Generate and edit images via OpenAI gpt-image-2 or Google Gemini. /image-gpt, /image-gemini, and an image-gen skill.
1 on GitHubby Cleveland R&Dv0.1.0MITupdated 5 months ago
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Plugin image-gen from marketplace claude-image-gen in Cleveland-RD/claude-image-gen. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (1)
image-gen
Generate and edit raster images via OpenAI gpt-image-2 or Google Gemini gemini-3-pro-image-preview (Nano Banana). Use when the user asks to "generate an image", "make a picture", "create an illustration", "draw", "render", "design a hero image / banner / poster / mockup / business card", or attaches
Slash commands (2)
/image-gen:image-gemini
Generate an image with Google Gemini (Nano Banana) — skip the model-choice prompt.
/image-gen:image-gpt
Generate an image with OpenAI gpt-image-2 (skip the model-choice prompt).
53 marketing skills for technical marketers and founders: CRO, copywriting, cold email, prospecting, SEO, AI SEO, paid ads, SMS, ad creative, video production, image generation, co-marketing, churn prevention, pricing, referrals, revenue operations, sales enablement, customer research, site architecture, comprehensive AARRR-structured marketing plans, public relations and earned media, offer design, event marketing and webinars, and more
Harness Adobe's creative AI-powered tools to edit images, automate design workflows, and bring creative visions to life — from background removal to vectorization and professional retouching.
Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).
Brings together Adobe Creative Cloud tools for images, vectors, design, and video. Edit multiple assets at once, adapt for different platforms, and complete multi-step creative workflows for polished results.
Knowledge base compiled from OpenAI's Spinning Up in Deep RL (MIT, Joshua Achiam) by engineering/book-to-skill. A resident core carries the RL optimization problem, the model-free taxonomy, the policy-gradient template with its five valid weights, the safe-step family (VPG to TRPO to PPO) and the overestimation family (DDPG to TD3 and SAC); 20 on-demand chapters cover key concepts and MDPs, the algorithm taxonomy and model bias, the policy gradient derivation with the log-derivative trick and EGLP lemma, Achiam's researcher essay, the key-papers topic map, the exercises including the silent DDPG broadcasting bug, the benchmark parity disclosure, one chapter per algorithm, and the logger/MPI/ExperimentGrid utilities. Ships a glossary, a patterns file with 16 techniques, a decision cheatsheet with thresholds, a cs-spinning-up-deep-rl agent and /cs-spinning-up-deep-rl. Structured study notes, not a reproduction of the source.
1 skill · 1 command · 1 agent
alirezarezvani/claude-skills 29,725
Maintain image-gen?
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