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lygav
lygavCOMMUNITY
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knowledge-lifecycle

Route knowledge management intents to seed, sync, and graduate workflows.

Updated Apr 12, 2026
Search Tags:#automation#knowledge-management#cross-domain#federation#pattern-detection#learning-log#seeding-skills
One-click install
npx skills add https://github.com/lygav/vladi-plugins-marketplace --skill knowledge-lifecycle
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge-lifecycle
Source: https://github.com/lygav/vladi-plugins-marketplace/tree/main/plugins/squad-federation-core/skills/knowledge-lifecycle
Command: npx skills add https://github.com/lygav/vladi-plugins-marketplace --skill knowledge-lifecycle

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The knowledge-lifecycle skill streamlines federated knowledge management by orchestrating seed, sync, and graduate workflows, delegating heavy lifting to scripts, and surfacing learnings for reuse across domains.

Core Features & Use Cases

  • Orchestrates seed, sync, and graduate knowledge flows across multiple domains.
  • Collects user intents, resolves missing parameters, and delegates work to scripts with standardized JSON outputs.
  • Enables querying and surfacing insights from the learning log to inform improvements and pattern detection.

Quick Start

Seed a new domain knowledge flow and coordinate updates across teams.

Frequently Asked Questions about knowledge-lifecycle

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

FAQPage Schema
How do I coordinate cross-domain knowledge flows across multiple teams?▼

Cross-domain knowledge flows are coordinated by orchestrating seed, sync, and graduate workflows, which routes user intents to appropriate scripts and enforces standardized JSON outputs. This propagates skills and patterns across teams.

What is the best way to automate federated knowledge management for onboarding and syncing?▼

Federated knowledge management is automated by identifying user intents and delegating heavy lifting to scripts, applying workflows across onboarding, cross-domain syncing, and learning graduation to surface reusable insights.

How do I detect patterns from a learning log to inform knowledge improvements?▼

Pattern detection is achieved by querying and surfacing insights from the learning log through standardized JSON results. This enables teams to identify recurring knowledge patterns and inform continuous improvements.

Can I use scripts with non-interactive JSON results to enforce domain scoping in knowledge management?▼

Yes, you can enforce parameter collection and domain scoping by delegating work to scripts that generate non-interactive JSON results. This ensures standardized outputs across all knowledge management workflows.

When do I need to seed a new domain knowledge flow?▼

You need to seed a new domain knowledge flow when establishing a fresh cross-domain syncing process or onboarding routine. This initial step allows you to coordinate updates and propagate skills across teams effectively.

Does cross-domain knowledge federation work without resolving missing parameters?▼

No, cross-domain knowledge federation requires resolving missing parameters before delegating work to scripts. Enforcing parameter collection guarantees that domain scoping and standardized JSON outputs are maintained.

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