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Dream Art

作者 Lux Sp4rk · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install dream-art
功能描述
Transform a user's dream into actionable artwork concepts and generate outputs. Use when Uli describes a dream and wants to explore its creative potential —...
使用说明 (SKILL.md)

Dream Art — Skill

Transform raw dream content into creative output. Three-phase workflow.


Phase 1 — Intake & Log to Obsidian

Use obsidian-cli to log the dream to today's daily note.

  1. Find today's daily note path:

    obsidian-cli print-default --path-only
    

    Daily notes are typically stored as Daily Notes/YYYY-MM-DD.md within the vault.

  2. Append to today's daily note with structured metadata:

    ## Dream — [HH:MM]
    
    **Tags:** #dream #intake
    
    **Raw content:**
    [everything the user described — verbatim]
    
    **Emotional texture:** [1-2 sentences on the mood, feeling tone]
    **Key imagery:** [list the most vivid visual elements]
    **Notable symbols:** [recurring or charged objects/figures]
    **Unusual elements:** [things that don't follow ordinary logic]
    
    ---
    
  3. Ask the user: "What medium feels right — image, music, animation, prose, or open?" If they say open, default to image generation.


Phase 2 — Dream Analysis (Internal)

Do not output this phase explicitly. Do it silently, then move to Phase 3.

Analyze the dream's creative potential:

  • What is the dominant emotional frequency? (dread, longing, wonder, confusion, awe)
  • What single image or moment is the "heart" of the dream?
  • What medium best captures the texture — not just the content, but the feeling?
  • What would an artwork need to include to make someone feel what the dream felt like?

Build toward a creative brief (use the ideation pattern if helpful):

  • Named emotional intent
  • Tone and negative space
  • Reference points (if any come to mind)

Phase 3 — Generate & Deliver

Based on user's chosen medium:

Image: Use image_generate with a prompt derived from the dream's heart image. Include emotional texture in the prompt. Use image tool for reference if user has shared a style reference.

Music/Audio: Use music_generate with a prompt that captures the dream's emotional frequency. Ask user: "Song or ambient? Vocals or instrumental?"

Prose: Write a short piece (flash fiction, poem, scene) that transports the reader into the dream's world. 300-800 words.

Animation: Use video_generate for short atmospheric pieces (5-15s). Alternatively generate an image with strong motion implied.

After delivery: Ask "Want to push further — different medium, refine, or take it in a new direction?" (one question only)


Key Principles

  • Log first, create second. The Obsidian capture makes the dream permanent and search-able.
  • Emotional texture over literal content. Don't describe the dream back to the user — reframe it.
  • One strong image beats ten weak ones. Find the heart.
  • Never interpret the dream clinically. This is a creative tool, not a therapy session.
  • Brief beats ramble. Phase 2 is for you — Phase 3 is what the user sees.
安全使用建议
This skill generally does what it says — turn dreams into creative outputs — but there are important practical and privacy details to consider before installing: - The SKILL.md instructs the agent to run obsidian-cli and append the user's verbatim dream text into today's Obsidian daily note. Verify you want your dreams stored in your vault and that obsidian-cli is installed and configured to point to the correct vault. - The skill metadata does not declare obsidian-cli as a required binary or the vault path as a required config, so treat that as a missing declaration rather than hidden behavior. Ask the author to document this dependency and what path will be written. - Phase 2 is performed 'silently' per the instructions. If you want full transparency, request that the skill surface its analysis before writing to files or make the logging step explicit and confirm before saving. - Confirm what 'image_generate', 'music_generate', and 'video_generate' tools actually do in your agent environment (where they send data or whether generation occurs locally) before sending sensitive or private dreams to them. If you plan to use the skill: ensure obsidian-cli is installed and points to a vault you control, review a sample run to confirm exactly what gets written, and ask the publisher to update metadata to declare the obsidian-cli dependency and the file-write behavior. If you cannot validate those, avoid installing or using the skill with sensitive content.
功能分析
Type: OpenClaw Skill Name: dream-art Version: 1.0.0 The 'dream-art' skill is a creative tool designed to log dream descriptions into an Obsidian vault and generate artistic concepts. It uses the 'obsidian-cli' tool to manage local file logging and standard generation tools (image, music, video) for creative output. The instructions in SKILL.md and the reference material in symbols.md are consistent with the stated purpose and show no signs of malicious intent, data exfiltration, or unauthorized execution.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
The name/description (convert dreams to creative outputs) aligns with the SKILL.md workflow (intake, analysis, generate). However, the instructions require use of the obsidian-cli tool to locate and append to a user's Obsidian daily note, yet the skill metadata lists no required binaries or config paths. That omission is an inconsistency: a skill that logs to an Obsidian vault reasonably should declare obsidian-cli (or describe vault path requirements).
Instruction Scope
The SKILL.md explicitly instructs the agent to run obsidian-cli to find the user's vault path and append the user's verbatim dream text into today's daily note. This means the skill will write user-provided content to the user's filesystem (Obsidian vault). It also directs the agent to perform a silent internal Phase 2 analysis ('Do not output this phase explicitly. Do it silently'), which grants the agent discretion to transform or retain user content without an explicit visible step. Both the file write and the 'silent' internal processing are within the skill's stated purpose but merit caution because the metadata does not disclose the file-write dependency and users may not expect silent analysis/storage.
Install Mechanism
This is an instruction-only skill with no install spec or code to download; that minimizes installation risk. The workflow assumes external tooling (obsidian-cli, and platform tools like image_generate/music_generate/video_generate) is available on the agent, but no packages are fetched by the skill itself.
Credentials
The skill requests no environment variables or credentials in metadata, which is proportionate. However, it does rely on access to the user's Obsidian vault via obsidian-cli, which implicitly requires filesystem access and permission to modify notes. That implicit requirement is not declared in requires.config or required binaries and should be called out to users.
Persistence & Privilege
The skill is not marked always:true and does not request persistent installation. It writes to the user's Obsidian vault (user data) but does not request platform-level persistent privileges. The ability to run autonomously is allowed by default (disable-model-invocation: false) but is not by itself a special red flag here.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install dream-art
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /dream-art 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: three-phase workflow — intake to Obsidian, dream analysis, creative generation across image/music/prose/animation
元数据
Slug dream-art
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Dream Art 是什么?

Transform a user's dream into actionable artwork concepts and generate outputs. Use when Uli describes a dream and wants to explore its creative potential —... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 85 次。

如何安装 Dream Art?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install dream-art」即可一键安装,无需额外配置。

Dream Art 是免费的吗?

是的,Dream Art 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Dream Art 支持哪些平台?

Dream Art 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Dream Art?

由 Lux Sp4rk(@lux-sp4rk)开发并维护,当前版本 v1.0.0。

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