skills.rest
hellofrommorgan
hellofrommorganCOMMUNITY
Explore all skills by this author →
GitHub

architect

Analyze knowledge-graph health and derivation friction to produce ranked evolution recommendations.

Updated Aug 23, 2026
Search Tags:#research#derivation#knowledge-graph#architect#health-analysis#friction-patterns
One-click install
npx skills add https://github.com/hellofrommorgan/intent-computer --skill architect-hellofrommorgan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: architect
Source: https://github.com/hellofrommorgan/intent-computer/tree/main/packages/plugin/src/plugin-skills/architect
Command: npx skills add https://github.com/hellofrommorgan/intent-computer --skill architect-hellofrommorgan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides research-backed recommendations to evolve a knowledge system by analyzing health data, friction signals, and derivation history, while ensuring user approval for any changes.

Core Features & Use Cases

  • Health-driven evolution recommendations
  • Friction pattern analysis across operational surfaces
  • Derivation-aligned proposals grounded in research
  • Explicit user approval before any modification
  • Traceable evidence chains linking recommendations to research claims

Quick Start

Prompt me to generate an evolution proposal for my knowledge graph.

Frequently Asked Questions about architect

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get actionable recommendations for evolving my knowledge graph system?▼

To get actionable recommendations for evolving your knowledge graph, analyze health data, friction patterns, and derivation history to produce 3-5 ranked proposals mapped to traceable evidence with file-level implementation steps.

What is derivation-based constraint analysis for system health?▼

Derivation-based constraint analysis identifies config drift and operational health issues by examining derivation history, returning concrete implementation plans with time estimates and risk assessments tied to knowledge-graph claims.

How do I detect friction patterns across my operational surfaces?▼

Detect friction patterns across operational surfaces by analyzing health data and derivation history to identify health issues, generating ranked evolution proposals grounded in traceable research evidence.

Can I review and approve proposed changes before my knowledge system is modified?▼

Yes, you can review and approve proposed changes because the system requires explicit user approval before any modification, ensuring you validate file-level steps, time estimates, and risk assessments mapped to knowledge-graph claims.

What's the best way to trace evidence chains linking system recommendations to research claims?▼

Trace evidence chains by generating evolution proposals that map 3-5 ranked recommendations directly to derivation history and knowledge-graph claims, providing traceable evidence for health-driven system modifications.

Does knowledge system evolution guidance work without external dependencies?▼

Yes, knowledge system evolution guidance works without external dependencies, analyzing internal health data, friction signals, and config drift independently to produce actionable, research-backed recommendations for your system.

Related Skills

Explore More Software Engineering Skills→
agenticnotetakingagenticnotetaking
3.5k

architect

Analyze knowledge system health and propose research-backed configuration changes.

Official
Advanced
mishahaninmishahanin
10

state-check

Assess workspace operational functions to identify drift and generate a status report.

Community
Intermediate
LopeWaleLopeWale

architect

Diagnose knowledge graph health and drift from health reports and friction patterns.

Community
Advanced
lightningfastslslightningfastsls

architect

Analyze health signals and friction patterns to propose research-backed knowledge system changes.

Community
Advanced