digital-garden-cultivator
npx machina-cli add skill athola/claude-night-market/digital-garden-cultivator --openclawTable of Contents
- What It Is
- Quick Start
- Calculate Garden Metrics
- Output Formats
- When to Use
- Content Maturity Levels
- Core Workflow
- Garden Layout Template
- Maintenance Cadence
- Success Metrics
- Detailed Resources
- Integration
Digital Garden Cultivator
Design, manage, and evolve digital gardens as living knowledge bases. Digital gardens are interconnected note collections that grow organically, emphasizing evolution over perfection.
What It Is
A digital garden approach to knowledge management that:
- Builds dynamic knowledge bases that evolve over time
- Connects notes through bidirectional links
- Incubates ideas before formalizing as documentation
- Creates discovery paths for information navigation
- Tracks content maturity and maintenance needs
Quick Start
Calculate Garden Metrics
python scripts/garden_metrics.py path/to/garden.json --format brief
Verification: Run python --version to verify Python environment.
Output Formats
json- Full metrics as JSONbrief- One-line summaryprometheus- Prometheus exposition format
When To Use
- Building dynamic knowledge bases that evolve over time
- Connecting notes, skills, and palaces through bidirectional links
- Incubating ideas before formalizing as documentation
- Creating discovery paths for navigating information
- Managing content lifecycle (seedling → growing → evergreen)
When NOT To Use
- Creating memory palace structures - use memory-palace-architect
- Evaluating new knowledge
- use knowledge-intake
- Creating memory palace structures - use memory-palace-architect
- Evaluating new knowledge
- use knowledge-intake
Content Maturity Levels
| Level | Status | Description |
|---|---|---|
| Seedling | New/rough | Early ideas, incomplete thoughts |
| Growing | Developing | Being actively refined |
| Evergreen | Mature | Stable, well-developed content |
Core Workflow
- Collect Sources - Gather notes, bookmarks, ideas
- Plan Structure - Define garden organization
- Create Links - Build bidirectional connections
- Schedule Maintenance - Establish tending cadence
- Document Outputs - Convert mature ideas to formal docs
Garden Layout Template
garden:
sections: ["research", "patterns", "experiments"]
plots:
- name: "My First Note"
purpose: "reference" # reference | evergreen | lab
maturity: "seedling" # seedling | growing | evergreen
inbound_links: []
outbound_links: []
last_tended: "2025-11-24T10:00:00Z"
Verification: Run the command with --help flag to verify availability.
Maintenance Cadence
| Action | Frequency | Purpose |
|---|---|---|
| Quick prune | Every 2 days | Remove dead links, fix typos |
| Stale review | After 7 days inactive | Assess content freshness |
| Archive | After 30 days inactive | Move to archive or delete |
Success Metrics
- Link density - Average links per piece of content
- Bidirectional coverage - % of links that are reciprocal
- Freshness - Time since last update per area
- Maturity ratio - Evergreen content / total content
Detailed Resources
- Linking Patterns: See
modules/linking-patterns.md - Maintenance Guide: See
modules/maintenance.md - Metrics Integration: See
modules/maintenance.md
Integration
memory-palace-architect- Host garden within palace structureknowledge-locator- Search garden contentsession-palace-builder- Seed garden from session insights
Troubleshooting
Common Issues
Pre-commit hooks failing
Run SKIP=... git commit to bypass temporarily, then fix issues
Merge conflicts
Use git merge --abort to reset, then resolve conflicts carefully
Commit rejected Check hook output and fix reported issues before committing again
Source
git clone https://github.com/athola/claude-night-market/blob/master/plugins/memory-palace/skills/digital-garden-cultivator/SKILL.mdView on GitHub Overview
Digital Garden Cultivator helps design, manage, and evolve interconnected note collections as living knowledge bases. It emphasizes bidirectional linking, ongoing incubation of ideas, and tracking content maturity to maintain a healthy garden.
How This Skill Works
Follow the core workflow: collect sources, plan structure, create bidirectional links, schedule maintenance, and convert mature ideas into formal outputs. It supports running garden metrics with scripts and exporting formats like json, brief, or Prometheus.
When to Use It
- Building dynamic knowledge bases that evolve over time
- Connecting notes and skills via bidirectional links
- Incubating ideas before formalizing as documentation
- Creating discovery paths for information navigation
- Managing content lifecycle from seedling to evergreen
Quick Start
- Step 1: Collect sources, bookmarks, and ideas
- Step 2: Plan garden structure and sections
- Step 3: Create bidirectional links and schedule maintenance
Best Practices
- Collect sources and bookmarks before structuring
- Plan a clear garden structure with sections and plots
- Build bidirectional links to connect notes
- Schedule regular maintenance to prune dead links and refresh content
- Document mature ideas as formal outputs for reuse
Example Use Cases
- A project knowledge base where notes on tasks link to design decisions
- A research garden where hypotheses are incubated before publication
- A topic map with discovery paths guiding new topics
- A content lifecycle that tracks seedling → growing → evergreen status
- A garden metrics workflow using garden_metrics.py to monitor link density