TreeSkill は何をしますか？
Optimize LLM agents with train-free Kode forward runs, skill evolution, and beam search prompt pruning for better performance
Optimize LLM agents with train-free Kode forward runs, skill evolution, and beam search prompt pruning for better performance
TreeSkill is a Claude Code agent skill that optimize LLM agents with train-free Kode forward runs, skill evolution, and beam search prompt pruning for better performance.
npx skills add abhijeeth2004/TreeSkillInstalled? Explore more 研究＆データ分析 skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
Optimize LLM agents with train-free Kode forward runs, skill evolution, and beam search prompt pruning for better performance
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.