Synaptic Pruning identifies and prepares the removal of vestigial code, fossilized configurations, and abandoned modules to mature your codebase.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install synaptic-pruning
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install synaptic-pruning using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Synaptic Pruning?
Synaptic Pruning is a sophisticated diagnostic utility for Openclaw Skills that transcends standard linting or dead-code elimination. Inspired by the neurological process of removing unused synapses to strengthen the brain, this skill identifies vestigial organs within a codebase—elements that are technically valid but serve no current purpose. It targets architectural fossils that have survived multiple rewrites, ensuring that your project matures rather than just grows.
By integrating this tool into your Openclaw Skills workflow, you can distinguish between code that is simply dormant and code that is truly dead weight. It helps maintainers identify hidden complexities like feature flags that are always active or tests that no longer validate meaningful logic, ultimately reducing the cognitive load on the development team.
Synaptic Pruning Use Cases
- Post-migration cleanup to identify and remove legacy compatibility shims after architectural shifts.
- Preparing for new team member onboarding by purging documentation ghosts and outdated instructions.
- Conducting quarterly codebase health audits to quantify and reduce the vestigial burden.
- Identifying abandoned experimental modules or partial refactors that were never completed.
How Synaptic Pruning Works
- Census Phase: The skill catalogs every function, configuration, and documentation section to build a comprehensive reachability graph from entry points.
- Vitality Check: Each unit is analyzed to determine if it is alive, dormant, or dead based on execution paths and historical configuration states.
- Pruning Plan: Vestigial code is categorized into seven distinct classes and assigned a removal safety score based on potential impact.
- Maturation Report: A final report is generated, detailing the cognitive weight reduction and providing a prioritized plan for code removal.
Synaptic Pruning Setup
Synaptic Pruning for Openclaw Skills is a zero-dependency tool that operates locally on your project. To initialize the pruning analysis, execute the following commands in your terminal:
# Analyze the codebase and identify vestigial classes
openclaw run synaptic-pruning --analyze
# Generate the maturation report and pruning recommendations
openclaw run synaptic-pruning --report --output=markdown
Synaptic Pruning Data Schema & Taxonomy
The skill organizes its findings based on a vitality scoring system and classification taxonomy:
| Attribute | Type | Description |
|---|---|---|
| Vitality Score | Integer (0-100) | Confidence level that the code serves a living purpose. |
| Vestigial Class | String (1-7) | Categorization (e.g., Zombie Features, Fossil Configs, Orphaned Tests). |
| Cognitive Weight | Percentage | Estimated percentage of codebase complexity contributed by dead code. |
| Safety Score | String | Risk assessment for immediate removal (e.g., 0 risk, low risk, human review). |
Synaptic Pruning Advanced Features
- Seven-Class Vestigial Detection: Specialized logic to find zombie features, fossil configs, orphaned tests, and more.
- Reachability Graphing: Deep analysis of UI elements and API endpoints to map actual user-reachable paths.
- Configuration Fossil Hunting: Historical evaluation of feature flags to identify gates that never change state.
- Maturation Metrics: Provides estimated reductions in onboarding time and codebase age distribution reports.
SKILL.md
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