How do I install the Cfn Knowledge Base skill?

Run npx skillmds@latest add masharratt/cfn-knowledge-base in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Cfn Knowledge Base safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Cfn Knowledge Base?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Cfn Knowledge Base free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Cfn Knowledge Base?

masharratt (@masharratt) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Cfn Knowledge Base by masharratt — Agent Skill

Name: Cfn Knowledge Base
Rating: 4.2 (5 reviews)
Author: masharratt

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.

masharratt Updated Sep 10, 2026

File contents

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

# 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

# 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 for the full specification, including storage format, subcommands (/learn), auto-logging hooks, and pruning rules.

---name: cfn-knowledge-basedescription: 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.---# 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)---## OverviewThis 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 IntegrationA 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.

Frequently asked questions