fastclaw-skill-learner

Name: fastclaw-skill-learner
Availability: InStock
Author: softbreezee

Extract reusable workflows from conversations with 3+ tool calls into JSON skill objects.

Updated Apr 7, 2026

Search Tags:#automation #workflow #patterns #nlp #conversations #analyze #skill-extraction

Ready to run

npx skills add https://github.com/softbreezee/claw-os --skill fastclaw-skill-learner

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fastclaw-skill-learner
Source: https://github.com/softbreezee/claw-os/tree/main/skills/fastclaw-skill-learner
Command: npx skills add https://github.com/softbreezee/claw-os --skill fastclaw-skill-learner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze conversations to identify reusable, multi-step workflows that can be saved as skills, enabling rapid replication of proven automation across tasks.

Core Features & Use Cases

Detects when a conversation demonstrates a repeatable 3+ step workflow suitable for generalization.
Produces a structured skill skeleton (name, slug, description, and content) for reuse.
Helps maintain a growing library of automated capabilities by extracting from real interactions.

Quick Start

Run the extractor on a conversation transcript to generate a reusable skill skeleton when a 3+ step workflow is detected.

Frequently Asked Questions about fastclaw-skill-learner

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

FAQPage Schema

How do I extract reusable automation patterns from conversations?▼

This skill identifies reusable workflows by analyzing conversations that demonstrate a repeatable sequence of three or more tool calls, then outputs a structured JSON payload containing the skill name, slug, description, and content for generalization.

What makes a conversation suitable for skill extraction?▼

Conversations with three or more tool calls in a repeatable sequence are suitable for skill extraction, especially when the identified workflow pattern is generalizable beyond the scope of a single specific task.

How do I generate a skill skeleton from NLP conversation analysis?▼

Running the extractor on a conversation transcript generates a reusable skill skeleton, outputting a structured JSON payload that includes an extract boolean and a skill object containing the name, slug, description, and content.

Can I automate workflow extraction for a library of repeatable processes?▼

Yes, automating workflow extraction helps maintain a growing library of automated capabilities by detecting repeatable multi-step workflows from real interactions and saving them as structured skills for rapid replication of proven automation.

What is the best way to identify generalizable workflows in conversation transcripts?▼

Identifying generalizable workflows involves analyzing conversation transcripts for multi-step sequences with three or more repeatable tool calls, then extracting the structured skill skeleton to apply the pattern across broader tasks.