Unified research methodology for AI agents combining ICD 203, GRADE, PRISMA, Cochrane, and five other frameworks into a 14-step evidence-based process. Anti-sycophantic by design. Implemented as a Claude Code skill with claim and query modes.
ai-research-methodology is a Claude Code agent skill that unified research methodology for AI agents combining ICD 203, GRADE, PRISMA, Cochrane, and five other frameworks into a 14-step evidence-based process. Anti-sycophantic by design. Implemented as a Claude Code skill with claim and query modes.
npx skills add wphillipmoore/ai-research-methodologyInstalled? Explore more Investigación y análisis de datos skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
Unified research methodology for AI agents combining ICD 203, GRADE, PRISMA, Cochrane, and five other frameworks into a 14-step evidence-based process. Anti-sycophantic by design. Implemented as a Claude Code skill with claim and query modes.
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.