White-box AVM skill for Japanese land price assessment. Re-estimates hedonic coefficients on every run from MLIT transaction data, generating broker-side worksheets (full coefficient disclosure) and client-facing assessment reports (xlsx). Part of the Claude Coworker series by Signal Yield Advisory.
tochi-satei-kun is a Claude Code agent skill that white-box AVM skill for Japanese land price assessment. Re-estimates hedonic coefficients on every run from MLIT transaction data, generating broker-side worksheets (full coefficient disclosure) and client-facing assessment reports (xlsx). Part of the Claude Coworker series by Signal Yield Advisory.
npx skills add signal-yield/tochi-satei-kunInstalled? Explore more Pesquisa e Análise de Dados skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
White-box AVM skill for Japanese land price assessment. Re-estimates hedonic coefficients on every run from MLIT transaction data, generating broker-side worksheets (full coefficient disclosure) and client-facing assessment reports (xlsx). Part of the Claude Coworker series by Signal Yield Advisory.
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.