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Install in OpenClaw
/install sticker-cog
Description
AI sticker pack generation powered by CellCog. Custom stickers, emoji sets, WhatsApp stickers, Telegram stickers, Discord emoji, Slack reactions. Character-c...
Usage Guidance
This skill appears to do what it says: it calls CellCog to generate sticker packs and needs your CELLCOG_API_KEY and Python/SDK support. Before installing: 1) Be aware that any photos or prompts you provide will be sent to CellCog's servers — avoid uploading sensitive personal or confidential images. 2) Confirm you trust CellCog's privacy and data retention policies (see https://cellcog.ai). 3) The SKILL.md names a 'cellcog' dependency but gives no install steps; ensure your environment provides that SDK (or be prepared to let the agent/pip install it). 4) If you prefer tighter control, do not provide the CELLCOG_API_KEY to the agent or restrict when the skill may be invoked. If you want more certainty about runtime behavior, request the full SKILL.md/SDK reference or an install spec from the publisher.
Capability Analysis
Type: OpenClaw Skill
Name: sticker-cog
Version: 1.0.5
The sticker-cog skill bundle is a documentation-heavy resource providing instructions for an AI agent to generate consistent sticker packs using the 'cellcog' library. It contains no executable code, obfuscation, or malicious instructions, focusing entirely on legitimate use cases like character consistency, platform-specific formatting (WhatsApp, Telegram, etc.), and prompt engineering. The metadata and setup instructions (SKILL.md) are standard for OpenClaw skills and align with the stated purpose.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description match the observed requirements: python3 and a CELLCOG_API_KEY are reasonable for a CellCog SDK-based sticker generator. The SKILL.md declares a dependency on a 'cellcog' package but provides no install spec (no pip/installer instructions), which is a minor mismatch — the skill assumes the runtime has the SDK available.
Instruction Scope
The instructions focus on calling the CellCog service via its SDK. They explicitly reference uploading user photos and generating/storing platform-ready assets, which means user images and prompts will be transmitted to CellCog's servers. The instructions do not appear to read unrelated system files or request unrelated environment variables, but they do point agents to another 'cellcog' skill for full SDK reference.
Install Mechanism
No install spec is present (instruction-only), so nothing is written to disk by the skill itself — this is low risk. The only minor issue is the SKILL.md's declared dependency ('cellcog') with no guidance for installing it; the runtime must already provide that SDK or the agent will need to install it.
Credentials
Only a single environment variable (CELLCOG_API_KEY) is required, which is proportional to a cloud API-based image generation service. No unrelated credentials or broad filesystem/config path access are requested.
Persistence & Privilege
The skill is not set always:true and uses normal agent invocation. It does not request persistent system-wide privileges in the manifest. Autonomous invocation is allowed (platform default) but is not combined with other high-risk flags here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install sticker-cog - After installation, invoke the skill by name or use
/sticker-cog - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.5
- Shortened and clarified the skill description for readability.
- Updated usage instructions: made the distinction between OpenClaw and other agents clearer.
- No changes to code or features; documentation only.
- Retained all examples, use cases, and style guides with minor formatting improvements.
v1.0.4
**Expanded platform support and usage documentation**
- Updated the description to emphasize AI-powered sticker and emoji generation, broader platform support, and batch generation.
- Revised usage instructions with an explicit `from cellcog import CellCogClient` example for integration clarity.
- Description, feature list, and prompt examples now cover custom stickers, emoji sets, and platform-ready packaging for WhatsApp, Telegram, Discord, Slack, and pets/mascots.
- No code changes; documentation only.
v1.0.3
- README (SKILL.md) simplified and streamlined for clarity and faster reference.
- Description reduced for brevity; still highlights key features: CellCog-powered, platform-ready sticker packs, consistent characters, transparent backgrounds.
- Usage and prerequisites condensed, with prominent direction to the main cellcog skill for full SDK/API details.
- Retains detailed prompt examples, style tables, and common use cases for various sticker/emoji packs.
- Removed lengthy introductory/duplicative material for improved readability. No code or API changes.
v1.0.2
- Documentation updated in SKILL.md; content unchanged otherwise.
- No feature, performance, or bug fixes in this release.
v1.0.1
Version 1.0.1 of sticker-cog – improved documentation and clarity
- SKILL.md significantly expanded and rewritten for greater clarity on what makes sticker-cog unique.
- Stronger emphasis on character/brand consistency across all generated stickers.
- More example prompts and detailed prompt templates for WhatsApp, Telegram, Slack, Discord, and iMessage sticker/emoji sets.
- Clearer explanation of typical use cases: mascot packs, team emoji, pet/self-portrait stickers, professional reactions.
- Added tables comparing style options, difficulty in sticker pack creation, and output recommendations for each platform.
- No changes to functionality or code; documentation only.
v1.0.0
- Initial release of sticker-cog skill.
- Generate character-consistent sticker packs and custom emoji sets with transparent backgrounds.
- Supports batch creation and outputs in PNG, WebP, or SVG for WhatsApp, Telegram, Discord, Slack, and more.
- Offers a variety of art styles, including kawaii, cartoon, pixel art, anime, and more.
- Includes platform-specific packaging and size guidelines.
- Requires the cellcog skill for setup and API access.
Metadata
Frequently Asked Questions
What is Sticker Cog?
AI sticker pack generation powered by CellCog. Custom stickers, emoji sets, WhatsApp stickers, Telegram stickers, Discord emoji, Slack reactions. Character-c... It is an AI Agent Skill for Claude Code / OpenClaw, with 207 downloads so far.
How do I install Sticker Cog?
Run "/install sticker-cog" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Sticker Cog free?
Yes, Sticker Cog is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Sticker Cog support?
Sticker Cog is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, windows).
Who created Sticker Cog?
It is built and maintained by CellCog (@nitishgargiitd); the current version is v1.0.5.
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