claude

modal-memory-image

Production visual production system for Modal + ComfyUI: generation, restoration, analysis, cache, queue, memory, style learning, dataset curation, memes, and video workflows.

2 on GitHubby AGENT MCP AIv1.0.0Apache-2.0updated 1 month ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin modal-memory-image in bl1nk42/image-gen. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (12)

  • character-story-video

    Plan and produce a multi-part animated character story with stable identity, sequential scenes, reference images, image-to-video clips, audio planning, and continuity checks. Use for character stories, sequels, animated narratives, or multi-scene image/video sequences.

  • dataset-curation

    Curate generated images into a clean training dataset, validate metadata, remove duplicates, and sync manifests/assets to Hugging Face.

  • image-generation

    Production image generation through Modal + ComfyUI or configured providers. Use when creating, editing, analyzing, caching, queueing, or registering images, including text-bearing visuals, references, style consistency, and multi-image batches.

  • meme-generator

    Create captioned memes from classic templates or a supplied background, with correct text encoding, line limits, preview, and export. Use for memes and social reaction images; do not use for original AI artwork.

  • memory-recall

    Retrieve relevant project decisions, prior prompts, style preferences, debugging notes, and past outputs with source traceability. Use when the user asks what was decided, why a design exists, or wants to reuse a known style/workflow.

  • modal-operations

    Deploy, inspect, warm, cache, and troubleshoot the Modal + ComfyUI image backend and Hugging Face storage.

  • nothing-design

    Apply the Nothing-inspired monochrome industrial design system to interfaces, dashboards, image prompts, and generated visual references. Use only when the user explicitly requests Nothing style/design or invokes this skill.

  • photo-restoration

    Restore blurry, damaged, faded, or vintage photos while preserving identity, pose, composition, clothing, and historical character. Use for restoration, deblur, denoise, color correction, facial recovery, and high-resolution enhancement.

  • prompt-engineer

    Design, refactor, evaluate, and version prompts for image generation, image analysis, style learning, and structured agent tools. Use when outputs are inconsistent, prompts need optimization, or a new provider/model is introduced.

  • style-learning

    Learn and improve reusable image styles from liked references, votes, prompts, embeddings, and recent generation outcomes.

  • video-generator

    Plan and execute professional AI video projects including commercials, explainers, short films, social clips, and image-to-video sequences. Use when the user requests video, animation, clips, B-roll, narration, music, or final assembly.

  • visual-production-router

    Route visual requests to image generation, restoration, Nothing design, memes, character stories, video production, prompt engineering, memory, or the exact Modal tools. Use when a request spans multiple visual modalities or the right workflow is unclear.

Slash commands (3)

  • /modal-memory-image:image-status

    Show image cache statistics, backend health, and recent queue state

  • /modal-memory-image:prepare-prompt

    Preview normalized prompt, style suffix, and negative prompt before generation

  • /modal-memory-image:sync-dataset

    Validate the local image dataset manifest and sync it to Hugging Face after confirmation

Subagents (1)

  • style-curator

    Reviews liked image references, votes, prompts, and analysis results to propose a reusable style update without changing user subject details.

Hooks (1)

  • PostToolUse

    python3 ${CLAUDE_PLUGIN_ROOT}/scripts/audit_event.py

View source on GitHub

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