Dev Learner

SkillDev tools

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Dev Learner skill

What this skill tells your AI

The instructions your AI receives, as published by evolution-foundation/evo-nexus in .claude/skills/dev-learner/SKILL.md and read by ahel’s review.

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)

Signals

GitHub stars
533
Forks
177
Last commit
May 2026
Advanced
Catalog kind
skill
Gateway key
dev-learner
Source
github.com/evolution-foundation/evo-nexus