dev-learner

Detect repeated conversation patterns and propose reusable skill structures.

520|175|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/EvolutionAPI/evo-nexus --skill dev-learner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dev-learner
Source: https://github.com/EvolutionAPI/evo-nexus/tree/main/.claude/skills/dev-learner
Command: npx skills add https://github.com/EvolutionAPI/evo-nexus --skill dev-learner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Long or multi-agent engineering sessions often generate repeated sequences of prompts, handoffs, and outputs that are never formalized, causing wasted manual repetition and inconsistent results. Dev Learner identifies those recurring patterns and converts them into discoverable, reusable skills so teams can automate repeatable developer workflows.

Core Features & Use Cases

  • Pattern Detection: Scans conversation history for repeated workflows, prompts, outputs, or agent handoffs that appear three or more times.
  • Structured Proposals: Generates a named skill proposal with triggers, step-by-step workflow, involved agents, and inputs/outputs for each detected pattern.
  • Creation Hand-off: When approved, pairs with a skill-creator to automatically generate the new skill file or suggests creating a new agent for broader workflows.
  • Use Case: During a sprint retrospective, extract a frequently repeated PR review flow into a single dev-pr-review skill to standardize reviews and save time.

Quick Start

Run dev-learner on the active conversation to detect patterns that occurred three or more times and propose skill extractions.

Frequently Asked Questions about dev-learner

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

FAQPage Schema
How do I extract reusable skills from repeated developer workflows in a conversation?

To extract reusable skills from developer workflows, the system scans conversation history for repeated prompts, outputs, or agent handoffs appearing three or more times and generates structured skill proposals.

What is the best way to automate repeated multi-agent handoffs during long engineering sessions?

Automating repeated multi-agent handoffs involves detecting recurring patterns in long engineering sessions and converting them into discoverable, reusable skills to eliminate manual repetition and ensure consistent results.

How do I formalize a repeated PR review process into a structured skill proposal?

To formalize a repeated PR review process, the system detects the recurring workflow and generates a structured proposal containing a suggested name, trigger, step-by-step workflow, involved agents, and inputs.

Can I automatically generate a skill file from detected patterns in a sprint retrospective?

Yes, you can generate a skill file from detected patterns by approving the structured proposal, which optionally invokes a skill-creator to automatically generate the new skill file or suggest a new agent.

Does dev-learner require a minimum number of repeated prompts to detect a workflow pattern?

Yes, dev-learner requires a pattern to appear three or more times in the active conversation before identifying it as a repeatable process and generating a structured skill extraction proposal.

When should I not use automated skill extraction for agent workflows?

You should avoid automated skill extraction for agent workflows when conversations are short or lack repeated sequences of prompts and outputs, as the system requires patterns appearing three or more times.