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Skill

/dev-learner

Meta-skill — extract reusable skills from the current conversation. Identifies patterns that appeared 3+ times and proposes them as new skills. Pairs with skill-creator builtin.

From plugin
evo-nexus
520193 skills38 agents40 commands9 MCP
Install
$ npx -y skills add evolution-foundation/evo-nexus --skill dev-learner --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/dev-learner

Context preview

The summary Claude sees to decide when to auto-load this skill.

Meta-skill — extract reusable skills from the current conversation. Identifies patterns that appeared 3+ times and proposes them as new skills. Pairs with skill-creator builtin.

SKILL.md

dev-learner.SKILL.md
name: dev-learner
description: Meta-skill — extract reusable skills from the current conversation. Identifies patterns that appeared 3+ times and proposes them as new skills. Pairs with skill-creator builtin.

Dev Learner

Derived from oh-my-claudecode (MIT, Yeachan Heo). Adapted for the EvoNexus Engineering Layer.

Meta-skill: scan the current conversation for patterns that appeared 3+ times and propose extracting them as reusable skills. The "self-improving workspace" feedback loop.

Use When

  • A long session involved repeated workflows that aren't yet skills
  • You want to formalize a pattern you keep manually invoking
  • Post-EPIC retrospective: what should have been a skill but wasn't?

Do Not Use When

  • Single-pattern conversation → no extraction value
  • The pattern is too specific to one project → keep as agent memory
  • The pattern is already a skill → just document it better

Workflow

Phase 1 — Pattern Detection

Scan the conversation for:

  • **Repeated workflows** — same sequence of agents called 3+ times
  • **Repeated prompts** — similar instructions issued repeatedly
  • **Repeated outputs** — same artifact format produced multiple times
  • **Repeated handoffs** — same agent pair invoked together repeatedly

Phase 2 — Extraction

For each detected pattern: 1. Name it (e.g., "PR review pipeline", "Debug investigation flow") 2. Describe the trigger 3. Document the steps 4. Identify the agents involved 5. Identify the inputs and outputs

Phase 3 — Proposal

Propose the new skill:

  • **Name:** suggested skill name (`dev-{action}` if engineering, `{prefix}-{action}` otherwise)
  • **Trigger:** when to invoke
  • **Workflow:** the steps
  • **Pairs with:** which agents/skills

Phase 4 — Creation (optional)

If user accepts, hand off to `skill-creator` (builtin) to actually generate the skill file.

Output

## Learner Report — {session topic}

### Patterns Detected
1. **{Pattern name}**
   - Occurrences: 4 times
   - Steps: ...
   - Suggested skill: `dev-{action}`

2. **{Pattern name}**
   - ...

### Skill Proposals
[Detailed proposal for each detected pattern]

### Recommendation
[Which to extract first, which to skip]

Pairs With

  • `skill-creator` (builtin) — to generate the actual skill file
  • `create-agent` (builtin) — if the pattern warrants a new agent instead
  • All 19 engineering agents (which patterns might be extracted from)

Anti-patterns

  • Over-extraction (every 2-occurrence sequence becomes a skill)
  • Under-extraction (missing genuine repeated patterns)
  • Naming conflicts (proposing names that collide with existing skills)
Read more
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