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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.

Quellinformationen

Repository
evolution-foundation/evo-nexus
Letzte Quellaktivität
10. April 2026 um 16:24
Erkannte Sprache von SKILL.md
Englisch
Sterne
548
Forks
180

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
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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