Afrexai Knowledge Management

# Knowledge Management System

> Turn tribal knowledge into searchable, maintained organizational intelligence. Stop losing expertise when people leave.

## Phase 1: Knowledge Audit

### Current State Assessment

Score each dimension 1-5 (1=nonexistent, 5=excellent):

| Dimension | Score | Evidence |
|-----------|-------|----------|
| Documentation coverage | | % of processes documented |
| Findability | | Can new hire find answers in <5 min? |
| Freshness | | % of docs updated in last 6 months |
| Contribution culture | | % of team actively contributing |
| Onboarding effectiveness | | Time to productivity for new hires |
| Knowledge retention | | Impact when someone leaves |
| Cross-team sharing | | Teams accessing other teams' knowledge |

**Total Score: ___/35**

Interpretation:
- 28-35: Mature — optimize and maintain
- 21-27: Developing — fill gaps systematically
- 14-20: Basic — needs foundational work
- 7-13: Critical — knowledge is at risk

### Knowledge Risk Register

```yaml
knowledge_risk:
  single_points_of_failure:
    - person: "[Name]"
      unique_knowledge: "[What only they know]"
      risk_if_leaves: "high|medium|low"
      extraction_priority: 1
      extraction_method: "interview|shadowing|recording|pair-work"
  
  undocumented_processes:
    - process: "[Name]"
      frequency: "daily|weekly|monthly|quarterly"
      complexity: "high|medium|low"
      current_owner: "[Name]"
      documentation_priority: 1
  
  tribal_knowledge:
    - topic: "[What people 'just know']"
      holders: ["[Name1]", "[Name2]"]
      impact_area: "[What breaks without it]"
      capture_method: "interview|workshop|write-up"
```

### Knowledge Extraction Interview Guide

For each single-point-of-failure person:

1. **Context**: "I'm documenting [X] so the team isn't dependent on any one person. This protects you too — less interruptions."
2. **Process walk**: "Walk me through [X] from start to finish. I'll record/note."
3. **Decision points**: "Where do you make judg...

# 🧠 Knowledge Management System by AfrexAI

**Stop losing expertise when people leave.** Turn tribal knowledge into searchable, maintained organizational intelligence.

## What This Does

Your AI agent becomes a knowledge management consultant that:
- Audits your current knowledge state and identifies single-points-of-failure
- Designs taxonomy, templates, and contribution workflows
- Creates runbooks, ADRs, troubleshooting guides, and decision trees from templates
- Tracks document freshness and assigns review schedules
- Measures KB health with a 100-point scoring system

## Install

```bash
clawhub install afrexai-knowledge-management
```

## Quick Start

```
"Audit our knowledge management"
"Design a KB structure for our engineering team"
"Write a runbook for deploying to production"
"Plan knowledge extraction for our departing engineer"
```

## What's Inside

- **Knowledge Risk Register** — identify single-points-of-failure before they leave
- **5 Document Templates** — runbook, reference, ADR, troubleshooting, decision tree
- **4C Quality Test** — Clear, Correct, Current, Concise
- **Contribution System** — incentives, workflows, cultural norms
- **Freshness Policy** — automated review schedules with escalation
- **Health Dashboard** — 6-dimension scoring (0-100) with KPIs
- **Knowledge Capture Workflows** — post-incident, post-meeting, new hire, exit transfer
- **Cross-Team Knowledge Map** — who produces/consumes what
- **ROI Calculator** — prove the value of documentation

## ⚡ Level Up

This free skill gives you the methodology. For industry-specific knowledge frameworks with pre-built templates, compliance mappings, and domain taxonomies:

**[AfrexAI Context Packs — $47](https://afrexai-cto.github.io/context-packs/)**

- 🏥 Healthcare Pack — HIPAA documentation requirements, clinical knowledge management
- 💻 SaaS Pack — Engineering knowledge systems, API documentation architecture
- 🏗️ Construction Pack — Safety procedures, project knowledge transfer
-...