project-registration

type	skill
lifecycle	stable
inheritance	inheritable
name	project-registration
description	Register projects in the fleet registry and track cross-project patterns
tier	standard
applyTo	**/*registry*,**/*fleet*,**/*project-health*
currency	2026-04-22T00:00:00.000Z

Project Registration Skill

Register and update project metadata in the AI-Memory project registry for fleet-wide visibility and cross-project pattern discovery.

Purpose

Enable heirs to self-register in the centralized project registry, track successful patterns, document friction points, and promote reusable solutions to the fleet.

Heir Contribution Model

Heirs are active contributors to the shared knowledge base, not passive consumers:

Resource	Heir Can	Example
project-registry.json	Update own entry	Add patterns, friction, health
insights/	Create new files	GI-{topic}-{date}.md
feedback/	Create new files	Report friction to Master
user-profile.json	Read only	Identity is centrally managed

Contribution flow:

1. Heir solves a problem → records in successfulPatterns
2. Pattern reused 3x → promotes to AI-Memory/insights/
3. Master validates → graduates to AI-Memory/patterns/
4. Pattern syncs to all heirs

Registry Location

~/OneDrive - Correa Family/AI-Memory/project-registry.json

The registry syncs across all machines via OneDrive. Never create local copies.

Registry Schema (v2.0)

{
  "path": "C:\\Development\\ProjectName",
  "name": "ProjectName",
  "description": "Brief project description",
  "lastAccessed": "2026-04-16T10:00:00.000Z",
  "status": "active|maintenance|archived",
  "technologies": ["nodejs", "typescript", "alex-brain"],
  "brainVersion": "8.0.0",
  "health": {
    "skillCount": 0,
    "instructionCount": 0,
    "lastMeditation": null,
    "meditationCount": 0
  },
  "successfulPatterns" 
   
   

Autonomous Heir Operation

Heirs operate WITHOUT Master Alex. Each heir maintains its own registry entry using the update-registry.cjs muscle that syncs to the shared AI-Memory.

Heir Self-Registration

# First-time registration
node .github/muscles/update-registry.cjs --register

# Update health metrics (run after brain changes)
node .github/muscles/update-registry.cjs

# Record meditation completion
node .github/muscles/update-registry.cjs --meditated

# Add successful pattern
node .github/muscles/update-registry.cjs --pattern "webview-state"

# Document friction point  
node .github/muscles/update-registry.cjs --friction "msal-token-refresh"

The muscle:

• Finds AI-Memory via OneDrive sync paths
• Creates/updates only THIS project's entry
• Never modifies other projects' data
• Works offline (queues for next sync)

Heir Responsibilities

Trigger	Action	Command
First session in project	Self-register	--register
After meditation	Record completion	--meditated
Solved problem elegantly	Document pattern	--pattern "name"
Recurring issue	Document friction	--friction "issue"
Brain updated	Refresh health	(no args)

Procedures

1. Register Current Project (Master)

When Master Alex scans the fleet:

# Master Alex scanner muscle:
node scripts/scan-projects.cjs

For manual registration:

1. Read existing registry
2. Check if project already exists (match by path)
3. If exists, update metadata; if not, add new entry
4. Preserve existing successfulPatterns and frictionPoints
5. Write updated registry

2. Record Successful Pattern

When you solve a problem elegantly and it could help other projects:

{
  "successfulPatterns": [
    "webview-state-management",
    "atomic-file-writes",
    "tmdl-parsing"
  ]
}

Pattern names should be:

• Lowercase, hyphenated
• Descriptive of the solution domain
• Referenceable across projects

3. Document Friction Point

When encountering recurring issues:

{
  "frictionPoints": [
    "msal-token-refresh-race-condition",
    "webpack-5-esm-compatibility"
  ]
}

Before solving a problem from scratch, check if another project already solved it:

// Query pattern
const registry = JSON.parse(fs.readFileSync(registryPath));
const solutions = registry.projects.filter(p => 
    p.successfulPatterns.includes('your-problem-domain')
);

4. Promote Pattern to Master

When a pattern proves valuable and should become a Master Alex capability:

1. Add to promotedPatterns array
2. Create skill/instruction/muscle trifecta in Master
3. Mark as promoted in registry

5. Update Project Health

After meditation or brain-qa runs:

{
  "health": {
    "skillCount": 176,
    "instructionCount": 136,
    "lastMeditation": "2026-04-16T10:00:00Z",
    "meditationCount": 15
  }
}

Cross-Project Discovery

Find Projects with Similar Tech Stack

const typescriptProjects = registry.projects.filter(p => 
    p.technologies.includes('typescript') && 
    p.status === 'active'
);

Find Solutions to Known Problems

// Find who solved SSE streaming
const sseExperts = registry.projects.filter(p => 
    p.successfulPatterns.some(pat => pat.includes('sse'))
);

Identify Fleet Health

const needsMeditation = registry.projects.filter(p => 
    p.status === 'active' && 
    !p.health.lastMeditation
);

Status Definitions

Status	Criteria	Registry Update Frequency
active	Modified in last 7 days	On every significant change
maintenance	Modified in last 30 days	Weekly or on changes
archived	Not modified in 30+ days	Rarely/never

Contributing Insights from Heirs

When an heir discovers a valuable pattern, contribute it to the shared knowledge base.

1. Create Insight File

<!-- ~/AI-Memory/insights/GI-{topic}-{date}.md -->
---
project: project-name
date: 2026-04-17
category: backend|frontend|architecture|testing|devops
tags: [relevant, searchable, terms]
status: draft|validated
---

# Insight Title

## Context
What problem were you solving?

## Discovery
What pattern/solution did you find?

## Evidence
- Used in: [list files or scenarios]
- Reuse count: 3+

## Recommendation
How should other projects apply this?

2. Update Registry Entry

After contributing an insight, update your registry entry:

// Mark that you contributed this pattern
myEntry.successfulPatterns.push('pattern-name');

3. Insight Promotion

Master Alex reviews AI-Memory/insights/ during meditation:

• Validated: Promoted to AI-Memory/patterns/GK-*.md
• Needs refinement: Feedback added to file
• Project-specific: Stays as insight, not promoted

Integration with Fleet Operations

The project registry powers:

• Brain Ops: Fleet-wide meditation scheduling
• Pattern Discovery: Cross-pollination of solutions
• Health Monitoring: Identify projects needing attention
• Skill Promotion: Pipeline from heir to master

Related

• global-knowledge.instructions.md — Cross-project knowledge queries
• master-wiki/architecture/MEMORY-SYSTEMS.md — Full memory architecture (master-only)
• heir-sync-management.instructions.md — Syncing changes to heirs