# Cfn Knowledge Base

> MUST BE USED after every CFN Loop execution to capture successful patterns. Query before repeating any task type to retrieve prior learnings, avoid re-solving solved problems. Organizational learning from CFN Loop: workflow codification and playbooks.

- Skill: `masharratt/cfn-knowledge-base` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add masharratt/cfn-knowledge-base`
- Raw SKILL.md: https://api.skillmd.com/api/skills/masharratt/cfn-knowledge-base/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: masharratt (https://skillmd.com/u/masharratt)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/masharratt/cfn-knowledge-base

---


# Knowledge Base Skill (Mega-Skill)

**Version:** 1.0.0
**Purpose:** Organizational learning from CFN Loop execution
**Status:** Production
**Consolidates:** workflow-codification, cfn-playbook
**Confidence:** 7.0/10 (dual learning systems)

---

## Overview

This mega-skill provides organizational learning:
- **Workflow** - Track edge cases, failures, cost metrics, ROI
- **Playbook** - Store successful patterns, agent configs, iteration strategies

---

## Directory Structure

```
knowledge-base/
├── SKILL.md              # This file
├── execute.sh            # Main entry point
├── cli/
│   └── knowledge-base.sh # Unified CLI interface
├── lib/
│   ├── workflow/         # From workflow-codification
│   └── playbook/         # From cfn-playbook
└── data/                 # Database files (created on init)
    ├── workflows.db
    ├── playbooks.db
    └── learnings.db
```

---

## Learning System

- **Successes** → Playbook (what worked)
- **Failures** → Workflow codification (what to avoid)
- Combined: Complete organizational memory

---

## Migration Paths

| Old Path | New Path |
|----------|----------|
| workflow-codification/ | knowledge-base/lib/workflow/ |
| cfn-playbook/ | knowledge-base/lib/playbook/ |

---

## Usage

### Main Entry Point
```bash
# Initialize databases
./execute.sh init

# Query for patterns
./execute.sh query 'authentication'

# Store new learning
./execute.sh store playbook '{"task_type": "auth", "pattern": "..."}'

# Show help
./execute.sh help
```

### Advanced CLI Usage
```bash
# Direct CLI access
./cli/knowledge-base.sh --help

# Query workflow patterns
./cli/knowledge-base.sh query-workflow --pattern 'auth'

# Query playbook entries
./cli/knowledge-base.sh query-playbook --task-type bugfix

# Store learning with metadata
./cli/knowledge-base.sh store-learning \
  --type workflow \
  --category edge-case \
  --data '...' \
  --confidence 0.85
```

## Version History

### 1.1.0 (2025-12-08)
- Fixed bootstrap utilities path to use shared location
- Created unified CLI interface
- Added main execute.sh entry point
- Integrated workflow and playbook functionality

### 1.0.0 (2025-12-02)
- Consolidated workflow + playbook into unified knowledge base

---

## Learnings Integration

A lightweight per-project learnings system complements the knowledge base. While the knowledge base stores structured workflow and playbook data in SQLite, the learnings system uses append-only JSONL files for fast, low-friction logging of patterns, pitfalls, and preferences discovered during agent work.

See [LEARNINGS.md](./LEARNINGS.md) for the full specification, including storage format, subcommands (`/learn`), auto-logging hooks, and pruning rules.