Dev Learner
SkillDev toolsMeta-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.
No other account needed.
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:
- Name it (e.g., "PR review pipeline", "Debug investigation flow")
- Describe the trigger
- Document the steps
- Identify the agents involved
- 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 filecreate-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