Transform AI-generated academic text into natural, human-like scholarly writing for social sciences. Detects AI patterns (repetitive structures, abstract language, mechanical flow) and rewrites with authentic academic voice. Use when revising AI-drafted papers, improving writing naturalness, reducing AI detection markers, or when user mentions humanizing text, academic writing quality, or social science writing for non-native English speakers.
humanize-academic-writing is a Claude Code agent skill that transform AI-generated academic text into natural, human-like scholarly writing for social sciences. Detects AI patterns (repetitive structures, abstract language, mechanical flow) and rewrites with authentic academic voice. Use when revising AI-drafted papers, improving writing naturalness, reducing AI detection markers, or when user mentions humanizing text, academic writing quality, or social science writing for non-native English speakers.
npx skills add https://github.com/momo2young/humanize-academic-writing/tree/main/skills/humanize-academic-writingInstalled? Explore more Recherche et analyse de données skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
Transform AI-generated academic text into natural, human-like scholarly writing for social sciences. Detects AI patterns (repetitive structures, abstract language, mechanical flow) and rewrites with authentic academic voice. Use when revising AI-drafted papers, improving writing naturalness, reducing AI detection markers, or when user mentions humanizing text, academic writing quality, or social science writing for non-native English speakers.
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.