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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.

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evolution-foundation/evo-nexus
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2026년 4월 10일 16:24
감지된 SKILL.md 언어
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SKILL.md
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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 ```markdown ## 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)
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