clawmate-companion

Generate contextual character selfies via a two-step clawmate workflow.

Updated Mar 20, 2026

Search Tags:#consistency #image-generation #prompt-generation #ai-art #two-step #selfies #reference-package

Ready to run

npx skills add https://github.com/MGHus4473/clawmate-aliyun-clone-tts --skill clawmate-companion-mghus4473

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: clawmate-companion
Source: https://github.com/MGHus4473/clawmate-aliyun-clone-tts/tree/main/packages/clawmate-companion/skills/clawmate-companion
Command: npx skills add https://github.com/MGHus4473/clawmate-aliyun-clone-tts --skill clawmate-companion-mghus4473

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of producing consistent, context-aware character selfies by enforcing a two-step workflow that first fetches a reference package via clawmate_prepare_selfie, then generates a tailored prompt and calls clawmate_generate_selfie.

Core Features & Use Cases

Two-step selfie workflow with reference-based prompt generation for reliable outputs.
Supports time-aware prompts and mode guidance to tailor composition, lighting, and camera angle.
Handles a single main scene per activation and enforces language and safety constraints.

Quick Start

Start by calling clawmate_prepare_selfie with a mode and optional details, then generate the prompt and call clawmate_generate_selfie to obtain the final image.

Frequently Asked Questions about clawmate-companion

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate consistent AI character selfies across different scenes?▼

Consistent AI character selfies require a reference-based two-step workflow: first fetch a character reference package, then generate a tailored image prompt that applies the reference to maintain visual consistency across different contextual scenes.

What is a two-step prompt workflow for AI image generation?▼

A two-step prompt workflow splits image generation into two phases: first retrieving a reference package and mode constraints, then generating a tailored prompt and calling the image generator, ensuring structural consistency and built-in safety guardrails.

How do I add time-aware lighting and camera angles to AI art prompts?▼

Add time-aware lighting and camera angles to AI art prompts by using a generation workflow that supports mode guidance and time-context constraints, allowing you to tailor composition, lighting, and camera angle based on the specific scene requirements.

Can I generate multiple scene selfies in a single AI art prompt request?▼

No, this contextual selfie workflow handles a single main scene per activation. Enforcing a strict multi-step flow with one scene constraint ensures the reference-based generation maintains high consistency and adheres to built-in safety guardrails.

Does AI character selfie generation support non-English prompts?▼

No, this AI character selfie workflow enforces strict language restrictions, requiring English prompts only. This constraint ensures reliable prompt generation and consistent application of safety guardrails throughout the two-step process.

Why use a reference package for AI art selfie generation instead of a single prompt?▼

Using a reference package for AI art selfie generation anchors the character's visual identity, ensuring consistency across varied contexts. A single text prompt alone risks losing character identity when adapting to different scenes and lighting conditions.