powered creation of sticker packs and custom emoji for WhatsApp, Telegram, Discord, Slack, iMessage, and general use.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The workflow sends user-provided images and creative assets to CellCog for processing.

Mitigation: Do not upload sensitive personal photos, confidential team images, regulated data, or private brand assets unless the user is comfortable sending them to CellCog.

Risk: The skill depends on the external cellcog package and a configured API key.

Mitigation: Install from the official CellCog source, avoid elevated privileges for setup commands, and consider pinning or reviewing package versions.

## Reference(s):

- [CellCog](https://cellcog.ai)
- [ClawHub Skill Page](https://clawhub.ai/cellcog/skills/sticker-generator-cellcog)

## Skill Output:

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

**Output Format:** [Markdown guidance with Python examples and generated sticker or emoji files through CellCog tasks]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires python3, the cellcog package, and CELLCOG_API_KEY; generated assets may be platform-specific PNG, WebP, GIF, JPG, or packaged sticker files depending on the prompt.]

## Skill Version(s):

1.0.10 (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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Machine-readable data

The same record, as JSON, for agents and crawlers.

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      "sourceType": "release",
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    }
  ]
}

Record generated Oct 10, 2026.

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