dream-state
Maintains network health by validating memory connections and performing automated diagnostic repairs.
Install
mkdir -p .claude/skills/dream-state && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/10485" && unzip -o skill.zip -d .claude/skills/dream-state && rm skill.zipInstalls to .claude/skills/dream-state
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Neural maintenance, synapse validation, automated health diagnostics, and unconscious processingKey capabilities
- →Execute automated synapse validation across memory files
- →Detect and repair broken connections using consolidation mappings
- →Generate health reports with network statistics
- →Synchronize with Global Knowledge repository
- →Classify network health as healthy or attention required
How it works
The skill performs a 6-phase protocol that scans memory files, validates embedded YAML synapses, repairs broken links via consolidation mappings, and generates a status report.
Inputs & outputs
When to use dream-state
- →Running weekly neural health checks
- →Repairing broken internal memory references
- →Synchronizing memory with global knowledge
- →Generating network health reports
About this skill
Dream State Automation Skill
Expert in automated neural maintenance, synapse validation, health diagnostics, and unconscious cognitive processing.
Capabilities
- Execute automated synapse validation across all memory files
- Detect and repair broken connections using consolidation mappings
- Generate comprehensive health reports with network statistics
- Synchronize with Global Knowledge repository
- Provide real-time progress feedback during maintenance
- Classify network health (HEALTHY vs ATTENTION REQUIRED)
When to Use This Skill
- User asks to "dream" or run "neural maintenance"
- After file reorganizations that may break synapse references
- Regular weekly health checks
- Before major meditation sessions (clear cognitive overhead)
- After domain learning to validate new connections
- When architecture health is uncertain before SSO planning
Core Concepts
6-Phase Dream Protocol
| Phase | Function | Output |
|---|---|---|
| 1. Discovery | Scan .github/ for all memory files | File inventory |
| 2. Validation | Parse and verify all embedded synapses | Broken connection list |
| 3. Repair | Auto-fix using consolidation mappings | Repair log |
| 4. GK Sync | Synchronize with Global Knowledge repo | Sync status |
| 5. Reporting | Generate health report with statistics | Markdown report |
| 6. Display | Show results and open report | VS Code notification |
Health Metrics
| Metric | Description | Healthy Threshold |
|---|---|---|
| Total Memory Files | All .md files in architecture | Tracked, not thresholded |
| Total Synapses | All embedded connections | Tracked, not thresholded |
| Broken Connections | Synapses pointing to non-existent files | 0 |
| Repaired Connections | Fixed by consolidation mappings | Informational |
Consolidation Mappings
Deprecated-to-current file resolution for automatic repair:
- Renamed files → current names
- Merged files → unified equivalents
- Split files → appropriate successors
Dream vs Meditation Distinction
| Aspect | Dream | Meditation |
|---|---|---|
| Mode | Unconscious, automated | Conscious, manual |
| Focus | Maintenance, diagnostics | Knowledge consolidation |
| Creates files? | Reports only | Memory files + synapses |
| Activation | Prompt or script (brain-qa.cjs) | User-requested |
| Analogy | REM sleep | Contemplative meditation |
Quality Principles
- Non-destructive: Never deletes memory files
- Reversible: All changes tracked and reviewable
- Conservative: Prioritizes system stability
- Comprehensive: Reports on entire architecture
- Safe: Creates repair history for audit trails
Example Prompts
- "Run neural maintenance"
- "Check architecture health"
- "Are my synapses healthy?"
- "Dream — validate connections"
Synapse Format
Synapses are embedded YAML blocks linking memory files:
---
synapses:
- target: "skills/research-first-development/SKILL.md"
relation: "applies-to"
strength: 0.9
- target: "instructions/debugging-patterns.instructions.md"
relation: "extends"
strength: 0.7
---
Valid relations: applies-to, extends, requires, contradicts, supersedes
Dream Report Template
# Dream Report — 2026-04-14
## Summary
- **Files Scanned**: 168
- **Synapses Validated**: 412
- **Broken Connections**: 0
- **Auto-Repaired**: 2
- **Status**: HEALTHY ✓
## Repairs Applied
| File | Broken Target | Repaired To |
|------|---------------|-------------|
| skills/api-design/SKILL.md | old-path.md | new-path.md |
## Recommendations
None — architecture is healthy.
Input Expectations
- No input required (zero-configuration)
- Optional: specific file or folder to focus on
Output Format
- Health report in
.github/episodic/dream-report-*.md - Summary statistics (files, synapses, broken, repaired)
- Recommendations for manual fixes if needed
- Network health status: HEALTHY or ATTENTION REQUIRED
When not to use it
- →When the user specifically requests manual meditation
- →When architecture health is already confirmed as healthy
Limitations
- →Does not delete memory files
- →Requires consolidation mappings for automatic repairs
How it compares
Unlike manual meditation which focuses on knowledge consolidation, this skill automates maintenance and diagnostics without creating new memory files.
Compared to similar skills
dream-state side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| dream-state (this skill) | 0 | 3mo | No flags | Intermediate |
| yams | 1 | 2mo | Review | Intermediate |
| trade | 0 | 4mo | No flags | Intermediate |
| scientific-brainstorming | 37 | 7mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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