Agent Skills
› evolution-foundation/evo-nexus
› dev-learner
dev-learner
GitHub元技能,用于从对话中识别重复3次以上的模式,并提议将其提取为可复用的新技能,实现工作区自我改进。
Trigger Scenarios
长会话中出现未形式化的重复工作流程
希望将手动调用的固定模式标准化
项目回顾时寻找应被提取为技能的遗漏点
Install
npx skills add evolution-foundation/evo-nexus --skill dev-learner -g -y
SKILL.md
Frontmatter
{
"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:
- 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)
Version History
- 7f5dd76 Current 2026-07-25 04:53


