auto_train_skills은(는) 무엇을 하나요?
Apply ML training loops to prompt engineering — run evals, LLM-grade outputs, and track pass rates to iteratively improve Claude Code skills
Apply ML training loops to prompt engineering — run evals, LLM-grade outputs, and track pass rates to iteratively improve Claude Code skills
auto_train_skills is a Claude Code agent skill that apply ML training loops to prompt engineering — run evals, LLM-grade outputs, and track pass rates to iteratively improve Claude Code skills.
npx skills add dave-wind/auto_train_skillsInstalled? Explore more 연구 & 데이터 분석 skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
Apply ML training loops to prompt engineering — run evals, LLM-grade outputs, and track pass rates to iteratively improve Claude Code skills
Agent skill repository discovered by 10x-chat research.
Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.