skill-forge

Detect recurring workflow patterns and generate SKILL.md files.

1|2|Updated Feb 15, 2026

Search Tags:#automation #skill generation #self-improvement #ai development #pattern detection #workflow codification

Ready to run

npx skills add https://github.com/jaminitachi/SuperClaw --skill skill-forge-jaminitachi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-forge
Source: https://github.com/jaminitachi/SuperClaw/tree/main/skills/skill-forge
Command: npx skills add https://github.com/jaminitachi/SuperClaw --skill skill-forge-jaminitachi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the creation of new AI skills by detecting and codifying recurring workflow patterns, transforming implicit knowledge into explicit, reusable automation.

Core Features & Use Cases

Pattern Detection: Identifies repeated sequences of actions across sessions.
Automatic Skill Generation: Creates new SKILL.md files based on detected patterns.
Self-Improvement: Enhances the AI's capabilities over time by building a library of specialized skills.
Use Case: If you consistently use a specific sequence of commands to set up a new project, Skill Forge can turn that sequence into a single command for future use.

Quick Start

Use the skill forge to create a new skill for the pattern of deploying and notifying about new releases.

Frequently Asked Questions about skill-forge

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

FAQPage Schema

How do I automate skill generation from repeated workflow patterns?▼

Automate skill generation by detecting recurring sequences of tool usage and user interactions from session history, then codifying those patterns into new `SKILL.md` files. This transforms implicit workflow knowledge into explicit, reusable automation for future tasks.

What is pattern detection for AI workflow codification?▼

Pattern detection for workflow codification identifies repeated sequences of actions across past sessions. It validates these extracted sequences against historical examples to ensure quality before automatically generating self-improving AI skills.

How do I turn session history into reusable AI skills?▼

Turn session history into reusable AI skills by searching past memory for recurring user interactions and tool usage sequences. The extracted patterns are validated against previous examples and automatically compiled into structured `SKILL.md` files.

Can I auto-generate a skill for a specific deployment and notification sequence?▼

Yes, you can auto-generate a skill for a specific deployment and notification sequence. If you consistently use a specific sequence of commands for tasks like releasing updates, the pattern detection mechanism codifies it into a single automated skill.

Do I need external dependencies to codify recurring tool usage into skills?▼

No external dependencies are required to codify recurring tool usage into skills. The skill generation process relies entirely on internal memory search, pattern extraction, and validation against past examples to build self-improving automation.

What are the limitations of self-improving AI skill generation from patterns?▼

Self-improving AI skill generation from patterns requires sufficient session history to accurately detect and validate recurring sequences. If past interactions lack consistent tool usage patterns, the automated codification into `SKILL.md` files may not produce relevant or high-quality skills.