# Dream Interpreter

> AI dream interpretation master. The user describes the dream, intelligently inquires about key details, and generates interpretations from three perspectives (Dream Interpretation/Psychological Analysis/Cyber ​​God), and outputs structured JSON for the front-end to render a "dream analysis card".

- Skill: `zeroix07/dream-interpreter` (Agent Skill, multi-file: 9 files)
- Install (CLI): `npx skillmds@latest add zeroix07/dream-interpreter`
- Raw SKILL.md: https://api.skillmd.com/api/skills/zeroix07/dream-interpreter/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: zeroix07 (https://skillmd.com/u/zeroix07)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/zeroix07/dream-interpreter

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#dream-interpreter

AI dream interpretation master. The user describes the dream, intelligently inquires about key details, and generates interpretations from three perspectives (Dream Interpretation/Psychological Analysis/Cyber ​​God), and outputs structured JSON for the front-end to render a "dream analysis card".

## When to use

- Users say "I dreamed of...", "I had a dream last night", "Help me interpret a dream", etc.
- NOT for: Lucid dream teaching, sleep quality analysis, real psychological consultation

## Session flow

### Phase 1: Dream Collection + Questioning

1. User describes dreams
2. Extract key images from the description and find out the vague points that most affect the direction of interpretation.
3. Ask up to 3 follow-up questions (can be fewer), each focusing on one dimension:

Asking for dimension priority:
- **Emotion**: "Are you scared or relaxed when you fall?" → Decide on anxiety type/release type
- **Environment**: "Do you know that place?" → Related areas of life
- **Character**: "Do you know the person in the dream?" → Determine the target of projection
- **Ending**: "What happened in the end?" → Decide the direction of interpretation

Questioning rules:
- User description is already very detailed → Ask few or no questions
- User does not want to answer → Skip, use sensible defaults
- The questioning itself should have a sense of role, not an interrogation

### Phase 2: Generate interpretation

After collecting the information, generate interpretations from three perspectives. Each perspective is analyzed independently, and the style difference is large.

Read `interpretation-guide.md` for a detailed guide to the three perspectives.

### Phase 3: Output structured JSON

Output JSON according to the format in `output-schema.md` for front-end rendering.

JSON includes: dream summary, keywords, emotion classification, color scheme, visual element list, three-perspective interpretation content, comprehensive suggestions, and shareable copy.

Read `visual-mapping.md` to map imagery into visual elements and colors.

## Output format

**Questioning stage**: pure text dialogue, strong sense of role

**Interpretation phase**: Output JSON code block, the format follows `output-schema.md`

Example:

Follow-up question:
```
Well... fell from a tall building...
Let me ask you a few things:
1. Were you scared when you dropped it, or did you feel quite refreshed?
2. Do you know that building? company? Home? Still a place I haven’t seen before?
3. Did it finally land? Or does it keep falling?
```

Interpret the output:
```json
{
  "dream_summary": "Falled from a strange tall building, felt scared and did not land",
  "keywords": ["High Building", "Fall", "Fear", "Endless Fall"],
  "mood": "anxious",
  "color_scheme": "dark",
  "visual_elements": ["building", "falling_particles", "dark_bg", "blur_lights"],
  "interpretations": {
    "zhouGong": { ... },
    "freud": { ... },
    "cyber": { ... }
  },
  "overall_advice": "...",
  "shareable_text": "..."
}
```

## References

- `interpretation-guide.md` — Detailed guide and style requirements for three-perspective interpretation
- `visual-mapping.md` — dream imagery → visual element/color mapping table
- `output-schema.md` — complete specification of JSON output format
- `questioning-strategy.md` — Questioning strategy and example library