image-gen
Skill4 starsChanged 9 months agoMITView on GitHub
Generate images from text descriptions using DALL-E or GPT-image
- Reads credentials
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 32 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 13
Check: vault_get openai_api_key — key auto-injects as OPENAI_API_KEY
“Common” is measured: kept by at least 6 in 10 of the 32 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Image Generation
The assistant will automatically use the generate_image tool when available.
Setup
API key (DALL-E uses OpenAI; store in vault, never use export):
vault_save openai_api_key "sk-xxx"- Check:
vault_get openai_api_key— key auto-injects asOPENAI_API_KEY
Parameters
- prompt: Detailed description of the image
- size: 1024x1024 (default), 1024x1792 (portrait), 1792x1024 (landscape)
- quality: standard or hd
Tips
- Be descriptive in prompts
- Specify style, mood, lighting for better results
Other versions44 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 44
- ethereum/ethereum-org-website★ 6ksame name
- fastclaw-ai/fastclaw★ 1.4ksame name
- QuixiAI/agi-memory★ 623same name
- QuixiAI/Hexis★ 623same name
- notque/claude-code-toolkit★ 444same name
- notque/vexjoy-agent★ 444same name
- suitedaces/dorabot★ 247same name
- wpsnote/wpsnote-skills★ 184same name
- Sma1lboy/rove★ 181same name
- microsoft/Huabu★ 168same name
34 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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